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DBMS > EJDB vs. Interbase vs. Spark SQL vs. TerarkDB

System Properties Comparison EJDB vs. Interbase vs. Spark SQL vs. TerarkDB

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonInterbase  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Light-weight proven RDBMS infooriginally from BorlandSpark 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 MongoDB
Primary database modelDocument storeRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegithub.com/­Softmotions/­ejdbwww.embarcadero.com/­products/­interbasespark.apache.org/­sqlgithub.com/­bytedance/­terarkdb
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.embarcadero.com/­products/­interbasespark.apache.org/­docs/­latest/­sql-programming-guide.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperSoftmotionsEmbarcaderoApache Software FoundationByteDance, originally Terark
Initial release2012198420142016
Current releaseInterBase 2020, December 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoApache 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCScalaC++
Server operating systemsserver-lessAndroid
iOS
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesno
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.no infoexport as XML data possiblenono
Secondary indexesnoyesnono
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsno
APIs and other access methodsin-process shared libraryADO.NET
JDBC
ODBC
JDBC
ODBC
C++ API
Java API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Java
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languagenono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInterbase Change Viewsnonenone
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 possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyes infoMultiversion concurreny controlyesyes
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.yesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnono

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More resources
EJDBInterbaseSpark SQLTerarkDB
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