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The Database for
Time & Space

Real-time analytics database for the next generation of IoT

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Real-Time Analytics Database

Kinetica's lockless architecture, distributed ingestion, and vectorized query enable you to work with data as it pours in. Kinetica allows for simulataneous ingest and query, and avoids the need for constant re-indexing and re-aggregations as new data changes the picture.

Advanced Geospatial Capabilities

Kinetica is built to track billions of objects as they move in real-time. Over 130 geospatial functions, geo-joins, graph solving and matching makes analytics on spatial and time series data at scale easier and faster.

Lower Cost of Ownership

Kinetica's vectorized design is not just for speed – it enables you to do more with less. More power allows for simpler data structures, which means less time engineering the data, more flexibility for exploring the data, and lower compute costs.

Sep 9, 2022

Independent TPC-DS benchmark. Kinetica is over 5000X faster than ClickHouse

Radiant Advisors recently tested Kinetica against the TPC-DS Benchmark Suite. Kinetica was able to execute 98 of 99 queries with "consistent returns", "excellent performance", and "impressive results". Read the Report »

Add context, trigger alerts and make decisions by fusing streaming data with historical data

Simultaneous Ingest & Query

Kinetica's lockless, distributed architecture enables ingest at speed. And the power of vectorized queries mean there is less need to update indexes before data can be explored.

Materialized Views

Join, fuse and aggregate data from streams and static datasets to create real-time representations of constantly evolving data.

and Notifications

Output event streams to Kafka, make decisions, and generate notifications with webhooks. Kinetica enables you to build a genuinely real-time system to monitor changing situations.

Upcoming Webinar: Thursday, September 22 @ 10am PT
Track and Analyze Billions of Entities in Real-Time Register »

For Complex Geospatial & Temporal Questions

Vectorized processing opens the door to amazingly fast analytics and detailed visualization of moving objects at scale.

Impossibly fast geospatial visualization in Tableau - visualize to millions of data points in sub-second time

Geospatial Functions

Work with with geospatial objects (points, shapes, tracks) and take advantage of over 130 vector-enhanced geospatial functions for filtering and joining data by area, by track, custom shapes and more.
Geospatial Analytics »

Visualization Pipeline

Vectorized server-side rendering makes it possible to plot billions of points without bandwidth constraints. Visualizations are rendered as WMS layers, or video, and can be overlaid on maps.
Mapping & Visualization API »

Time Series

Kinetica natively manages time-series data and window functions for efficient time series analysis. Powerful temporal selectors, with ASOF join filters so you can quickly gather data from the past.

Graph Analytics

Create graphs from relational data to optimize routes, match supply and demand, and uncover hidden relationships. Kinetica's flexible graph grammar has feature parity with Cypher.
Graph Analytics »

User Defined Functions

Bring your own custom algorithms or machine learning models to your geospatial data. User Defined Functions (UDFs) enable you to extend Kinetica and make inferences from those models directly alongside your data, rather than moving data out to separate systems for analysis. APIs for C++, Python & Java.
User Defined Functions »

Radiant Advisors - Spatial and Time-Series Databases
"Kinetica outperformed PostGIS in every query and was the only database to pass all feasibility tests across geospatial, time-series, graph, and streaming."

Take a Tour of Kinetica

Kinetica is a delight for administrators and data-engineers to use. Kinetica Workbench provides a sophisticated, yet intuitive interface, to interactively explore data, organize and store SQL workbooks, import and export data streams, and for general database administration.

 Try the Developer Edition »  Take the Tour »

Better Performance with Less Infrastructure.

With it's vectorized algorithms, dynamic tiered storage, and reduced need for supporting data structures, Kinetica enables you to do more with fewer resources and less work than comparable systems.

Large US Financial Institution

700-node spark cluster running queries in hours took seconds on 16 nodes of Kinetica

Top US Retailer

Consolidated 100 nodes of Cassandra(NoSQL) and Spark into 8 Kinetica nodes

Large Pharma

Identical performance between a 88-node Impala cluster and a 6-node Kinetica Intel cluster in Azure
For more examples of customer success   Contact Us

Explore your Data, Manage your Data

Data in Kinetica can be managed and queried with Kinetica Workbench. Or acccess it through native APIs, SQL, or with other systems through either Postgres wireline compatability or the ODBC/JDBC connector.
Manage and analyze data from Kinetica Workbench.

Kinetica Workbench

An analytical, administrative and data management interface to Kinetica. Import data or connect to external data stores. Create workbooks for multi-step analysis, visualization and sharing of results.

  Watch the Video   Take a Tour

Write Queries in SQL

Kinetica has broad support for SQL interaction with a mature suite of SQL functionality. This makes it easy for analysts to be productive quickly.
SQL Query Support »

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 »

Works with Popular BI Tools

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

Take Kinetica for a Test Drive: Developer Edition (Free) Get Started »

Evolved to Meet the Demands of the Modern Enterprise

Scale Out

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

Resource Management »

Cell-Level Security

Kinetica provides advanced data access controls that let you define dynamic obfuscation, redaction, and access rules down to the column level. Kinetica works out of the box with industry standard external authentication and identity systems like LDAP, Active Directory and Kerberos.

Security »

High Availability

Eliminate single points of failure and recover gracefully. 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 »


Kinetica's administration, installation, and configuration management tools give users an intuitive way to provision cloud hardware, configure cluster security, add/remove nodes, data backup and monitor cluster health.

Administration »


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.