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The Database for
Time & Space

Kinetica is a real-time analytic database for time-series and spatial workloads

Built for Today's Real-time Analytics Workloads

Time-Series & Spatial Capabilities

Kinetica supports dozens of spatial and temporal join types, hundreds of in-database analytic functions, and enables visualization of billions of data points on a map.

Geospatial Analytics »

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Freshest Possible Insights

Kinetica provides the lowest possible latency from the time raw data is created until an answer is returned to an ad-hoc query.

Kinetica for Real-time Analytics »

Quickly Operationalize Analytics at Web Scale

Support high concurrency, low latency, downstream applications directly from Kinetica to simplify the operationalization of insights at web scale.

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Industry Crushing Performance

Kinetica's native vectorized architecture acts as a force multiplier that results in order of magnitude performance improvements on a smaller compute footprint and removes complex data engineering.
8x
Faster
than Databricks 9.1 LTS (Photon)
Benchmark Suite
50x
Faster
than ClickHouse 21
Indepedently Benchmarked
240x
Faster

Everything you'd expect in an enterprise database

Write Queries in SQL

Kinetica is ANSI SQL compliant, making temporal and spatial analytics easy to use. SQL Query Support »

Flexible Cloud Deployment Options

Multiple deployment options across AWS, Azure, as a managed service or self-managed

Postgres Compatible

Kinetica connects to a wide range of popular BI tools such as Tableau, Spotfire, PowerBI, ESRI, DBeaver and Grafana for real-time analytics with Postgres Wireline compatibility, or through the ODBC/JDBC connector.

Cell-Level Security

Define dynamic obfuscation, redaction, and access rules down to the column level. Kinetica works with industry standard external authentication and identity systems like LDAP, Active Directory and Kerberos. Security »

Ingest/Egress Universal Formats

Set up continuous data pipelines with Kafka using a simple line of SQL. Or ingest/egress data from, and into, common data formats, including SQL, CSV, Avro, JSON, Parquet and ESRI shapefiles.
Loading Data »

High Availabilty

Kinetica offers node and process failover for in-cluster resiliency, and multiple clusters may be grouped in a ring resiliency to spread data and ensure eventual consistency. High Availability »

Horizontal Scale Out

Work with petabytes of data at speed with Kinetica's memory-first, fully distributed architecture.

REST & Native API's

Data Scientists and Developers can develop sophisticated applications with REST and Native APIs. Language specific APIs are available for C++, C#, Java, Javascript, NodeJS & Python. API Documentation »

Tiered Storage

Kinetica prioritizes and manages data across VRAM, RAM, disk, and cold storage and can create external tables for working with data in HDFS, S3 and Azure.

Easy to Use

Advanced geospatial operations

Work with high-volume streams of time-series data

Native streaming with Kafka

SQL workbooks make it simple to build advanced pipelines

Prebuilt connectors for over 200 data sources

Kinetica Explainer

See what makes Kinetica special in this 2-minute overview

Book a Demo!

Sometimes marketing copy can sound too good to be true. The best way to appreciate the possibilities that Kinetica brings to large-scale geospatial analytics is to see it in action, or try it with your own data, your own schemas and your own queries.

Contact us, and we can set you up with a demo and a trial environment for you to experience it for yourself.