NoSQL: Cassandra User Frustrations and Improvement Suggestions

Cassandra User Frustrations and Improvement Suggestions

From a very civilized thread on such a delicate topic:

tags:Cassandra

via NoSQL databases

NoSQL: MongoDB in the Amazon Cloud

MongoDB in the Amazon Cloud

A discussion on the MongoDB group about EBS snapshot backups of journaled MongoDB reminded me of a Jared Rosoff's slides "MongoDB on EC2 and EBS" which cover many important aspects of running MongoDB on the Amazon cloud:

tags:MongoDB

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NoSQL: Prototyping Applications with MongoDB

Prototyping Applications with MongoDB

When prototyping an application it's common to need to change the database frequently and MongoDB allows me to do that without the need of generating migrations and keeping the DB schema in the model layer.

tags:MongoDB

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NoSQL: Global and Local Graph Ranking

Global and Local Graph Ranking

Marko A.Rodriguez [1] :

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NoSQL: NoSQL + Node.js + Buzzword Bullshit

NoSQL + Node.js + Buzzword Bullshit

From the "Node.js Convincing the boss guide":

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NoSQL: Follow the Data

Follow the Data

From the series “follow the money”, “cherchez la femme”, now via Jim Harris [1] follow the data :

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NoSQL: State of the Linking Open Data Cloud

State of the Linking Open Data Cloud

The following diagram visualizes the data sets in the LOD cloud as well as their interlinkage relationships. Each node in this cloud diagram represents a distinct data set published as Linked Data. The arcs indicate that RDF links exist between items in the two connected data sets. Heavier arcs roughly correspond to a greater number of links between two data sets, while bidirectional arcs indicate the outward links to the other exist in each data set.

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NoSQL: CouchDB Tutorial: Starting to relax with CouchDB

CouchDB Tutorial: Starting to relax with CouchDB

Liam Green-Hughes concluding after briefly presenting the basic features in CouchDB:

tags:CouchDB

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NoSQL: NoSQL & Cloud at Netflix

NoSQL & Cloud at Netflix

Today Netflix can be seen as a leader in what can be achieved by combining cloud computing and polyglot persistence. Not only that, but Netflix has chosen to share their experience with everyone else so we can all learn from their experience.

via NoSQL databases

NoSQL: How Digg is Built? Using a Bunch of NoSQL technologies

How Digg is Built? Using a Bunch of NoSQL technologies

The picture should speak for Digg's polyglot persistency approach:

tags:Redis,HBase,Hadoop,Memcached

via NoSQL databases

NoSQL: Scaling up a Riak Cluster on Amazon EC2

Scaling up a Riak Cluster on Amazon EC2

A conversation about administering and scaling up a Riak cluster on Amazon EC2 captured on Mark Phillip's Riak recap

tags:Riak

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NoSQL: When NoSQL makes better sense than MySQL

When NoSQL makes better sense than MySQL

TInniam V Ganesh:

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NoSQL: Ravel Hopes to Open-Source Graph Databases

Ravel Hopes to Open-Source Graph Databases

Ravel, an Austin, Texas-based company, wants to provide a supported, open-source version of Google's Pregel software called GoldenOrb to handle large-scale graph analytics.

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NoSQL: Cassandra and Neo4j Used by Evident ClearStone APM

Cassandra and Neo4j Used by Evident ClearStone APM

The new architecture of Evident ClearStone APM is using both Cassandra and Neo4j:

tags:Neo4j

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NoSQL: MongoDB, memcached, EHCache: Compared as Distributed L2 Caches

MongoDB, memcached, EHCache: Compared as Distributed L2 Caches

As can be seen, whether the off-host process that manages the cache-data is MongoD or MemcacheD or Terracotta-Server, architecturally they all look equivalent - i.e. a pure-L2 with no-L1 - so that all data needs to be retrieved from over the network and then massaged into a POJO for consumption by the application.

tags:MongoDB,memcached

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NoSQL: Backbone-Redis: Model Persistence in backbone.js and Redis

Backbone-Redis: Model Persistence in backbone.js and Redis

The usual suspects mixed together: node.js , socket.io , Redis , express , backbone .

tags:Redis

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NoSQL: The Little MongoDB Book

