Zoomdata Blog Spring Reveals Powerful Potential

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.  Got IoT? 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.    Zoomdata abstracts query requests  Application developers use the same simple query API for Elasticsearch, Impala, MongoDB, Snowflake, SQL Server, and almost anything else you use. No SQL jockeying or XML coding necessary. Zoomdata takes care of the connectivity, query optimization, and optional caching so you can focus on your beautiful application.   Zoomdata can stream data updates  Queries can be updated in real-time with Zoomdata. Our streaming data analytics platform manages windowing, so application developers don't have to worry about expensive query refreshes or stale data. And best of all -- it's data platform agnostic!   Application developers can stream data to embedded charts With the Zoomdata SDK, application developers can use simple JavaScript commands to embed charts and populate them with fresh streaming data -- direct from almost any source. The charts can even use "playable" mode to stream data updates from the source in near-real time. Meet us in the big apple at Strata NYC We're heading to New York City for O'Reilly's Strata Data Conference Sep 23–26, 2019. It promises to be another great event in a great city. Come visit us in booth 1215!