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DBMS > Apache Phoenix vs. HyperSQL vs. Spark SQL vs. TiDB

System Properties Comparison Apache Phoenix vs. HyperSQL vs. Spark SQL vs. TiDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBSpark SQL is a component on top of 'Spark Core' for structured data processingTiDB 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 DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score3.90
Rank#85  Overall
#46  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score4.94
Rank#72  Overall
#40  Relational DBMS
Websitephoenix.apache.orghsqldb.orgspark.apache.org/­sqlpingcap.com
Technical documentationphoenix.apache.orghsqldb.org/­web/­hsqlDocsFrame.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.pingcap.com/­tidb/­stable
DeveloperApache Software FoundationApache Software FoundationPingCAP, Inc.
Initial release2014200120142016
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.7.2, June 20233.5.0 ( 2.13), September 20237.6.0, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infobased on BSD licenseOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageJavaJavaScalaGo, Rust
Server operating systemsLinux
Unix
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X
Windows
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsyes
APIs and other access methodsJDBCHTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC
Java
Java
Python
R
Scala
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 functionsJava, SQLnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes, utilizing Spark Corehorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
nonenoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.yesyesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardnoFine grained access rights according to SQL-standard
More information provided by the system vendor
Apache PhoenixHyperSQL infoalso known as HSQLDBSpark SQLTiDB
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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More resources
Apache PhoenixHyperSQL infoalso known as HSQLDBSpark SQLTiDB
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