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DBMS > Badger vs. EJDB vs. IBM Db2 Event Store vs. Oracle Coherence vs. PostgreSQL

System Properties Comparison Badger vs. EJDB vs. IBM Db2 Event Store vs. Oracle Coherence vs. PostgreSQL

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEJDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOracle Coherence  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Distributed Event Store optimized for Internet of Things use casesOracles in-memory data grid solutionWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelKey-value storeDocument storeEvent 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.
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
Score0.31
Rank#296  Overall
#44  Document stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdbwww.ibm.com/­products/­db2-event-storewww.oracle.com/­java/­coherencewww.postgresql.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.ibm.com/­docs/­en/­db2-event-storedocs.oracle.com/­en/­middleware/­standalone/­coherencewww.postgresql.org/­docs
DeveloperDGraph LabsSoftmotionsIBMOraclePostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20172012201720071989 info1989: Postgres, 1996: PostgreSQL
Current release2.014.1, August 202316.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPLv2commercial infofree developer edition availablecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
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Implementation languageGoCC and C++JavaC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
server-lessLinux infoLinux, macOS, Windows for the developer additionAll OS with a Java VMFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyes infostring, integer, double, bool, date, object_idyesyesyes
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.
Secondary indexesnonononoyes
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimenoyes infostandard with numerous extensions
APIs and other access methodsin-process shared libraryADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JCache
JPA
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGoActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C++
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonoyesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnononoyes infoLive Eventsyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneActive-active shard replicationyes, with selectable consistency levelSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write LockingNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnonofine grained access rights according to SQL-standardauthentification to access the cache via certificates or http basic authenticationfine grained access rights according to SQL-standard

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More resources
BadgerEJDBIBM Db2 Event StoreOracle CoherencePostgreSQL
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