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DBMS > Atos Standard Common Repository vs. EDB Postgres vs. IBM Db2 Event Store vs. TypeDB

System Properties Comparison Atos Standard Common Repository vs. EDB Postgres vs. IBM Db2 Event Store vs. TypeDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonEDB Postgres  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Distributed Event Store optimized for Internet of Things use casesTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelDocument store
Key-value store
Relational DBMSEvent Store
Time Series DBMS
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.enterprisedb.comwww.ibm.com/­products/­db2-event-storetypedb.com
Technical documentationwww.enterprisedb.com/­docswww.ibm.com/­docs/­en/­db2-event-storetypedb.com/­docs
DeveloperAtos Convergence CreatorsEnterpriseDBIBMVaticle
Initial release2016200520172016
Current release170314, December 20212.02.26.3, January 2024
License infoCommercial or Open Sourcecommercialcommercial infoBSD for PostgreSQL-componentscommercial infofree developer edition availableOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC and C++Java
Server operating systemsLinuxLinux
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyes infostandard with numerous extensionsyes infothrough the embedded Spark runtimeno
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesno
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning infoby hash, list or rangeShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationActive-active shard replicationMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)No - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - 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.yesnoyesno
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Atos Standard Common RepositoryEDB PostgresIBM Db2 Event StoreTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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Atos Standard Common RepositoryEDB PostgresIBM Db2 Event StoreTypeDB infoformerly named Grakn
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