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DBMS > chDB vs. Hive vs. Kinetica vs. SQLite vs. TimesTen

System Properties Comparison chDB vs. Hive vs. Kinetica vs. SQLite vs. TimesTen

Editorial information provided by DB-Engines
NamechDB  Xexclude from comparisonHive  Xexclude from comparisonKinetica  Xexclude from comparisonSQLite  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAn embedded SQL OLAP Engine powered by ClickHousedata warehouse software for querying and managing large distributed datasets, built on HadoopFully vectorized database across both GPUs and CPUsWidely used embeddable, in-process RDBMSIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#376  Overall
#158  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitegithub.com/­chdb-io/­chdbhive.apache.orgwww.kinetica.comwww.sqlite.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdoc.chdb.iocwiki.apache.org/­confluence/­display/­Hive/­Homedocs.kinetica.comwww.sqlite.org/­docs.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software Foundation infoinitially developed by FacebookKineticaDwayne Richard HippOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20232012201220001998
Current release3.1.3, April 20227.1, August 20213.46.0  (23 May 2024), May 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2commercialOpen Source infoPublic Domaincommercial
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 languageJavaC, C++C
Server operating systemsserver-lessAll OS with a Java VMLinuxserver-lessAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.yes
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 indexesyesyesyesyes
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)SQL-like DML and DDL statementsSQL-like DML and DDL statementsyes infoSQL-92 is not fully supportedyes
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
C++
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsnoPL/SQL
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyes
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.yes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users and roles on table levelnofine grained access rights according to SQL-standard

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More resources
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