Waving goodbye to Netezza
could be your chance to become truly data driven
Modernize your data analytics
We know that every vendor is probably telling you to use their data warehouse now that Netezza is coming to an end. That’s why we want the unrivalled performance and flexibility of our analytics database to speak for itself – put it to the test now with our free edition.
What you need to become truly data-driven
Performance and flexibility for a hybrid data strategy
You need unrivalled performance for your analytics – so you can always make timely and informed decisions that improve every aspect of your business. But you also need to make sure you don’t get stuck with technology that locks you in to one data strategy – either on cloud or on-premises.
Hassle-free implementation and migration times
It goes without saying that whatever data warehouse you choose, it should be a breeze to implement – and it shouldn’t require a costly and time-consuming migration. Ideally, it should also enable you to scale up and down, depending on what you need.
Data science – for AI, ML and predictive analytics
Whether you’re using AI, ML and predictive analytics or not, in the long term they’re going to be an essential part of any data strategy. The key think to consider is how easily (and cost effectively) your data warehouse let’s you work with data science languages – as well as giving you the option to use your own.
Self-optimizing and self-tuning abilities
It’s vitally important that your data warehouse saves you time – whether that’s so you can focus on answering critical business issues or simply to claw back the hours. So, it’s a smart move to consider a data warehouse that is self-optimising and self-tuning.
How our analytics database compares to IBM’s?
IBM’s Integrated Analytics System (IIAS) is IBM’s suggested ‘next step’ for Netezza customers. So let’s take a look to see how it compares to our analytics database.
What is it?
|We have a high-performance in-memory analytics database. The memory is used as a large cache, which enables you to perform queries with your data. And the self-tuning, proprietary algorithms improve over time.||IBM’s new data warehouse appliance runs on IBM Power 8 hardware and relies on IBM Db2 Warehouse. It stores data both in columnar and row storage, and is deployed in containers.|
|Deployment is completely flexible – either on-premises, appliance, VM, on our private cloud, and public clouds, such as AWS, Google Cloud or Azure. We also offers our customers a single node edition for smaller deployments.||IIAS consists of mixed hardware and software components. Unusually, it’s been designed to be cloud-native so the core database engine runs in containers. IBM encourages its customers to use the cloud version – called Db2 Warehouse on Cloud – which is very similar to the appliance.|
Netezza migration compatibility
|Our analytics database supports ANSI-SQL 2008, so all non-proprietary code will work. It can also be extended with UDFs in any programming language, including Python, R, Java and others.||IIAS supports SQL, similar to Exasol. It offers a Netezza compatibility mode. Functions need to be migrated, recompiled and tested.|
Read our white paper for a comprehensive look at your migration path options and see how we stack up next to IBM.
“As an alternative to Netezza, Exasol’s analytics database now represents the de-facto fastest analytical solution in the world and yields a TCO that is at least ten times better that any others in the market – which is hard to ignore for any CIO or CFO“
Slavko Kastelic – Sales & Marketing Director, Co-founder at CRMT
Peek under the hood
What next after Netezza?
Read our whitepaper for a comprehensive look at your migration path options and see how we stack up next to IBM.