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DBMS > EJDB vs. Hypertable vs. Kinetica vs. Postgres-XL vs. Realm

System Properties Comparison EJDB vs. Hypertable vs. Kinetica vs. Postgres-XL vs. Realm

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRealm  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)An open source BigTable implementation based on distributed file systems such as HadoopFully vectorized database across both GPUs and CPUsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument storeWide column storeRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websitegithub.com/­Softmotions/­ejdbwww.kinetica.comwww.postgres-xl.orgrealm.io
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.kinetica.comwww.postgres-xl.org/­documentationrealm.io/­docs
DeveloperSoftmotionsHypertable Inc.KineticaRealm, acquired by MongoDB in May 2019
Initial release2012200920122014 infosince 2012, originally named StormDB2014
Current release0.9.8.11, March 20167.1, August 202110 R1, October 2018
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoGNU version 3. Commercial license availablecommercialOpen Source infoMozilla public licenseOpen Source
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 languageCC++C, C++C
Server operating systemsserver-lessLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
macOS
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idnoyesyesyes
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesnorestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyes infodistributed, parallel query executionno
APIs and other access methodsin-process shared libraryC++ API
Thrift
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnonouser defined functionsuser defined functionsno inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor on file system levelSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID infoMVCCACID
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.yes infoGPU vRAM or System RAMnoyes infoIn-Memory realm
User concepts infoAccess controlnonoAccess rights for users and roles on table levelfine grained access rights according to SQL-standardyes

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More resources
EJDBHypertableKineticaPostgres-XLRealm
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