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DBMS > Graph Engine vs. HarperDB vs. HEAVY.AI vs. JSqlDb

System Properties Comparison Graph Engine vs. HarperDB vs. HEAVY.AI vs. JSqlDb

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonHarperDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonJSqlDb  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareJavaScript Query Language Database, stores JavaScript objects and primitives
Primary database modelGraph DBMS
Key-value store
Document storeRelational DBMSDocument store
Object oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.60
Rank#244  Overall
#38  Document stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Websitewww.graphengine.iowww.harperdb.iogithub.com/­heavyai/­heavydb
www.heavy.ai
jsqldb.org (offline)
Technical documentationwww.graphengine.io/­docs/­manualdocs.harperdb.io/­docsdocs.heavy.ai
DeveloperMicrosoftHarperDBHEAVY.AI, Inc.Konrad von Backstrom
Initial release2010201720162018
Current release3.1, August 20215.10, January 20220.8, December 2018
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infofree community edition availableOpen Source infoApache Version 2; enterprise edition availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CNode.jsC++ and CUDA
Server operating systems.NETLinux
OS X
LinuxLinux
macOS
Windows
Data schemeyesdynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesno
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 indexesyesnono
SQL infoSupport of SQLnoSQL-like data manipulation statementsyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Thrift
Vega
Supported programming languagesC#
C++
F#
Visual Basic
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
All languages supporting JDBC/ODBC/Thrift
Python
JavaScript
Server-side scripts infoStored proceduresyesCustom Functions infosince release 3.1nofunctions in JavaScript
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningA table resides as a whole on one (or more) nodes in a clusterSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedMulti-source replicationnone
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 integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 storageyes, using LMDByesyes infousing RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Graph Engine infoformer name: TrinityHarperDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022JSqlDb
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Trinity
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