Netflix uses three NoSQL tools: SimpleDB, HBase and Cassandra. "The reason why we use multiple NoSQL solutions is because each one is best suited for a specific set of use cases," Izrailevsky writes. He writes that the learning curve has been steep and re-architecting the company's systems has been difficult but "the scalability, availability and performance advantages of the NoSQL persistence model are evident and are paying for themselves already, and will be central to our long-term cloud strategy."
Read it
Saturday, February 5, 2011
How Twitter Uses NoSQL
InfoQ has released a video of Twitter's Kevin Weil speaking at Strange Loop earlier this year on how the company uses NoSQL. Weil is quick to point out that Twitter is heavily dependent on MySQL. However, Twitter does employ NoSQL solutions for many purposes for which MySQL isn't ideal. According to Weil, Twitter users generate 12 terrabytes of data a day - about four petabytes per year. And that amount is multiplying every year. Read on for our notes on Weil's talk.
Read it here
Cassandra vs MongoDB vs CouchDB vs Redis vs Riak vs HBase comparison
While SQL databases are insanely useful tools, their tyranny of ~15 years is coming to an end. And it was just time: I can't even count the things that were forced into relational databases, but never really fitted them.
But the differences between "NoSQL" databases are much bigger than it ever was between one SQL database and another. This means that it is a bigger responsibility on software architects to choose the appropriate one for a project right at the beginning.
Read all here
But the differences between "NoSQL" databases are much bigger than it ever was between one SQL database and another. This means that it is a bigger responsibility on software architects to choose the appropriate one for a project right at the beginning.
Read all here
Tuesday, February 1, 2011
Stockopedia becomes the first social investing platform to launch real-time analytics for Contributors
The Publisher Analytics platform leverages MongoDB, a document-oriented database adept at handling high volumes of information, well suited for large scale data processing and most famously used at CERN for handling data generated by the Large Hadron Collider.
Ramin Keene, Stockopedia CTO, said: “We’ve been using MongoDB for an experimental internal analytics system, monitoring activity by our 100,000+ users and around 20,000 investment topics, stocks and sectors. We felt confident that we could expand the application using the same architecture at scale for all our users to have access to personalised, real time analytics about how the investment community is interacting with their content. Our aim is to ensure that our tools keep the Stockopedia userbase - whether they be investors, financial publishers or listed companies - as informed as possible, as instantaneously as we possibly can.”
Read more here
Ramin Keene, Stockopedia CTO, said: “We’ve been using MongoDB for an experimental internal analytics system, monitoring activity by our 100,000+ users and around 20,000 investment topics, stocks and sectors. We felt confident that we could expand the application using the same architecture at scale for all our users to have access to personalised, real time analytics about how the investment community is interacting with their content. Our aim is to ensure that our tools keep the Stockopedia userbase - whether they be investors, financial publishers or listed companies - as informed as possible, as instantaneously as we possibly can.”
Read more here
Subscribe to:
Posts (Atom)