The Little MongoDB Book

Karl Seguin has put together a 32 page ebook answering some common questions related to MongoDB:

tags:MongoDB

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NoSQL: The Many Faces Of MapReduce - Hadoop and Beyond

The Many Faces Of MapReduce - Hadoop and Beyond

The best panel from Structure Big Data 2011 . Featuring Amr Awadallah [1] , Mike Hoskins [2] , Dwight Merriman [3] , Todd Papaioannou [4] , Ben Werther [5] , the DataStax Brisk official announcement , and a cool parallel between Hadoop processing and cooking approaches from Amr. A must see .

tags:MapReduce,Hadoop

via NoSQL databases

NoSQL: The Many Faces Of MapReduce - Hadoop and Beyond

The Many Faces Of MapReduce - Hadoop and Beyond

The best panel from Structure Big Data 2011 . Featuring Amr Awadallah [1] , Mike Hoskins [2] , Dwight Merriman [3] , Todd Papaioannou [4] , Ben Werther [5] , the DataStax Brisk official announcement , and a cool parallel between Hadoop processing and cooking approaches from Amr. A must see .

tags:MapReduce,Hadoop

via NoSQL databases

NoSQL: Videos from MongoUK Event Thanks to SkillsMatter

Videos from MongoUK Event Thanks to SkillsMatter

10gen continued its MongoDB popularization tour around the world with three events in Europe: London, Paris, and Berlin. SkillsMatter, the organizers of MongoUK have recorded all the sessions and made them available here

tags:MongoDB

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NoSQL: Riak with node.js

Riak with node.js

Video and slides of the latest webinar from Basho guys about using Riak from node.js:

tags:Riak

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NoSQL: Hosting websites out of CouchDB

Hosting websites out of CouchDB

Virtual hosts and URL rewrites have been introduced over an year ago in CouchDB 0.11 . And they have been documented in getting ready for CouchDB .

tags:CouchDB

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NoSQL: Malware, MongoDB and Map/Reduce: A New Analyst Approach

Malware, MongoDB and Map/Reduce: A New Analyst Approach

For those who read my blog and follow my research then you know I chose MongoDB as my backend database to store my PDFs […] Why not standard SQL? Well, I wanted the data to be returned without having to parse a blob everytime (JSON/BSON), PDF files contain a lot of data that are often unique to themselves (document based storing) and Mongo also made it easy to handle dynamic content (no columns). […] I wanted to highlight an interesting way of collecting data and answering questions about my malware using Map/Reduce.

tags:MongoDB,MapReduce

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NoSQL: Mapr: a Competitor to Hadoop Leader Cloudera

Mapr: a Competitor to Hadoop Leader Cloudera

They are said to be building a proprietary replacement for the Hadoop Distributed File System that's allegedly three times faster than the current open-source version. It comes with snapshots and no NameNode single point of failure (SPOF), and is supposed to be API-compatible with HDFS, so it can be a drop-in replacement.

tags:Hadoop

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NoSQL: Does Big Data Need Big Budgets?

Does Big Data Need Big Budgets?

If you'd ask me this question, I'm sure my initial answer would be: "absolutely". And I guess I would not be alone. But is that the right answer?

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NoSQL: Why do we need so many different databases?

Why do we need so many different databases?

My ideal database would borrow from RDBMS (like SQL Server), Document databases (like MongoDB), Graph Databases and Semantic Web Triple Stores; it would be the perfect hybrid of all of these and it would configure itself to be as efficient as possible answering queries.

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NoSQL: MongoDB and Node.js

MongoDB and Node.js

I am starting a joint venture with my very good friend, where I am doing the coding, and I decided that I will be doing it in Node.js with a MongoDB backend. […] Node and MongoDB are built for scaling, but I'm not too concerned about that at the moment. […] Although it is 10% for the learning factor, 90% for the cool factor.

tags:MongoDB

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NoSQL: Using Redis with Ruby on Rails

Using Redis with Ruby on Rails

TL;DR: Redis is fucking awesome.

tags:Redis

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NoSQL: AOL AdLead Powered by Riak Components

AOL AdLead Powered by Riak Components

A story of using Riak for its Dynamo-like building blocks :

tags:Riak,Membase

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NoSQL: Brisk: The Brangelina of Big Data

Brisk: The Brangelina of Big Data

Now that's a title: The Brangelina of Big Data: Cassandra mates with Hadoop. Open source celebrity supercouple . The article is a genealogy tree: Hadoop, Hive, Cassandra, DataStax.

