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DBMS > AgensGraph vs. HEAVY.AI vs. Ingres vs. Kinetica vs. Sqrrl

System Properties Comparison AgensGraph vs. HEAVY.AI vs. Ingres vs. Kinetica vs. Sqrrl

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIngres  Xexclude from comparisonKinetica  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareWell established RDBMSFully vectorized database across both GPUs and CPUsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitebitnine.net/­agensgraphgithub.com/­heavyai/­heavydb
www.heavy.ai
www.actian.com/­databases/­ingreswww.kinetica.comsqrrl.com
Technical documentationbitnine.net/­documentationdocs.heavy.aidocs.actian.com/­ingresdocs.kinetica.com
DeveloperBitnine Global Inc.HEAVY.AI, Inc.Actian CorporationKineticaAmazon infooriginally Sqrrl Data, Inc.
Initial release201620161974 infooriginally developed at University Berkely in early 1970s20122012
Current release2.1, December 20185.10, January 202211.2, May 20227.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; enterprise edition availablecommercialcommercialcommercial
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 languageCC++ and CUDACC, C++Java
Server operating systemsLinux
OS X
Windows
LinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxLinux
Data schemedepending on used data modelyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesyesyesSQL-like DML and DDL statementsno
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
Thrift
Vega
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
Java
JavaScript
Python
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesnoyesuser defined functionsno
Triggersnonoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoRound robinhorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationIngres ReplicatorSource-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles on table levelCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
AgensGraphHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IngresKineticaSqrrl
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