Integrate Kinetica Using FME

Easily move data from 350+ formats into Kinetica, and exchange information with other data systems.

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Gain Access to 350+ Data Sources

FME data conversion and integration technology enables users to connect their Kinetica database with practically any data or application. FME supports reading and writing between Kinetica and 350+ other formats and applications, including geospatial data for real-time location-based analytics.

FME’s intuitive graphical user interface enables users to easily create data migration workflows without writing any code. Beyond simple translation, FME has a library of transformation tools that can manipulate data to fit any destination model. Move data from any source into Kinetica including JSON, XML, other databases and spatial formats like GeoJSON, KML, OGC WKT (well known text), and take advantage of Kinetica’s speedy GPU-accelerated processing. Conversely, use data from Kinetica in practically any other application.

FME also provides customizable tools that allow you to connect to web services that have an API. Combined with capabilities for reading and writing JSON, FME enables you to integrate Kinetica with any cloud-based application and collect its data.

Keep Kinetica up-to-date with constantly evolving data such as that collected by web applications. By deploying FME technology through FME Server, you can automate Kinetica data migration workflows to run at scheduled intervals or in response to real-time events using business rules.

 

Start creating Kinetica integration workflows with FME:

Step 1: Install a free 30-day trial of FME

Step 2: Download the free Kinetica connector for FME

 

 



About Kinetica

Kinetica is a GPU-accelerated, in-memory analytics database that delivers truly real-time response to queries on large, complex and streaming data sets: 100x faster performance at 1/10 of the hardware of traditional databases. Kinetica’s fully distributed architecture and simplified data structures lead to more predictable scale out on industry-standard hardware. In-database analytics via user-defined functions (UDFs) open the way for converged AI and BI workloads accelerated by GPUs. Kinetica comes with native geospatial and visualization pipeline for interactive location-based analytics. Organizations use Kinetica to simultaneously ingest, explore, analyze and visualize data within milliseconds to make critical decisions and find efficiencies, lower cost, generate new revenue, and improve customer experience. Learn more at kinetica.com.

FME is the data integration platform with the best support for spatial.

Compatibility

The table below outlines how Kinetica is supported by our different FME products, and on which platform(s) the reader and/or writer runs.

Product OS
FME Desktop FME Server FME Cloud Windows 32-bit Windows 64-bit Linux Mac
Reader Professional Edition & Up
Writer Professional Edition & Up

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