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DBMS > Apache Doris vs. Hypertable vs. Kinetica vs. TiDB

System Properties Comparison Apache Doris vs. Hypertable vs. Kinetica vs. TiDB

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonTiDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolAn open source BigTable implementation based on distributed file systems such as HadoopFully vectorized database across both GPUs and CPUsTiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#235  Overall
#110  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score4.09
Rank#72  Overall
#38  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.kinetica.compingcap.com
Technical documentationgithub.com/­apache/­doris/­wikidocs.kinetica.comdocs.pingcap.com/­tidb/­stable
DeveloperApache Software Foundation, originally contributed from BaiduHypertable Inc.KineticaPingCAP, Inc.
Initial release2017200920122016
Current release1.2.2, February 20230.9.8.11, March 20167.1, August 20218.2.0, July 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache 2.0
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.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageJavaC++C, C++Go, Rust
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
MySQL client
C++ API
Thrift
JDBC
ODBC
RESTful HTTP API
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesJavaC++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsno
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardinghorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor on file system levelSource-replica replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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.noyes infoGPU vRAM or System RAMno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users and roles on table levelFine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DorisHypertableKineticaTiDB
Specific characteristicsTiDB is an advanced open-source, distributed SQL database for modern application...
» more
Competitive advantages- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
Typical application scenariosTiDB is ideal for transactional applications that require extreme scalability and...
» more
Key customersBlock, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Market metrics34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsTiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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Apache DorisHypertableKineticaTiDB
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