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DBMS > Graph Engine vs. HEAVY.AI vs. JaguarDB vs. Spark SQL vs. Transwarp StellarDB

System Properties Comparison Graph Engine vs. HEAVY.AI vs. JaguarDB vs. Spark SQL vs. Transwarp StellarDB

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonJaguarDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwarePerformant, highly scalable DBMS for AI and IoT applicationsSpark SQL is a component on top of 'Spark Core' for structured data processingA distributed graph DBMS built for enterprise-level graph applications
Primary database modelGraph DBMS
Key-value store
Relational DBMSKey-value store
Vector DBMS
Relational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.00
Rank#383  Overall
#39  Graph DBMS
Websitewww.graphengine.iogithub.com/­heavyai/­heavydb
www.heavy.ai
www.jaguardb.comspark.apache.org/­sqlwww.transwarp.cn/­en/­product/­stellardb
Technical documentationwww.graphengine.io/­docs/­manualdocs.heavy.aiwww.jaguardb.com/­support.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMicrosoftHEAVY.AI, Inc.DataJaguar, Inc.Apache Software FoundationTranswarp
Initial release2010201620152014
Current release5.10, January 20223.3 July 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPL V3.0Open Source infoApache 2.0commercial
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 language.NET and CC++ and CUDAC++ infothe server part. Clients available in other languagesScala
Server operating systems.NETLinuxLinuxLinux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesnoyesno
SQL infoSupport of SQLnoyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
Vega
JDBC
ODBC
JDBC
ODBC
OpenCypher
Supported programming languagesC#
C++
F#
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoRound robinShardingyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsnoyes

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More resources
Graph Engine infoformer name: TrinityHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022JaguarDBSpark SQLTranswarp StellarDB
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