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

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

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Editorial information provided by DB-Engines
NameEJDB  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)A 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 storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#302  Overall
#44  Document stores
Score2.30
Rank#127  Overall
#60  Relational DBMS
Score0.56
Rank#253  Overall
#115  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbgithub.com/­heavyai/­heavydb
www.heavy.ai
www.postgres-xl.org
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.heavy.aiwww.postgres-xl.org/­documentation
DeveloperSoftmotionsHEAVY.AI, Inc.
Initial release201220162014 infosince 2012, originally named StormDB
Current release5.10, January 202210 R1, October 2018
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache Version 2; enterprise edition availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++ and CUDAC
Server operating systemsserver-lessLinuxLinux
macOS
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyes
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 functionality
Secondary indexesnonoyes
SQL infoSupport of SQLnoyesyes infodistributed, parallel query execution
APIs and other access methodsin-process shared libraryJDBC
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
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonouser defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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