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NoSQL: The realtime web with gevent, socket io, redis and django

The realtime web with gevent, socket io, redis and django

To show you how to achieve this we are going to build a quick Tic Tac Toe application using SocketIO, gevent, redis, and Django.

tags:Redis

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NoSQL: Cassandra + Hadoop = Brisk by DataStax

Cassandra + Hadoop = Brisk by DataStax

I just heard DataStax, the company offering Cassandra services, announcement about Brisk a Hadoop and Hive distribution built on top of Cassandra:

tags:Hadoop

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NoSQL: MongoDB: ObjectId Tricks

MongoDB: ObjectId Tricks

John Nunemaker shares a couple of tricks using MongoDB ObjectID:

tags:MongoDB

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NoSQL: How Scalable is VoltDB?

How Scalable is VoltDB?

Percona guys [1] have run, analyzed, and concluded about VoltDB scalability:

tags:VoltDB

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NoSQL: Types of Big Data Work

Types of Big Data Work

Mike Minelli: Working with big data can be classified into three basic categories […] One is information management, a second is business intelligence, and the third is advanced analytics Information management captures and stores the information, BI analyzes data to see what has happened in the past, and advanced analytics is predictive, looking at what the data indicates for the future.

via NoSQL databases

NoSQL: Types of Big Data Work

Types of Big Data Work

Mike Minelli: Working with big data can be classified into three basic categories […] One is information management, a second is business intelligence, and the third is advanced analytics Information management captures and stores the information, BI analyzes data to see what has happened in the past, and advanced analytics is predictive, looking at what the data indicates for the future.

via NoSQL databases

NoSQL: Data Warehouse 2011 Market According to Gardner

Data Warehouse 2011 Market According to Gardner

Donald Feinberg, vice president and distinguished analyst at Gartner:

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NoSQL: Firefox Downloads Visualization Powered by HBase

Firefox Downloads Visualization Powered by HBase

Not only is Mozilla celebrating the release of Firefox 4 , but they took the time to set up a nice visualization for downloads .

tags:HBase

via NoSQL databases

NoSQL: 5 Criteria to Compare Data Marketplaces

5 Criteria to Compare Data Marketplaces

Interesting way to compare data marketplaces:

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NoSQL: Polyglot Persistence: The Architecture of the Future

Polyglot Persistence: The Architecture of the Future

The architecture of the future based on polyglot persistence:

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NoSQL: Trinity, Dryad, Probase and Bing

Trinity, Dryad, Probase and Bing

Klint Finley (RWW) connecting the dots between Microsoft Research projects Trinity , Dryad , Probase , Bing and competition (Google, Facebook):

via NoSQL databases

NoSQL: SQL Server and SQL Azure Comparison

SQL Server and SQL Azure Comparison

SQL Azure provides relational database functionality as a utility service. Cloud-based database solutions such as SQL Azure can provide many benefits, including rapid provisioning, cost-effective scalability, high availability, and reduced management overhead.

via NoSQL databases

NoSQL: Globals: InterSystems Free NoSQL database for Java

Globals: InterSystems Free NoSQL database for Java

As of now 5 hours until we will get Globals , yet another NoSQL database from InterSystems, the Caché object database creators.

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NoSQL: Scaling Graph Databases: Sharding and Consistent Routing

Scaling Graph Databases: Sharding and Consistent Routing

The subject of scaling graph databases is popping up every now and then proving that sharding highly connected data is still an unresolved problem.

tags:Neo4j

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NoSQL: Trinity: A Graph Database from Microsoft Research

Trinity: A Graph Database from Microsoft Research

Trinity is a graph database and computation platform over distributed memory cloud. As a database, it provides features such as highly concurrent query processing, transaction, consistency control. As a computation platform, it provides synchronous and asynchronous batch-mode computations on large scale graphs. Trinity can be deployed on one machine or hundreds of machines.

via NoSQL databases

NoSQL: Reddit's Story of Running Cassandra & PostgreSQL on Amazon EBS

Reddit's Story of Running Cassandra & PostgreSQL on Amazon EBS

I'm still distilling what happened at Reddit the other days when failures of EBS in a single availability zone took Reddit down for many hours:

