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DBMS > EJDB vs. Kdb vs. Spark SQL vs. Transbase vs. YottaDB

System Properties Comparison EJDB vs. Kdb vs. Spark SQL vs. Transbase vs. YottaDB

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonKdb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)High performance Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMSA fast and solid embedded Key-value store
Primary database modelDocument storeTime Series DBMS
Vector DBMS
Relational DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitegithub.com/­Softmotions/­ejdbkx.comspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.htmlyottadb.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcode.kx.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.htmlyottadb.com/­resources/­documentation
DeveloperSoftmotionsKx Systems, a division of First Derivatives plcApache Software FoundationTransaction Software GmbHYottaDB, LLC
Initial release20122000 infokdb was released 2000, kdb+ in 2003201419872001
Current release3.6, May 20183.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoGPLv2commercial infofree 32-bit versionOpen Source infoApache 2.0commercial infofree development licenseOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCqScalaC and C++C
Server operating systemsserver-lessLinux
OS X
Solaris
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Docker
Linux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyesno
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.yesnonono
Secondary indexesnoyes infotable attribute 'grouped'noyesno
SQL infoSupport of SQLnoSQL-like query language (q)SQL-like DML and DDL statementsyesby using the Octo plugin
APIs and other access methodsin-process shared libraryHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnouser defined functionsnoyes
Triggersnoyes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoyesoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
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.yesnonoyes
User concepts infoAccess controlnorights management via user accountsnofine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms
More information provided by the system vendor
EJDBKdbSpark SQLTransbaseYottaDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
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More resources
EJDBKdbSpark SQLTransbaseYottaDB
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