DataStax Enterprise 4.0 goes GA with shiny new in-memory database
Commercial Apache Cassandra is here with souped up search capabilities, and a new solution to help with pesky attention deficit online customers.
DataStax, the company feeding Apache Cassandra to the enterprise masses (400 customers to be precise, 25% of those Fortune 100 companies), announced the GA release of DataStax Enterprise 4.0 today – complete with a new in-memory database option. We caught up with Product Team member Robin Schumacher to find out what the implications of this addition are for fans of super-scalable Cassandra.
In addition to this ‘headline’ feature, DataStax Enterprise 4.0 also offers souped up search functionality, an updated version of the OpsCenter visual monitoring tool, and certified Cassandra 2.0.
The most obvious advantage of inserting an in-memory database to your NoSQL system is speed, speed, speed. We’re all of us becoming increasingly impatient with slow applications, and Schumacher reckons that the majority of people right now expect everything they’re doing on a webpage to finish in two seconds or less. It’s this attention-deficit mentality that’s driving the rise of in-memory databases.
UK retailers lost 8.5 billion Euros because of slow websites in the last year
If pages fail to load within this micro-timeframe, potential visitors will simply head to a different site. Citing a study which revealed that UK retailers lost 8.5 billion Euros because of slow websites in the last year, Schumacher notes that, clearly, businesses want to try everything in their power to stop this revenue drain. Thus, “in-memory becomes one of the tools at their disposal to help with this, and that’s what we’ve now added to our platform.”
He observes that what DataStax customers can now do is to “really dial that performance, and target their data wherever it’s needed in terms of application performance.”
Ultimately, the goal for DataStax with this release is to “take all of the goodness that people enjoy with Cassandra today – the flexible data model, the multi-data centre support, the linear scale out capabilities – and bring all of that to an in-memory database.”
It’s not just in-memory computing that’s seeing a spike in interest. Across the board, Schumacher is seeing customers becoming more educated and aware of the NoSQL market. By offering an enterprise class NoSQL platform that provides users with “the same type of maturity and niceties that they’re used to from the relational database world, coupled with the power and flexibility of Apache Cassandra NoSQL”, DataStax is making strong inroads into the burgeoning user base.
NoSQL is coming of age…and developers are changing their approach to database planning
The company doubled in size last year, and plans are afoot to do this again in 2014. NoSQL is coming of age, and along the way, developers are changing their approach to database planning. For Schumacher, customer feedback in the past was “almost a broken record.” Again and again, people developing heavy duty online applications were “trying to shove the square peg into the round hole by starting with a relational database. They’d start with Oracle, MySQL, and all that, then they’d start to look for a NoSQL solution.”
Now, however, Schumacher is seeing customers who are beginning with NoSQL. He notices that, “They already know when their app isn’t a fit for a relational database. It’s not a why should I anymore – it’s how do I? How do I make this switch? How do I make this happen? That’s the change I’m seeing. “
People are using NoSQL to make money, as opposed to counting it
Schumacher started off as relational database admin, and has noticed that relational databases are very good at what he calls “counting money.” So, “accounting applications, things like that – that’s what they’re really suited for. In our new world of online applications, that’s where NoSQL is coming into play. People are using NoSQL to make money, as opposed to counting it.”
A key example of this is DataStax customer Netflix, who run 95% of their data runs on software from the company. Schumacher can’t release exact statistics, but he can tell me that they are the number one data generator on the internet right now. Running completely in the cloud, across multiple availability zones – all designed to ensure that no Breaking Bad marathon is troubled with lags and downtime – Netflix is, to Schumacher, “ a really good example of today’s modern online application that benefits from NoSQL.”
DataStax remains staunchly open-source, and continues to contribute over 80% of the enhancements and the code that goes into Cassandra. Although they offer a separate community for users, alongside the core, growing Cassandra community, there’s a good deal of convergence between the two, with many devs criss-crossing back and forth. As the major driver of the software, DataStax make a point of extending things like free open source drivers and free online training for the open source community at large.
Netflix is a really good example of today’s modern online application that benefits from NoSQL
Although there are other NoSQL databases with in-memory computing, what Schumacher believes sets DataStax apart is the sheer scalability their software offers. As an example, with one of their in-memory toting competitors, the largest cluster size you can have is only 30 terabytes. In contrast, DataStax customer Ebay have one Cassandra table that’s forty terabytes inside: Just one database object, versus an entire database cluster.
He proudly states: “It’s that type of scale that we offer, and now we can solve those very fast in-memory use cases like these other in-memory NoSQL databases do.“