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DBMS > InfluxDB vs. jBASE vs. Kinetica vs. OmniSci

System Properties Comparison InfluxDB vs. jBASE vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonjBASE  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsA robust multi-value DBMS comprising development tools and middlewareGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelTime Series DBMSMultivalue DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.33
Rank#32  Overall
#1  Time Series DBMS
Score1.69
Rank#120  Overall
#3  Multivalue DBMS
Score0.60
Rank#193  Overall
#93  Relational DBMS
Score2.30
Rank#104  Overall
#50  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.jbase.comwww.kinetica.comwww.omnisci.com
Technical documentationdocs.influxdata.com/­influxdbdocs.jbase.comwww.kinetica.com/­docsdocs.omnisci.com/­latest
DeveloperZumasysKineticaMapD Technologies, Inc.
Initial release2013199120122016
Current release1.7.8, August 20195.76.0V4
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++C++ and CUDA
Server operating systemsLinux
OS X infothrough Homebrew
AIX
Linux
Windows
LinuxLinux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateNumeric data and Stringsoptionalyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesnono
Secondary indexesnoyesno
SQL infoSupport of SQLSQL-like query languageEmbedded SQL for jBASE in BASICSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP API
JSON over UDP
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Basic
Jabbascript
Java
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnoyesuser defined functionsno
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyyesMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlsimple rights management via user accountsAccess rights can be defined down to the item levelAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
InfluxDBjBASEKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more

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More resources
InfluxDBjBASEKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
DB-Engines blog posts

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Recent citations in the news

InfluxData Brings InfluxDB Cloud 2.0 Serverless Platform to Europe to Support Enterprise Transformation with Time Series Technology
14 November 2019, Business Wire

DevOps Chats: InfluxDB Cloud 2.0 Managed Service for Time Series Data
20 November 2019, DevOps.com

Creating Your Personal IoT/Utility Dashboard Using Grafana, Influxdb & Telegraf on a Raspberry Pi
12 November 2019, IoT For All

InfluxData Adds Major New Customers in 2019 — Underscoring the Extensive Demand and Capabilities of Time Series Technology
27 November 2019, Business Wire

news digest: ONNX at LF AI Foundation, InfluxDB Cloud 2.0, and IBM partners with Stanford Human-Centered AI Institute - SD Times
15 November 2019, SDTimes.com

provided by Google News

Zumasys Acquires jBASE Database
5 January 2015, Business Wire

Zumasys, Inc
5 March 2019, International Spectrum Magazine

Vultar Releases JDBC Drivers for jBASE
3 April 2019, International Spectrum Magazine

Temenos sells non-banking part of jBase to Zumasys
15 February 2016, IBS Intelligence

provided by Google News

Kinetica Active Analytics Platform Incorporates NVIDIA RAPIDS for Predictive Analytics
13 November 2019, Database Trends and Applications

The Kinetica Active Analytics Platform and RAPIDS Now Available on Oracle Cloud Infrastructure to Accelerate Predictive Data Analytics Performance
19 November 2019, Yahoo Finance

GPU Database Market to Gain a Stronghold by 2026
10 December 2019, Statsflash

White paper: Inside Kinetica
6 December 2019, ITWeb

GPU Database Market Latest Trend with Top key players: Kinetica, Omnisci, Sqream
28 November 2019, Montana Ledger

provided by Google News

OmniSci, Intel Join Forces to Produce Better CPU Analytics
2 December 2019, Toolbox

GPU Database Market 2018-2027 Regional Analysis, Industry Size, Emerging Trends and Top Manufacturers are Blazegraph, BlazingDB, Brytlyt, Fuzzy Logix, Jedox, Kinetica DB, Neo4j, OmniSci, SQream Technologies
10 December 2019, Downey Magazine

GPU Database Market Latest Trend with Top key players: Kinetica, Omnisci, Sqream
28 November 2019, Montana Ledger

GPU Database Market Top companies- Kinetica, OmniSci,SQream , Neo4j , NVIDIA , Brytlyt, Blazegraph , BlazingDB, Zilliz
16 November 2019, News Hours Today

GPU Database Market to Show Strong Growth (Kinetica, Omnisci, Sqream, Neo4j and many more..)
12 November 2019, VaporBlash

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