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

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

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerarkDB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Scalable, distributed, serverless MySQL database platform built on top of VitessSpark SQL is a component on top of 'Spark Core' for structured data processingA 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 DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbplanetscale.comspark.apache.org/­sqlgithub.com/­bytedance/­terarkdbwww.transaction.de/­en/­products/­transbase.html
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdplanetscale.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperSoftmotionsPlanetScaleApache Software FoundationByteDance, originally TerarkTransaction Software GmbH
Initial release20122020201420161987
Current release3.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoApache 2.0commercial inforestricted open source version availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCGoScalaC++C and C++
Server operating systemsserver-lessDocker
Linux
macOS
Linux
OS X
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.nonono
Secondary indexesnoyesnonoyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like DML and DDL statementsnoyes
APIs and other access methodsin-process shared libraryADO.NET
JDBC
MySQL protocol
ODBC
JDBC
ODBC
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Python
R
Scala
C++
Java
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxnonoyes
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
nonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyes infonot for MyISAM storage enginenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at shard levelnonoyes
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyes infotable locks or row locks depending on storage engineyesyesyes
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.yesnoyesno
User concepts infoAccess controlnoUsers with fine-grained authorization concept infono user groups or rolesnonofine grained access rights according to SQL-standard

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More resources
EJDBPlanetScaleSpark SQLTerarkDBTransbase
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