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DBMS > AgensGraph vs. Apache Impala vs. PostgreSQL vs. Realm vs. SQream DB

System Properties Comparison AgensGraph vs. Apache Impala vs. PostgreSQL vs. Realm vs. SQream DB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Impala  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRealm  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAnalytic DBMS for HadoopWidely 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 Dataa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document storeRelational DBMS
Secondary database modelsDocument storeDocument 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
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitebitnine.net/­agensgraphimpala.apache.orgwww.postgresql.orgrealm.iosqream.com
Technical documentationbitnine.net/­documentationimpala.apache.org/­impala-docs.htmlwww.postgresql.org/­docsrealm.io/­docsdocs.sqream.com
DeveloperBitnine Global Inc.Apache Software Foundation infoApache top-level project, originally developed by ClouderaPostgreSQL Global Development Group infowww.postgresql.org/­developerRealm, acquired by MongoDB in May 2019SQream Technologies
Initial release201620131989 info1989: Postgres, 1996: PostgreSQL20142017
Current release2.1, December 20184.1.0, June 202216.3, May 20242022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2Open Source infoBSDOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++CC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Windows
LinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Android
Backend: server-less
iOS
Windows
Linux
Data schemedepending on used data modelyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes, ANSI Standard SQL Types
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infostandard with numerous extensionsnoyes
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.Net
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
All languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceuser 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 unnecessaryuser defined functions in Python
Triggersnonoyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingpartitioning by range, list and (since PostgreSQL 11) by hashnonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorSource-replica replication infoother methods possible by using 3rd party extensionsnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
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.nononoyes 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-standardyes

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More resources
AgensGraphApache ImpalaPostgreSQLRealmSQream DB
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