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NoSQL: HP CEO about Relational Databases

HP CEO about Relational Databases

James Governor reporting from the HP CEO Leo Apotheker keynote at the HP Analyst Summit:

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NoSQL: 11 Big-Data Analytics Predictions for 2011

11 Big-Data Analytics Predictions for 2011

Maybe I'm over-simplifying it, but I'm reading Ketan Karia's [1] "11 BigData analytics predictions for 2011" as in:

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NoSQL: Some observations on MongoDB & CouchDB

Some observations on MongoDB & CouchDB

It turns out the reason it was the right choice was that Mongo is quite traditional. It relies on you having a middle tier where your app logic resides. Couch is more radical and it not only replaces the traditional database but also the middle tier. If, as we did on this particular project, you already have a middle tier then using Couch adds complexity to the solution. Some of the app functionality ends up in the mid-tier and some in Couch. With Mongo you keep doing what you were doing. Query result processing and Map Reduce functions are all defined within the Java, Python, etc. code. When we needed a data import script the logic was all in the script and not split between script and database.

tags:MongoDB,CouchDB

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NoSQL: Dealing With Distributed State

Dealing With Distributed State

Jeff Darcy [1] :

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NoSQL: Allura: SourceForge Open Platform Powered by MongoDB

Allura: SourceForge Open Platform Powered by MongoDB

SourceForge was the first major MongoDB case study — you can check Mark Ramm's talk about MongoDB at SourceForge . Now they are releasing Allura which uses MongoDB:

tags:MongoDB

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NoSQL: Relational Databases and NoSQL Databases

Relational Databases and NoSQL Databases

James Prickett:

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NoSQL: R and the web in 2011

R and the web in 2011

The last couple of posts were about BigData and Jeffrey Horner's presentation is inline with this topic:

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NoSQL: The Key Technical Challenge of Cloud Computing

The Key Technical Challenge of Cloud Computing

Adrian Cockcroft [1] :

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NoSQL: Make Data Available - Open Data Manual

Make Data Available - Open Data Manual

From the Open Data Manual :

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NoSQL: Social Analytics on MongoDB

Social Analytics on MongoDB

Just in case you needed yet another example of building analytics systems on top of MongoDB: Patrick Stokes' [1] presentation about how Buddy Media is implementing their entire platform analytics engine on MongoDB:

tags:MongoDB

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NoSQL: Cloudera: A Business Inteligence Leader

Cloudera: A Business Inteligence Leader

The Informatica accord is Cloudera's second partnership this year with a leading DI player. Back in August, Cloudera cemented a deal with open source software (OSS) data integration (DI) specialist Talend. It also has partnerships with Teradata Corp., the former Netezza Inc., the former Greenplum Software Corp., Aster Data Systems Inc., Vertica Inc., and Pentaho. One thing's for sure: Cloudera is certainly attracting attention.

tags:Hadoop

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NoSQL: Couchbase Server: What is This First Release?

Couchbase Server: What is This First Release?

You've probably read everywhere about the Couchbase Server first release .

tags:CouchDB,Couchbase,Membase

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NoSQL: The Joy of Indexing

The Joy of Indexing

Patrick Durusau:

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NoSQL: MySQL Fork Drizzle Released

MySQL Fork Drizzle Released

Drizzle aims to be different from MySQL, stripping out "unnecessary" features loved by enterprise and OEMs in the name of greater speed and simplicity and for reduced management overhead. Drizzle has no stored procedures, triggers, or views […]

tags:VoltDB

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NoSQL: MongoDB Tailable Cursors

MongoDB Tailable Cursors

Tailable cursors are a cool feature of MongoDB. It allows you to setup scripts that run forever and are constantly processing new data that gets inserted to the collection. You need a capped collection in order to tail a cursor […]

tags:MongoDB

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NoSQL: Polyglot Persistence: The Future of Database Usage

Polyglot Persistence: The Future of Database Usage

Josh Berkus [1] :

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NoSQL: Redis Commands Dissected: GET and SET

Redis Commands Dissected: GET and SET

Paul Smith:

tags:Redis

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NoSQL: Creating a Simple and Efficient Rating System with MongoDB

