It's full-on spring in the Washington DC area, which means beautiful new things are revealing their full potential. At Zoomdata, we're showing off product platform improvements with each Rapid Release cycle.
With version 4, we continue to support our forward-thinking customers who are leaning into big data, streaming data, and multisource analysis for their cloud, on-prem, and embedded analytics solutions.
Microservices done right
Enhancements to our scalable microservices architecture will meet the needs of organizations who require high user concurrency, high availability, and elastic scalability. That's a profound amount of power added to a streaming data analytics platform that already works with data that's too big to move and multiple sources at once. And what's even more impressive? Simplified deployments. So you can focus on your business, not DevOps. Learn more in Microservices Architecture: A Brief History At Zoomdata.
Another recent advancement is the ability to visualize and interact with data at the millisecond level. Yup -- millisecond. We've been saying for a long time that data is fundamentally changing, and so your way of understanding and analyzing data must change with it. Data is no longer a collection of transactions. It's grown massively to include interactions and split-second observations. While traditional BI is fine at aggregating traditional data, Zoomdata is going in the other direction, allowing you to drill down in real time into big data to understand who, what, when, where, and why at the finest level of detail. Read more about it in Second & Millisecond Time Granularity.
Did you know?
Zoomdata as an embedded query engine
Did you know that software development teams can use Zoomdata as a high-powered query engine for their own applications? And why would they want to do that? For one thing, the Zoomdata Query Engine manages security, connectivity, query optimizations, and optional caching. It also simplifies and thus makes it possible to work with modern data sources like Elasticsearch and MongoDB that have their own specialized query languages and system dependencies. Take a quick peak at these short demos to get a sense of what's possible.