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DBMS > Atos Standard Common Repository vs. etcd vs. Geode vs. IBM Db2 Event Store

System Properties Comparison Atos Standard Common Repository vs. etcd vs. Geode vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonetcd  Xexclude from comparisonGeode  Xexclude from comparisonIBM Db2 Event Store  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 networksA distributed reliable key-value storeGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesDistributed Event Store optimized for Internet of Things use cases
Primary database modelDocument store
Key-value store
Key-value storeKey-value storeEvent Store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.64
Rank#54  Overall
#5  Key-value stores
Score1.99
Rank#133  Overall
#23  Key-value stores
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryetcd.io
github.com/­etcd-io/­etcd
geode.apache.orgwww.ibm.com/­products/­db2-event-store
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
geode.apache.org/­docswww.ibm.com/­docs/­en/­db2-event-store
DeveloperAtos Convergence CreatorsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.IBM
Initial release201620022017
Current release17033.4, August 20191.1, February 20172.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as Gemfirecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaC and C++
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux infoLinux, macOS, Windows for the developer addition
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalnoyesyes
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.yesnonono
Secondary indexesyesnonono
SQL infoSupport of SQLnonoSQL-like query language (OQL)yes infothrough the embedded Spark runtime
APIs and other access methodsLDAPgRPC
JSON over HTTP
Java Client API
Memcached protocol
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresnonouser defined functionsyes
Triggersyesyes, watching key changesyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replicationActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlLDAP bind authenticationnoAccess rights per client and object definablefine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryetcdGeodeIBM Db2 Event Store
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