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DBMS > AgensGraph vs. IBM Db2 Event Store vs. PostgreSQL vs. Snowflake

System Properties Comparison AgensGraph vs. IBM Db2 Event Store vs. PostgreSQL vs. Snowflake

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLDistributed Event Store optimized for Internet of Things use casesWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLCloud-based data warehousing service for structured and semi-structured data
Primary database modelGraph DBMS
Relational DBMS
Event Store
Time Series DBMS
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument 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
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websitebitnine.net/­agensgraphwww.ibm.com/­products/­db2-event-storewww.postgresql.orgwww.snowflake.com
Technical documentationbitnine.net/­documentationwww.ibm.com/­docs/­en/­db2-event-storewww.postgresql.org/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperBitnine Global Inc.IBMPostgreSQL Global Development Group infowww.postgresql.org/­developerSnowflake Computing Inc.
Initial release201620171989 info1989: Postgres, 1996: PostgreSQL2014
Current release2.1, December 20182.016.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree developer edition availableOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++C
Server operating systemsLinux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
hosted
Data schemedepending on used data modelyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes
Secondary indexesyesnoyes
SQL infoSupport of SQLyesyes infothrough the embedded Spark runtimeyes infostandard with numerous extensionsyes
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
CLI Client
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions
Triggersnonoyesno infosimilar concept for controling cloud resources
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 hashyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationActive-active shard replicationSource-replica replication infoother methods possible by using 3rd party extensionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
AgensGraphIBM Db2 Event StorePostgreSQLSnowflake
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