Observe Anything
Vehicles
Kinetica is a real-time database purpose built for enabling analytics and generative AI on time-series & spatial data.
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.
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 »
The Speed Layer
Kinetica serves as a speed layer in an enterprise’s architecture – enabling highly contextual insights on real-time data. Learn More »
Next Level Time Series & Spatial Capabilities
- Unrivaled data fusion capabilities to combine diverse data sources using spatial, temporal, and n-way joins
- Hundreds of highly performant time-series, spatial, graph solvers, and OLAP functions
- Interactive analysis of billions of data points on a map, and tracking of specific objects in motion
Freshest Possible Insights
- Lowest data latency
- Lowest query latency
- Continuously updated materialized views
Lowest Total Cost of Ownership
- Lower compute costs
- 10X lower data engineering costs
- Democratized access with natural language to SQL
Vectorization: Kinetica's Superpower
Kinetica was built from the ground up to take advantage of NVIDIA GPUs and modern many-core CPUs to provide significantly more performance, and with less infrastructure.
Non-vectorized Databases
Kinetica Vectorized Database
Vectorization represents data as arrays of numbers to perform mathematical operations quickly and efficiently on large datasets involving complex calculations.
Conversational Query
Kinetica converts natural language queries to SQL, and returns answers within seconds, even for complex and unknown questions. More »
Kinetica is one of the first database companies to integrate generative AI features within a database
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.
A Range of Industries Use Kinetica
Sensor and machine data is proliferating and creating new opportunities across many industries.
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
Technology Report
Making Sense of Sensor Data
As sensor data grows more complex, legacy data infrastructure struggles to keep pace. A new set of design patterns to unlock maximum value. Get this complimentary report from MIT Technology Review:
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.