The essential things you need from a data analytics platform
Security and performance are vitally important if you want Big Data Analytics as it usually involves security sensitive applications that have to cope with ever-increasing amounts of data. And there are countless case studies which show that a proven way to do this is with on-premises implementation together with an in-memory database. Not to mention the benefit of being able to install a solution on your existing hardware, giving you full control over your own data and enabling you to integrate it with other existing applications and databases.
But is the cloud better for strategic thinking?
A separate on-premises data center may be ideal for operating an in-memory database, but it’s not always the best solution for the overall IT strategy of the entire company. If you think outside of the technical requirement, the cloud offers more flexibility, and is often more cost effective with demand-oriented billing. Plus, you can reduce the IT administration effort needed, as third-party cloud providers take over both maintenance and updating.
But all of this is irrelevant if your chosen cloud isn’t set up for data analytics. One of the most important features of an in-memory database is that it includes analytics tools that are cloud-ready. This is the only way to ensure that big data analytics can be flexibly adapted to the changing requirements of your organisation. And if you already use a cloud solution such as Amazon Web Services, Google Cloud or Microsoft Azure the most strategic thing you can do is find an in-memory database that enables you to do your analytics with what you already have – with no costly implementations or changes to your infrastructure.
Choose a solution to fit your strategy – not the other way around
We don’t want to sit on the fence here, but really it all comes down to what you’re trying to achieve with your data analytics – and the big strategic idea that’s driving all this analysis in the first place. After all, one man’s hybrid cloud is another woman’s on-premises nightmare.
Ultimately, if you’re a decision-maker you need to ask yourself the following three fundamental questions:
- How much flexibility does the IT infrastructure require? Big data analytics that constantly operate under a full load don’t necessarily need to be able to scale flexibly up and down.
- Can the cloud really reduce costs for you? The answer to this question varies greatly depending on the specific application.
- How dependent is your organisation on the services of a particular cloud provider? If you have vendor lock-in, make sure the database is set up for that vendor.
Inevitably the answers to these questions may vary over time. That’s why we believe the key is finding an in-memory analytics database that works both on-premises and with your cloud operations – and at best even in parallel and on different platforms. This will give you maximum flexibility for a data strategy today, tomorrow and in the future.