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DBMS > Axibase vs. FatDB vs. GridDB vs. TimesTen

System Properties Comparison Axibase vs. FatDB vs. GridDB vs. TimesTen

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonFatDB  Xexclude from comparisonGridDB  Xexclude from comparisonTimesTen  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationA .NET NoSQL DBMS that can integrate with and extend SQL Server.Scalable in-memory time series database optimized for IoT and Big DataIn-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSDocument store
Key-value store
Time Series DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#256  Overall
#19  Time Series DBMS
Score0.75
Rank#192  Overall
#10  Time Series DBMS
Score2.44
Rank#112  Overall
#54  Relational DBMS
Websiteaxibase.com/­products/­axibase-time-series-databasegriddb.netwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgithub.com/­axibase/­atsddocs.griddb.netdocs.oracle.com/­database/­timesten-18.1
DeveloperAxibase CorporationFatCloudToshiba CorporationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2013201220131998
Current release155854.5, June 202011 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial
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 languageJavaC#C++
Server operating systemsLinuxWindowsLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query languageno infoVia inetgration in SQL ServerSQL92, SQL-like TQL (Toshiba Query Language)yes
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Proprietary protocolJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Java
PHP
Python
R
Ruby
C#C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesyes infovia applicationsnoPL/SQL
Triggersyesyes infovia applicationsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate consistency within container, eventual consistency across containersImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
AxibaseFatDBGridDBTimesTen
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
The world's first commercial In-Memory Relational Database offering (launched in...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
TimesTen offers many advantages over competing products: Mature product with nearly...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
TimesTen can be used in a wide range of application areas. Some examples include:...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Some of our key customers include Ericsson , Telcordia , China Mobile, China Telecom,...
» more
Market metricsGitHub trending repository
» more
TimesTen is used by thousands of customers in tens of thousands of deployments worldwide...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Standard Oracle licence models ; end user and ISV/OEM licence terms available.
» more

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AxibaseFatDBGridDBTimesTen
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