The Database for
Time & Space
Analyze and observe sensor and machine data in real-time with analytics across spatial, time-series, graph, and AI.
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Trusted By:
FAA uses Kinetica to monitor our airspace
The FAA uses Kinetica for Air Domain Analytics by fusing hundreds of feeds in real-time for more accurate and faster monitoring of our air space.
Liberty Mutual uses Kinetica to deliver faster and more accurate claims management
Liberty Mutual uses Kinetica to modernize Claims Management by fusing real-time weather events with insured building footprints resulting in more accurate and timely responses to catastrophic weather events.
Ford uses Kinetica to improve in-car constraint-based routing
Ford uses Kinetica in their Connected Car program to analyze sensors in real-time resulting in new data driven services.
SM Energy analyzes well and log data to spot opportunities and lower costs.
SM Energy uses Kinetica to improve Energy Exploration with unprecedented visibility into drilling operations.
Citi uses Kinetica to get the edge on Real-time Trading
Citi uses Kinetica for Real-time Trading by constantly recalculating complex financial metrics in near real-time.
T-Mobile optimizes networks with real-time analysis on Kinetica
T-Mobile uses Kinetica for Network Optimization that improves 5G coverage resulting in better cell service for customers. Read More »
Industry Crushing Performance
Kinetica's native vectorized architecture is a force multiplier that delivers huge performance improvements on a smaller compute footprint – which in turn reduces the need for complex data engineering.
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.
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.
Do More with Less
Kinetica's innovative architecture is far more powerful than other in-memory databases. This allows you to get away with simpler data structures, which means less time engineering the data, more flexibility for exploring the data, and lower compute costs.
Recent Webinar
Modernizing IoT Data Management & Analytics
Nima Negahban, CEO of Kinetica, demonstrates how Kinetica helps streamline and simplify data management when working with IoT data and analytics.
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 »
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
Watch the Video
See what makes Kinetica special in this short video overview
Book a Demo!
The best way to appreciate the possibilities that Kinetica brings to high-performance real-time analytics is to see it in action.
Contact us, and we'll give you a tour of Kinetica. We can also help you get started using it with your own data, your own schemas and your own queries.