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NuoDB 3.0: Making Hybrid Cloud a Reality
Sep 6 2017
Emergence of Elastic SQL
Lately, we’ve been speaking a lot with organizations that have moved from discussing, planning, and strategizing about digital transformation to actually working on concrete ways to make it a reality. For some of the folks we talk to, it’s just an outgrowth and evolution of their cloud or container strategies. While for others, they have very prescriptive steps to take. Some of our customers even have directives that they *must* use an elastic SQL database.
In all these cases, the common theme is that application strategies have evolved to prioritize scale-out, distributed architectures, and continuously available services. Yet unfortunately, the database hasn’t been able to keep up. As a result, they struggle to align their application stack and database systems in a common cohesive strategy.
That’s a huge reason why elastic SQL databases like NuoDB have increased in popularity. Elastic SQL databases are designed to solve this exact data management problem: Provide rich SQL data access and preserve ACID compliant transactions, while allowing the database to elastically scale out.
Active-Active across a Hybrid or Multi-Cloud
With the rising popularity of hybrid environments, the benefits of elasticity should not be limited to a single environment.
In most cases, this means specifically the ability to read and write across a hybrid cloud environment.
Whether it be for migration, disaster recovery, continuous availability, or to serve applications running in multiple environments, the database layer needs to be able to respond to the dynamically changing requirements of the organization, and without losses to data, data consistency, or transactional capabilities.
This is the use case we’ve squarely focused on in NuoDB 3.0. With this release, we have formalized our hybrid cloud strategy with a significant expansion of partnerships like Red Hat, certifications, integrations, and validations with major cloud vendors such as Microsoft and Google (in addition to existing AWS support). NuoDB 3.0 features new validations and integrations for cloud and distributed application environments, core database performance improvements, and streamlined, automated operations. And we now support active-active-active deployments across three data centers.
Why 3.0, Why Now?
I know we’re going to get the question - why is *this* release 3.0? After all, NuoDB has been generally available since 2013. Well, unlike a lot of other tech companies, we’re pretty particular about our release numbering.
It’s not that we haven’t been busy: We’ve had point releases that include major integrations with technologies like Docker, or have supported significant use cases like active-active deployment across two data centers. We’ve had point releases that significantly improved our hybrid transactional / analytical processing. And all that’s just the tip of the iceberg.
So why 3.0 and why now?
Our customers are increasingly replacing legacy databases with NuoDB in large-scale, strategic deployments. NuoDB 3.0 represents the next evolution of a number of enterprise-scale improvements as we support more clouds, more deployment environments, more data centers, and better performance. We’re seeing our customers deploy in more sophisticated architectures and use NuoDB in multi-cloud environments or as an XA resource.
And NuoDB 3.0 is designed to support all of this. This isn’t just about developing cool features that people won’t use. NuoDB 3.0 has significant improvements to ensure that as our customers migrate off of their Oracle and SQL Server environments, they know that NuoDB has the capabilities they need to and can support their enterprise deployments.
So take a look. Go ahead and download it. And let us know what you think!
As Chief Marketing Officer at NuoDB, Jeff defines and executes NuoDB’s go-to-market approach and drives all aspects of corporate and product marketing to create and capitalize on market demand. Jeff draws on more than 25 years’ experience of spurring customer adoption for pioneering data management companies through targeted product and company positioning and program execution.
Follow Jeff on Twitter at @jsboehm