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DBMS > EJDB vs. GigaSpaces vs. HEAVY.AI vs. Postgres-XL

System Properties Comparison EJDB vs. GigaSpaces vs. HEAVY.AI vs. Postgres-XL

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbwww.gigaspaces.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.postgres-xl.org
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.gigaspaces.com/­latest/­landing.htmldocs.heavy.aiwww.postgres-xl.org/­documentation
DeveloperSoftmotionsGigaspaces TechnologiesHEAVY.AI, Inc.
Initial release2012200020162014 infosince 2012, originally named StormDB
Current release15.5, September 20205.10, January 202210 R1, October 2018
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, C++, .NetC++ and CUDAC
Server operating systemsserver-lessLinux
macOS
Solaris
Windows
LinuxLinux
macOS
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyes
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 infoXML can be used for describing objects metadatanoyes infoXML type, but no XML query functionality
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsyesyes infodistributed, parallel query execution
APIs and other access methodsin-process shared libraryGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Vega
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
.Net
C++
Java
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesnouser defined functions
Triggersnoyes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoRound robinhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
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.yesyesno
User concepts infoAccess controlnoRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
EJDBGigaSpacesHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Postgres-XL
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