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DBMS > AgensGraph vs. Faircom DB vs. HEAVY.AI vs. HyperSQL vs. Kinetica

System Properties Comparison AgensGraph vs. Faircom DB vs. HEAVY.AI vs. HyperSQL vs. Kinetica

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBFully vectorized database across both GPUs and CPUs
Primary database modelGraph DBMS
Relational DBMS
Key-value store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitebitnine.net/­agensgraphwww.faircom.com/­products/­faircom-dbgithub.com/­heavyai/­heavydb
www.heavy.ai
hsqldb.orgwww.kinetica.com
Technical documentationbitnine.net/­documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.heavy.aihsqldb.org/­web/­hsqlDocsFrame.htmldocs.kinetica.com
DeveloperBitnine Global Inc.FairCom CorporationHEAVY.AI, Inc.Kinetica
Initial release20161979201620012012
Current release2.1, December 2018V12, November 20205.10, January 20222.7.2, June 20237.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infoRestricted, free version availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infobased on BSD licensecommercial
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 languageCANSI C, C++C++ and CUDAJavaC, C++
Server operating systemsLinux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
LinuxAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
Data schemedepending on used data modelschema free, schema optional, schema required, partial schema,yesyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesyesyes
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.nonononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesyes, ANSI SQL with proprietary extensionsyesyesSQL-like DML and DDL statements
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
ODBC
Thrift
Vega
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
All languages supporting JDBC/ODBC
Java
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++noJava, SQLuser defined functions
Triggersnoyesnoyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infoRound robinnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardFine grained access rights according to SQL-standard with additional protections for filesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
AgensGraphFaircom DB infoformerly c-treeACEHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HyperSQL infoalso known as HSQLDBKinetica
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