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

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

Editorial information provided by DB-Engines
NameSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTDengine  Xexclude from comparisonTransbase  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 RDBMSTime Series DBMS for IoT Applications
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.sequoiadb.comspark.apache.org/­sqlgithub.com/­taosdata/­TDengine
tdengine.com
www.transaction.de/­en/­products/­transbase.htmlyanza.com
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 GmbHYanza
Initial release20132014201919872015
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 infoAGPL V3, also commercial editions availablecommercial infofree development licensecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
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
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infooid, date, timestamp, binary, regexyesyesyesno
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.nonononono
Secondary indexesyesnonoyesno
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsStandard SQL with extensions for time-series applicationsyesno
APIs and other access methodsproprietary protocol using JSONJDBC
ODBC
JDBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
HTTP 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
any language that supports HTTP calls
Server-side scripts infoStored proceduresJavaScriptnonoyesno
Triggersnonoyes, via alarm monitoringyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataDocument is locked during a transactionnoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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-standardno
More information provided by the system vendor
SequoiadbSpark SQLTDengineTransbaseYanza
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
SequoiadbSpark SQLTDengineTransbaseYanza
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