Creating a Simple and Efficient Rating System with MongoDB

A couple of tricks for using MongoDB's $set operator, dealing with properties that contain dots for creating a basic rating system:

tags:MongoDB

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NoSQL: Google Paper: Availability in Globally Distributed Storage Systems

Google Paper: Availability in Globally Distributed Storage Systems

Google paper presented at Proceedings of the 9th USENIX Symposium on Operating Systems Design and Implementation, 2010:

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NoSQL: Oracle and MySQL Future

Oracle and MySQL Future

Curt Monash:

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NoSQL: Strategies for Exploiting Large-scale Data

Strategies for Exploiting Large-scale Data

In a guest post hosted by Cloudera blog , Bob Gourley [1] enumerates the characteristics of working with Big Data from federal agencies perspective.

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NoSQL: An Introduction to Distributed Filesystems

An Introduction to Distributed Filesystems

Jeff Darcy obliged:

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NoSQL: The Fourth Paradigm: Data-Intensive Scientific Discovery

The Fourth Paradigm: Data-Intensive Scientific Discovery

This book is about a new, fourth paradigm for science based on data- intensive computing. In such scientific research, we are at a stage of development that is analogous to when the printing press was invented. Printing took a thousand years to develop and evolve into the many forms it takes today. Using computers to gain understanding from data created and stored in our electronic data stores will likely take decades — or less. In Jim Gray's last talk to the Computer Science and Telecommunications Board on January 11, 2007, he described his vision of the fourth paradigm of scientific research. He outlined a two-part plea for the funding of tools for data capture, curation, and analysis, and for a communication and publication infrastructure. He argued for the establishment of modern stores for data and documents that are on par with traditional libraries.

via NoSQL databases

NoSQL: Persisting Eclipse Modeling Framework models to MongoDB

Persisting Eclipse Modeling Framework models to MongoDB

The project is called mongo-emf […] One feature that I hope you will find attractive is that there are no annotations or XML configuration files required.

tags:MongoDB

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NoSQL: Using Oracle Berkley DB as a NoSQL Data Store

Using Oracle Berkley DB as a NoSQL Data Store

Simple as it may be at its core, Berkeley DB can be configured to provide concurrent non-blocking access or support transactions, scaled out as a highly available cluster of master-slave replicas, or in a number of other ways. Berkeley DB is a pure storage engine that makes no assumptions about an implied schema or structure to the key-value pairs. Therefore, Berkeley DB easily allows for higher level API, query, and modeling abstractions on top of the underlying key-value store.

via NoSQL databases

NoSQL: Data Privacy and Data Marketplaces Future

Data Privacy and Data Marketplaces Future

Data gathered and sold by RapLeaf can be very specific. According to documents reviewed by the Journal, RapLeaf's segments recently included a person's household income range, age range, political leaning, and gender and age of children in the household, as well as interests in topics including religion, the Bible, gambling, tobacco, adult entertainment and "get rich quick" offers. In all, RapLeaf segmented people into more than 400 categories, the documents indicated.

via NoSQL databases

NoSQL: Perspectives on Big Data by Werner Vogels

Perspectives on Big Data by Werner Vogels

The engineering perspective:

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NoSQL: Neo4j on Windows Azure

Neo4j on Windows Azure

It started as an embedded database. Then it became a server. Now it is available on Microsoft Azure:

tags:Neo4j

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NoSQL: Soulmate: Redis-backed Autocompletion

Soulmate: Redis-backed Autocompletion

Inspired by Auto Complete with Redis , Soulmate uses sorted sets to build an index of partially completed words and the corresponding top matching items, and provides a simple sinatra app to query them.

tags:Redis

via NoSQL databases

NoSQL: Redis: Why Wait for Good Enough?

Redis: Why Wait for Good Enough?

That said it can be more than a little painful to watch it go through the normal growing pains associated with a promising project. […] When we learned that Redis VM wasn't performing at scale in production environments it really spooked us. When antirez said he was looking down the barrel of implementing his own BTree (not even the best solution for modern storage backends) from scratch I started to get upset. Like angry upset. When the news started to float about the filesystem  datastore (one file per key) I started to look for other solutions.

tags:Redis

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NoSQL: Hadoop, Hive and Redis for Foursquare Analytics

Hadoop, Hive and Redis for Foursquare Analytics

Foursquare’s move from querying the production databases to a data analytics system using Hadoop and Hive with Redis playing the role of a cache:

tags:Hadoop,Redis

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NoSQL: Clustrix: Distribution, Fault Tolerance, and Availability Models

Clustrix: Distribution, Fault Tolerance, and Availability Models

Using as a pretext a comparison with MongoDB — why MongoDB? — Sergei Tsarev provides some details about Clustrix data distribution, fault tolerance, and availability models.

