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DBMS > AgensGraph vs. Amazon Aurora vs. Drizzle vs. HEAVY.AI vs. Ingres

System Properties Comparison AgensGraph vs. Amazon Aurora vs. Drizzle vs. HEAVY.AI vs. Ingres

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon Aurora  Xexclude from comparisonDrizzle  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIngres  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLMySQL and PostgreSQL compatible cloud service by AmazonMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareWell established RDBMS
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeSpatial 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
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Websitebitnine.net/­agensgraphaws.amazon.com/­rds/­auroragithub.com/­heavyai/­heavydb
www.heavy.ai
www.actian.com/­databases/­ingres
Technical documentationbitnine.net/­documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.heavy.aidocs.actian.com/­ingres
DeveloperBitnine Global Inc.AmazonDrizzle project, originally started by Brian AkerHEAVY.AI, Inc.Actian Corporation
Initial release20162015200820161974 infooriginally developed at University Berkely in early 1970s
Current release2.1, December 20187.2.4, September 20125.10, January 202211.2, May 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoGNU GPLOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++ and CUDAC
Server operating systemsLinux
OS X
Windows
hostedFreeBSD
Linux
OS X
LinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Data schemedepending on used data modelyesyesyesyes
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.noyesnono infobut tools for importing/exporting data from/to XML-files available
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesyesyes infowith proprietary extensionsyesyes
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
JDBC
ODBC
JDBCJDBC
ODBC
Thrift
Vega
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languagesC
Java
JavaScript
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Java
PHP
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesyesnonoyes
Triggersnoyesno infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioningShardingSharding infoRound robinhorizontal partitioning infoIngres Star to access multiple databases simultaneously
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replicationIngres Replicator
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC
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.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
AgensGraphAmazon AuroraDrizzleHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Ingres
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