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DBMS > EJDB vs. Spark SQL vs. TDengine vs. TerarkDB vs. Transbase

System Properties Comparison EJDB vs. Spark SQL vs. TDengine vs. TerarkDB vs. Transbase

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTDengine  Xexclude from comparisonTerarkDB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Spark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS and big data platformA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument storeRelational DBMSTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbspark.apache.org/­sqlgithub.com/­taosdata/­TDengine
tdengine.com
github.com/­bytedance/­terarkdbwww.transaction.de/­en/­products/­transbase.html
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tdengine.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperSoftmotionsApache Software FoundationTDEngine, previously Taos DataByteDance, originally TerarkTransaction Software GmbH
Initial release20122014201920161987
Current release3.5.0 ( 2.13), September 20233.0, August 2022Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache 2.0Open Source infoAGPL V3, also commercial editions availablecommercial inforestricted open source version availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCScalaCC++C and C++
Server operating systemsserver-lessLinux
OS X
Windows
Linux
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesnoyes
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 indexesnonononoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsStandard SQL with extensions for time-series applicationsnoyes
APIs and other access methodsin-process shared libraryJDBC
ODBC
JDBC
RESTful HTTP API
C++ API
Java API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Java
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Java
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnonononoyes
Triggersnonoyes, via alarm monitoringnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark CoreShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoyes
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
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.noyesno
User concepts infoAccess controlnonoyesnofine grained access rights according to SQL-standard
More information provided by the system vendor
EJDBSpark SQLTDengineTerarkDBTransbase
Specific characteristicsTDengine™ 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
EJDBSpark SQLTDengineTerarkDBTransbase
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