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DBMS > Postgres-XL vs. Spark SQL vs. TiDB vs. VictoriaMetrics

System Properties Comparison Postgres-XL vs. Spark SQL vs. TiDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NamePostgres-XL  Xexclude from comparisonSpark SQL  Xexclude from comparisonTiDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresSpark 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.A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score4.66
Rank#70  Overall
#38  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.postgres-xl.orgspark.apache.org/­sqlpingcap.comvictoriametrics.com
Technical documentationwww.postgres-xl.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.pingcap.com/­tidb/­stabledocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software FoundationPingCAP, Inc.VictoriaMetrics
Initial release2014 infosince 2012, originally named StormDB201420162018
Current release10 R1, October 20183.5.0 ( 2.13), September 20238.0.0, March 2024v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoMozilla public licenseOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache Version 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 languageCScalaGo, RustGo
Server operating systemsLinux
macOS
Linux
OS X
Windows
LinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yes infoXML type, but no XML query functionalitynonono
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infodistributed, parallel query executionSQL-like DML and DDL statementsyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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 functionsnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes, utilizing Spark Corehorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infowith TiSpark Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyes infofull support since version 6.6no
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoMVCCnoACIDno
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.nononono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoFine grained access rights according to SQL-standard
More information provided by the system vendor
Postgres-XLSpark SQLTiDBVictoriaMetrics
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
Postgres-XLSpark SQLTiDBVictoriaMetrics
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