The Real-Time Future of ETL
We’re on the cusp of a huge uptick in data generation thanks to the IoT, but most of that data...
We’re on the cusp of a huge uptick in data generation thanks to the IoT, but most of that data...
San Francisco | April 26th, 2017 – SQLstream, the leading streaming analytics and data wrangling technology provider, today announced their...
Once again we made it down to San Jose, ready for some smarts, some networking, and some bragging because, you...
With Strata Hadoop around the corner and continuous coverage of data lakes, SQL as a preferred language for streaming, and...
There was a lot of interest and discussion at the recent Strata in San Jose around real-time analytics. Seems to be the hot topic, and many have been blogging about it since, including why SQL is a good idea for real-time streaming analytics. I would certainly agree with that sentiment, on the need for SQL for streaming analytics. There are many reasons as to why, some technical such as as the power of the language, and some more business-oriented such as the suitability of SQL platforms for reliable enterprise deployments, better performance and significant lower overall cost when compared with open source and proprietary SQL-like platforms.
Guavus SQLstream’s mission is to make real-time stream analytics easy to use and own with a one-stop-shop solution that performs the best, has the widest footprint, never turns off, and can be developed and customized by data scientists and engineers alike.
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