Kinetica is a scalable distributed database for real-time analysis of large and streaming data.
It is one of fastest in the market and is particularly well suited for analysis of data with a space and time component. It has an integrated library of vectorized geospatial, graph, time-series and OLAP functions that cover a wide range of analytical use cases. In addition, it also allows you to deploy containerized machine learning models.
It couples this analytical range and performance with the ease of relational data models and SQL. You can deploy real time streaming data pipelines with just a few simple SQL queries that plug into streaming data sources like Kafka to build continuously updating analytical views in Kinetica that can power downstream use cases like web apps and dashboards.
Kinetica has a free developer version that you can try out here: https://www.kinetica.com/try/
Kinetica is the database for time & space. Kinetica makes it easy and fast to:
- ingest massive amounts of IoT data and other contextual data sets
- fuse data sets using spatial and temporal joi
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