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DBMS > Badger vs. IBM Db2 Event Store vs. PostgreSQL vs. Ultipa

System Properties Comparison Badger vs. IBM Db2 Event Store vs. PostgreSQL vs. Ultipa

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPostgreSQL  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Distributed Event Store optimized for Internet of Things use casesWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelKey-value storeEvent 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.Graph 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
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websitegithub.com/­dgraph-io/­badgerwww.ibm.com/­products/­db2-event-storewww.postgresql.orgwww.ultipa.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.ibm.com/­docs/­en/­db2-event-storewww.postgresql.org/­docswww.ultipa.com/­document
DeveloperDGraph LabsIBMPostgreSQL Global Development Group infowww.postgresql.org/­developerUltipa
Initial release201720171989 info1989: Postgres, 1996: PostgreSQL2019
Current release2.016.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree developer edition availableOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++C
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux infoLinux, macOS, Windows for the developer additionFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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 indexesnonoyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeyes infostandard with numerous extensions
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languagesGoC
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
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive-active shard replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BadgerIBM Db2 Event StorePostgreSQLUltipa
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