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DBMS > Spark SQL vs. TDengine vs. TiDB vs. Transbase

System Properties Comparison Spark SQL vs. TDengine vs. TiDB vs. Transbase

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonTDengine  Xexclude from comparisonTiDB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS and big data platformTiDB 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 resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score4.66
Rank#70  Overall
#38  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitespark.apache.org/­sqlgithub.com/­taosdata/­TDengine
tdengine.com
pingcap.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tdengine.comdocs.pingcap.com/­tidb/­stablewww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software FoundationTDEngine, previously Taos DataPingCAP, Inc.Transaction Software GmbH
Initial release2014201920161987
Current release3.5.0 ( 2.13), September 20233.0, August 20228.0.0, March 2024Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL V3, also commercial editions availableOpen Source infoApache 2.0commercial infofree development license
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 languageScalaCGo, RustC and C++
Server operating systemsLinux
OS X
Windows
Linux
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyesyes
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 indexesnonoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsStandard SQL with extensions for time-series applicationsyesyes
APIs and other access methodsJDBC
ODBC
JDBC
RESTful HTTP API
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesJava
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnoyes, via alarm monitoringnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreShardinghorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infowith TiSpark Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infofull support since version 6.6yes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes
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.nonono
User concepts infoAccess controlnoyesFine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Spark SQLTDengineTiDBTransbase
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
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TiDB is an advanced open-source, distributed SQL database for modern application...
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Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
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- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
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TiDB is ideal for transactional applications that require extreme scalability and...
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Key customersBlock, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
TiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more
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More resources
Spark SQLTDengineTiDBTransbase
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