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DBMS > Altibase vs. GridGain vs. Hive vs. JaguarDB vs. TDengine

System Properties Comparison Altibase vs. GridGain vs. Hive vs. JaguarDB vs. TDengine

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonGridGain  Xexclude from comparisonHive  Xexclude from comparisonJaguarDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSGridGain is an in-memory computing platform, built on Apache Ignitedata warehouse software for querying and managing large distributed datasets, built on HadoopPerformant, highly scalable DBMS for AI and IoT applicationsTime Series DBMS and big data platform
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSKey-value store
Vector DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitealtibase.comwww.gridgain.comhive.apache.orgwww.jaguardb.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualswww.gridgain.com/­docs/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homewww.jaguardb.com/­support.htmldocs.tdengine.com
DeveloperAltibaseGridGain Systems, Inc.Apache Software Foundation infoinitially developed by FacebookDataJaguar, Inc.TDEngine, previously Taos Data
Initial release19992007201220152019
Current releasev7.3, 2023, August 2023GridGain 8.5.13.1.3, April 20223.3 July 20233.0, August 2022
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoApache Version 2Open Source infoGPL V3.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .NetJavaC++ infothe server part. Clients available in other languagesC
Server operating systemsAIX
HP-UX
Linux
Linux
OS X
Solaris
Windows
All OS with a Java VMLinuxLinux
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyesno
SQL infoSupport of SQLANSI SQL-92ANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
Proprietary protocol
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
JDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languagesC
C++
Java
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresstored procedures and stored functionsyes (compute grid and cache interceptors can be used instead)yes infouser defined functions and integration of map-reducenono
Triggersyesyes (cache interceptors and events)nonoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)selectable replication factorMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsAccess rights for users, groups and rolesrights management via user accountsyes
More information provided by the system vendor
AltibaseGridGainHiveJaguarDBTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
AltibaseGridGainHiveJaguarDBTDengine
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