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DBMS > IBM Db2 Event Store vs. Immudb vs. PostgreSQL vs. Splice Machine

System Properties Comparison IBM Db2 Event Store vs. Immudb vs. PostgreSQL vs. Splice Machine

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonImmudb  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelEvent Store
Time Series DBMS
Key-value storeRelational 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 modelsRelational 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
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storegithub.com/­codenotary/­immudb
immudb.io
www.postgresql.orgsplicemachine.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.immudb.iowww.postgresql.org/­docssplicemachine.com/­how-it-works
DeveloperIBMCodenotaryPostgreSQL Global Development Group infowww.postgresql.org/­developerSplice Machine
Initial release201720201989 info1989: Postgres, 1996: PostgreSQL2014
Current release2.01.2.3, April 202216.3, May 20243.1, March 2021
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoApache Version 2.0Open Source infoBSDOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++GoCJava
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionBSD
Linux
macOS
Solaris
Windows
z/OS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeSQL-like syntaxyes infostandard with numerous extensionsyes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
gRPC protocol
PostgreSQL wire protocol
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoJava
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hashShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
IBM Db2 Event StoreImmudbPostgreSQLSplice Machine
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