Posts Tagged ‘NOSQL’

@twitter annotations : What I learnt at the hackfest….

A few of us joined in at the new Twitter office in downtown SF (right next to Moscone Center) and were for the first time shown what Twitter is doing about  “Twitter Annotations”. We probably created the first set of 3rd party applications around this new API. During the Hackathon I spent some time to [...]

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MongoDB: Migration from Mysql at Wordnik

I had the opportunity to listen to Tony Tam at MongoSF talking about why and how they moved Wordnik from Mysql to MongoDB.  Both the Slides and the Video of the talk are attached to the end of this post. Wordnik is a new kind of “word” repository which is much more “current” than traditional [...]

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MongoDB : The bit.ly implementation

I was at the MongoSF conference few weeks ago, and 10gen just hosted one at NY as well.I was taken aback by the simplicity and the hope MongoDB provides. I’ll have a more detailed post about what I think about it in a few days, but until then chew on these slides from bit.ly who [...]

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Scalability links for March 20th 2010 – Lots of datastore related items

Interesting news items for the week Subversion at Google Code is now replicated across multiple datacenter, is 3 times faster and uses Paxos algorithm to guarantee consistency VMware hired the Redis creator Amazon S3 Versioning is ready for production   Presentations,  talks and opinions  Pregel – Google’s Graph DB infrastructure The first public talk (as far [...]

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NoSQL in the Twitter world

NoSQL solutions have one thing in common. They are generally designed for horizontal scalability. So its no wonder that lot of applications in the “twitter” world have picked NoSQL based datastores for their persistence layer. Here is a collection of these apps from MyNoSQL blog. Twitter uses Cassandra MusicTweets used Redis [ Ref ] – [...]

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Cassandra : inverted index

Cassandra is the only NOSQL datastore I’m aware of, which is scalable, distributed, self replicating, eventually consistent, schema-less key-value store running on java which doesn’t have a single point of failure. HBase could also match most of these requirements, but Cassandra is easier to manage due to its tiny footprint. The one thing Cassandra doesn’t [...]

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