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NoSQL: Comparing Dryad and Hadoop

Comparing Dryad and Hadoop

Madhu Reddy [1] comparing the commercial and not yet released Dryad with the open source, widely used Hadoop :

tags:Hadoop

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NoSQL: RethinkDB and SSD Write Performance

RethinkDB and SSD Write Performance

I didn't know too much about RethinkDB until watching Tim Anglade's interview with Slava Akhmechet and Mike Glukhovsky . There were mainly three things that caught my attention:

via NoSQL databases

NoSQL: Hadoop and NoSQL Databases at Twitter

Hadoop and NoSQL Databases at Twitter

Three presentations covering the various NoSQL usages at Twitter:

tags:Hadoop,HBase

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NoSQL: Real Life Issues With Big Data In The Enterprise

Real Life Issues With Big Data In The Enterprise

Paul Michaud:

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NoSQL: iOS Mobile Couchbase

iOS Mobile Couchbase

What iOS Mobile Couchbase give you:

tags:Couchbase,CouchDB

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NoSQL: The Unreasonable Effectiveness of Data

The Unreasonable Effectiveness of Data

From Alon Halevy, Peter Norvig, and Fernando Pereira paper (PDF) :

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NoSQL: From CouchDB to Riak at Linkfluence

From CouchDB to Riak at Linkfluence

We were already aware of Riak before we started using CouchDB, but we weren't sure about trusting a new product at this point, so we decided, after some benchmark, to go for CouchDB. After the first couple of months, it was obvious that this was a bad choice. Our main problems with CouchDB is scalability, versioning and stability.

tags:CouchDB,Riak

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NoSQL: CouchDB Tutorial: Getting Started with CouchDB

CouchDB Tutorial: Getting Started with CouchDB

There are plenty of CouchDB tutorials and the CouchDB definitive guide is available online, but having CouchDB basics — setup, admin interface, user management, common access patterns — presented in a single page can still be useful. Gavin Cooper has published such a short guide to CouchDB:

tags:CouchDB

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NoSQL: RDF Stores are The Silverbullet

RDF Stores are The Silverbullet

I wasn't aware that RDF stores are the silverbullet for storage:

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NoSQL: redisfs - a Replication-Friendly Filesystem

redisfs - a Replication-Friendly Filesystem

The notion of a replication-friendly storage system inspired me to build a filesystem around it, using the FUSE system.

tags:Redis

via NoSQL databases

NoSQL: Redis and HBase for Mozilla Grouperfish Storage

Redis and HBase for Mozilla Grouperfish Storage

About Mozilla Grouperfish architecture and choosing a scalable storage solution:

tags:Redis,HBase,Riak

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NoSQL: Everyone's Welcome in the NoSQL Commune

Everyone's Welcome in the NoSQL Commune

The challenge for NoSQL members going forward — if they care to — will be to keep the community spirit strong as commercial interests grow even stronger. Given the relative immaturity of the market, there's certainly something to be said about maintaining the communal vibe and openly discussing their various projects in mass meetups in Silicon Valley and across the country. A rising tide lifts all boats, after all.

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NoSQL: Everything Drives Storage

Everything Drives Storage

James Governor about storage and EMC:

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NoSQL: Store and Forget or: How I learned to Stop Worrying and Love MongoDB

Store and Forget or: How I learned to Stop Worrying and Love MongoDB

Schemaless, JSON, Speed:

tags:MongoDB

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NoSQL: MongoDB Pre-Splitting for Faster Data Loading and Importing

MongoDB Pre-Splitting for Faster Data Loading and Importing

Jeremy Zawodny (Craigslist) explains how to optimize the import of data that far exceeds the amount of RAM available in a sharded MongoDB cluster:

tags:MongoDB

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NoSQL: Where will BigData be Profitable?

Where will BigData be Profitable?

