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The Database
for Time & Space

Real-time analytics database for the next generation of IoT

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Kinetica leverages vectorization for faster and more efficient analysis – particularly for streaming spatial and temporal use-cases.

Real-Time Insights

Ingest and query at the same time to act on real-time events. Kinetica's lockless architecture and distributed ingestion ensures data is available to query as soon as it lands.

Time & Space Analytics

Track and gain intelligence from billions of moving objects in real-time. Vectorization unlocks new levels of performance for analytics on spatial and time series data at scale.

Lower TCO

Vectorized processing enables you to do more with less. More power allows for simpler data structures, which lead to lower storage costs, more flexibility and less time engineering your data.

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.

Real-time
Materialized Views

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

Decisioning
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.

real time risk monitoring with Kinetica
Demo

How to prevent a billion dollar meltdown

See how you can use Kinetica to monitor risk — combine streaming data from market feeds, with historical data from portfolio holdings to generate a continuously updated picture of risk. Try it now »

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 »

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

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 the 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.

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 your BI Tools

Connect popular BI tools such as Tableau, Spotfire and PowerBI to Kinetica for real-time analytics using the ODBC/JDBC connector. Or try Kinetica's own Reveal BI framework

 

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 »

Administration

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 »

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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.