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DBMS > AgensGraph vs. Apache Impala vs. OpenMLDB vs. PostgreSQL vs. Realm

System Properties Comparison AgensGraph vs. Apache Impala vs. OpenMLDB vs. PostgreSQL vs. Realm

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Impala  Xexclude from comparisonOpenMLDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAnalytic DBMS for HadoopAn open-source machine learning database that provides a feature platform for training and inferenceWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document store
Secondary database modelsDocument storeRelational DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitebitnine.net/­agensgraphimpala.apache.orgopenmldb.aiwww.postgresql.orgrealm.io
Technical documentationbitnine.net/­documentationimpala.apache.org/­impala-docs.htmlopenmldb.ai/­docs/­zh/­mainwww.postgresql.org/­docsrealm.io/­docs
DeveloperBitnine Global Inc.Apache Software Foundation infoApache top-level project, originally developed by Cloudera4 Paradigm Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerRealm, acquired by MongoDB in May 2019
Initial release2016201320201989 info1989: Postgres, 1996: PostgreSQL2014
Current release2.1, December 20184.1.0, June 20222024-2 February 202416.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2Open SourceOpen Source infoBSDOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++, Java, ScalaC
Server operating systemsLinux
OS X
Windows
LinuxLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Android
Backend: server-less
iOS
Windows
Data schemedepending on used data modelyesFixed schemayesyes
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.nononoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesyes infostandard with numerous extensionsno
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
JDBC
SQLAlchemy
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Java
JavaScript
Python
All languages supporting JDBC/ODBCC++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no inforuns within the applications so server-side scripts are unnecessary
Triggersnononoyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardinghorizontal partitioningpartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyesnoyes infoIn-Memory realm
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes

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More resources
AgensGraphApache ImpalaOpenMLDBPostgreSQLRealm
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