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DBMS > OmniSci vs. TimescaleDB vs. TimesTen

System Properties Comparison OmniSci vs. TimescaleDB vs. TimesTen

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Editorial information provided by DB-Engines
NameOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.23
Rank#123  Overall
#61  Relational DBMS
Score2.91
Rank#104  Overall
#6  Time Series DBMS
Score2.54
Rank#111  Overall
#55  Relational DBMS
Websitewww.omnisci.comwww.timescale.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.omnisci.comdocs.timescale.comdocs.oracle.com/­database/­timesten-18.1
DeveloperMapD Technologies, Inc.TimescaleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release201620171998
Current releaseV411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC
Server operating systemsLinuxLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.noyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLyesyes infofull PostgreSQL SQL syntaxyes
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellPL/SQL
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication with hot standby and reads on replicas infoMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
OmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018TimescaleDBTimesTen
Specific characteristicsTimescale is the creator of TimescaleDB , the first open-source relational database...
» more
The world's first commercial In-Memory Relational Database offering (launched in...
» more
Competitive advantagesTimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
TimesTen offers many advantages over competing products: Mature product with nearly...
» more
Typical application scenariosDevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
» more
TimesTen can be used in a wide range of application areas. Some examples include:...
» more
Key customersTransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Some of our key customers include Ericsson , Telcordia , China Mobile, China Telecom,...
» more
Market metricsWith over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
» more
TimesTen is used by thousands of customers in tens of thousands of deployments worldwide...
» more
Licensing and pricing modelsTimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more
Standard Oracle licence models ; end user and ISV/OEM licence terms available.
» more

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More resources
OmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018TimescaleDBTimesTen
Recent citations in the news

Video Telematics Leader Lytx Selects OmniSci Accelerated Analytics Platform to Help Fleets Reduce Risk and Improve Safety
22 October 2020, PRNewswire

Global GPU Database Market 2020 Top Manufacturers: Nvidia, Kinetica DB, OmniSci, Neo4j, Brytlyt etc.
19 October 2020, Eurowire

Global GPU Database Market Competitors Analysis Forecast 2020 : Nvidia, Kinetica DB, OmniSci, Neo4j, Brytlyt etc.
19 October 2020, TechnoWeekly

Global GPU Database Market Expected to Reach xx.xx Mn By 2026 : Nvidia, Kinetica DB, OmniSci, Neo4j, Brytlyt etc.
18 October 2020, PRnews Leader

GPU Database Market 2020 Global Size, Share, Emerging Trends, Opportunity Assessment, Competitive Landscape, Segmentation and Industry Outlook 2027 - Press Release
23 October 2020, Digital Journal

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Time series databases are hot, but will this spin on open source be cool?
5 October 2020, TechRepublic

Amazon Timestream database is now generally available
1 October 2020, ZDNet

Timescale Database Now Available in 76 Cloud Regions
12 August 2020, Datanami

How Geospatial Data Drives Insight for Bloomberg Users
5 October 2020, Datanami

TimescaleDB Delivers Another Option for Time-Series Analytics
17 October 2019, Datanami

provided by Google News

Business Insider
25 January 2012, Business Insider

provided by Google News

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