A Quora.com thread asking about profitable big data opportunities. While nobody can predict the future, here are some suggestions from Rahul Sood :

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NoSQL: Limit MongoDB memory use on Windows without Virtualization

Limit MongoDB memory use on Windows without Virtualization

If you are using MongoDB on a dedicated server then you generally want it to use all the memory it can but if you want to use it on a server shared with other processes then you will want to put a cap on how much it uses to ensure memory is kept available for the other processes. So is it possible if you are not on a virtualized environment? Yes and we'll explore how

tags:MongoDB

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NoSQL: Facebook Builds HBase-based Real-Time Analytics

Facebook Builds HBase-based Real-Time Analytics

More applications of HBase at Facebook, after the new messaging system :

tags:HBase

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NoSQL: BigData is Great, But What About Quality

BigData is Great, But What About Quality

Robert Karel [1] :

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NoSQL: Node.js + NoSQL Database => Real Time Chat Applications

Node.js + NoSQL Database => Real Time Chat Applications

Just in case you still don't believe that everyone — and I mean everyone — is building a "chat" application using node.js and some flavor of NoSQL database, here is another one: chattrr . It uses node.js and Redis and the code is available on GitHub .

tags:Redis

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NoSQL: Ruby On Rails: Cron Job Scheduling using Redis, Resque, and Rufus

Ruby On Rails: Cron Job Scheduling using Redis, Resque, and Rufus

The 5 R: Ruby on Rails, Redis, Resque, Rufus.

tags:Redis

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NoSQL: The Story of Scaling Union Station

The Story of Scaling Union Station

You think you are ready to scale:

tags:MongoDB

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NoSQL: MongoDB Tips: Resizing Your Oplog

MongoDB Tips: Resizing Your Oplog

Kristina Chodorow:

tags:MongoDB

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NoSQL: The NoSQL Gene in SQL Azure Federations

The NoSQL Gene in SQL Azure Federations

[SQL Azure] Federations bring great benefits of NoSQL model into SQL Azure where it is needed most. I have a special love for RDMSs after having worked on 2, Informix and SQL Server but I also have a great appreciation for NoSQL qualities after having worked on challenging web platforms. These web platforms need flexible app models with elasticity to handle unpredictable capacity requirements and needed the ability to deliver great computational capacity to handle peaks and at the same time deliver that with great economics. NoSQL does bring advantages in this space and I'd argue SQL Azure is inheriting some of these properties of NoSQL through federations.

via NoSQL databases

NoSQL: New OrientDB Release: new memory model, new graph api, much more stable

New OrientDB Release: new memory model, new graph api, much more stable

In its way towards the 1.0 version, OrientDB announced a new release featuring:

tags:OrientDB

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NoSQL: jQuery Mobile and CouchDB

jQuery Mobile and CouchDB

A long series of articles by Todd Anderson on building a DHTML application for mobiles using jQuery Mobile and CouchDB:

tags:CouchDB

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NoSQL: Riak as a Django Session Store

Riak as a Django Session Store

Using an external reliable storage for web sessions makes sense when you don't want to use sticky balancers:

tags:Riak

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NoSQL: Redis: Le système de cache parfait

Redis: Le système de cache parfait

I love how this sounds in French:

tags:Redis,memcached,memcacheDB,Membase

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NoSQL: Riak as a Django Session Store

Riak as a Django Session Store

This snippet uses a Riak bucket as a Django session store.

tags:Riak

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NoSQL: Data warehousing: Teradata Acquires Aster

Data warehousing: Teradata Acquires Aster

Data warehousing giant Teradata today agreed to acquire Aster Data, a data analytics provider, proving it's no longer enough to be able to store and access a lot of data quickly; one must also be able to analyze it quickly. This move toward the real-time analysis of data has helped propel other big data acquisitions, from EMC's purchase of Greenplum to IBM's $1.7 billion buy of data warehousing giant Netezza.

