NoSQL startup DataStax announced on Wednesday that it has added an in-memory option to its commercial version of the Cassandra key-value database. Cassandra is seeing an uptick in adoption right now because of its scalability and ability to span data centers, and the ability to serve data from memory instead of disk will make it a lot faster, too. If the approaches of startups like DataStax, MemSQL and others are any indication, it looks like databases of the future will feature broad ranges of capabilities, data formats and storage options.
For companies looking to expand, acquisitions may seem like a silver bullet. But most of them fail– and here’s why.
With the migration of the data to cloud-based platforms, we have a better ability and greater opportunity to share more information. However, for most enterprises, it’s a wasted opportunity. Perhaps the value is misunderstood, or lost in the hype around “the cloud” that is focused on efficiency and agility.
Feedly has faced two outages since adding millions of users in the wake of the announcement that Google will retire its Google Reader service. Now Feedly is accelerating its monetization plans.
Database startup Drawn to Scale has extended its Spire distributed data platform from SQL to MongoDB. That means users can get high performance from the latter even across hundreds of terabytes.
China’s big four internet companies are big — huge, in fact — but they’re not yet technological innovators like their American counterparts. However, scalability is an an issue that knows no borders, which has spurred some cross-continental cooperation. Will it also inspire a Chinese tech awakening?
Facebook has open sourced a new system called Corona for scheduling and managing Hadoop jobs. Corona attempts to do away with many of the problems that come along with massive-scale Hadoop operations, and soon looks to take Facebook’s Hadoop deployment beyond just MapReduce.
Hosted memcached provider MemCachier is expanding like crazy, moving from its homebase on Heroku into the AppFog, CloudBees, DotCloud and Amazon EC2 platforms. It’s impressive growth for a bootstrapped company that launched in April and was little more than an idea a year ago.
Cloud computing and open source software have freed IT practitioners from so much legacy vendor baggage over the past few years. Isn’t it time to free them from inane benchmark boasting, too? A crowdsourced platform where users share their real-world performance experiences could help.
Benchmarking results from Zencoder show that Amazon Web Services beats out Google’s Compute Engine in a test of a specific CPU-intensive workload. Compute Engine’s performance was hindered by a lack of HPC instances, which Google could one day add. But it’s nice to see real-world comparisons.