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

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

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Editorial information provided by DB-Engines
NameSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTDengine  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS and big data platformA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.50
Rank#264  Overall
#42  Document stores
#121  Relational DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Score2.63
Rank#116  Overall
#9  Time Series DBMS
Score0.20
Rank#327  Overall
#144  Relational DBMS
Websitewww.sequoiadb.comspark.apache.org/­sqlgithub.com/­taosdata/­TDengine
tdengine.com
www.transaction.de/­en/­products/­transbase.html
Technical documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tdengine.comwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperSequoiadb Ltd.Apache Software FoundationTDEngine, previously Taos DataTransaction Software GmbH
Initial release2013201420191987
Current release3.5.0 ( 2.13), September 20233.0, August 2022Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0Open Source infoGPL V3, also commercial editions availablecommercial 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.
Implementation languageC++ScalaCC and C++
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infooid, date, timestamp, binary, regexyesyesyes
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 indexesyesnonoyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsStandard SQL with extensions for time-series applicationsyes
APIs and other access methodsproprietary protocol using JSONJDBC
ODBC
JDBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C++
Java
PHP
Python
Java
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresJavaScriptnonoyes
Triggersnonoyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataDocument is locked during a transactionnoyes
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 controlsimple password-based access controlnoyesfine grained access rights according to SQL-standard
More information provided by the system vendor
SequoiadbSpark SQLTDengineTransbase
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
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