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NoSQL: redis : Le système de cache parfait

redis : Le système de cache parfait

I love how this sounds in French:

tags:Redis,MemcacheDB,Membase

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NoSQL: Developing with CouchDB on Android

Developing with CouchDB on Android

So you know why CouchDB on mobile is an awesome fit, but getting CouchDB working on the device is only the first step, for it to be useful CouchDB needs to provide an easy and convenient way to be used on mobile devices. This is the first in a series of introductions to CouchDB on Android. In this post I will take a very basic CouchApp and turn it into a native Android App.

tags:CouchDB

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NoSQL: Adku's Choice: Cassandra or HBase

Adku's Choice: Cassandra or HBase

The 8 6 reasons [1] Adku prefers Cassandra to HBase:

tags:HBase

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NoSQL: Webdis: A Redis HTTP Interface with JSON Support

Webdis: A Redis HTTP Interface with JSON Support

Written in C, supporting HTTP 1.1 pipelining, using only GET and POST and making Redis commands part of the URI, with output in multiple formats (json, bson, txt, raw), ready to be forked or used on GitHub

tags:Redis

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NoSQL: Storing RDF in Wide-Column Databases (Cassandra, HBase)

Storing RDF in Wide-Column Databases (Cassandra, HBase)

You basically have two options in how to store RDF data in wide-column databases like HBase and Cassandra: the resource-centric approach and the statement-centric approach. In the statement-oriented approach, each RDF statement corresponds to a row key (for instance, a UUID) and contains subject, predicate and object columns. In Cassandra, each of these would be supercolumns that would then contain subcolumns such as type and value, to differentiate between RDF literals, blank nodes and URIs. If you needed to support named graphs, each row could also have a context column that would contain a list of the named graphs that the statement was part of. […] In view of the previous considerations, the resource-oriented approach is generally a better natural fit for storing RDF data in wide-column databases. In this approach, each RDF subject/resource corresponds to a row key, and each RDF predicate/property corresponds to a column or supercolumn. Keyspaces can be used to represent RDF repositories, and column families can be used to represent named graphs.

tags:HBase

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NoSQL: 9 Things to Acknowledge about NoSQL Databases

9 Things to Acknowledge about NoSQL Databases

Excellent list:

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NoSQL: Ehcache: Distributed Cache or NoSQL Store?

Ehcache: Distributed Cache or NoSQL Store?

This is a guest post by Greg Luck, Founder and CTO, Ehcache .

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NoSQL: Setting up a Cassandra Cluster in Under 2 Minutes

Setting up a Cassandra Cluster in Under 2 Minutes

Jake Luciani:

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NoSQL: Redis Manifesto

Redis Manifesto

We're against complexity. We believe designing systems is a fight against complexity. We'll accept to fight the complexity when it's worthwhile but we'll try hard to recognize when a small feature is not worth 1000s of lines of code. Most of the time the best way to fight complexity is by not creating it at all.

tags:Redis

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NoSQL: nodechat.js – Using node.js, backbone.js, socket.io, and redis to make a real time chat app

nodechat.js – Using node.js, backbone.js, socket.io, and redis to make a real time chat app

Geek fun: take node.js and a NoSQL database — usually it is MongoDB, CouchDB, or Redis, but adventurous types could even try Riak, HBase, or Cassandra — and create a "real-time" chat or collaborative editor:

tags:Redis

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NoSQL: Gmail back soon or Replication vs Data Recovery

Gmail back soon or Replication vs Data Recovery

You might wonder why posting about this glitch in Gmail. It is this part that makes it relevant for data folks:

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NoSQL: Introducing Couchup. An interactive Couchdb Console

Introducing Couchup. An interactive Couchdb Console

I know Futon is nice, but as a developer i need more power. And even though HTTP is ubiquitous, i need simple ways of sending requests to Couchdb, without dealing with setting the headers and json encoding the parameters. So I wrote a simple, irb based Couchdb Console, we call it Couchup.

tags:CouchDB

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NoSQL: Jetty Session Clustering with Redis

Jetty Session Clustering with Redis

The Jetty module jetty-session-redis uses Jedis, the Java client of Redis. The configuration is completely transparent for a Webapp since you only need to modify the jetty.xml server configuration plus de webapp context files. We have also implemented several serializers for your session attributes: XStream JSON JBoss Serializer JDK Serializer

tags:Redis

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NoSQL: Benchmarking MongoDB

Benchmarking MongoDB

The code is purposely a naive implementation, to test how fast each back end is without resorting to optimizations, hacks or tricks. There are probably ways of making it much faster. And even though the production code will be very different to this early experiment, it is not an evil, synthetic micro-benchmark: on the contrary, it is a real application!

tags:MongoDB

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