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DBMS > Atos Standard Common Repository vs. BigchainDB vs. Ehcache vs. Heroic vs. IBM Db2 Event Store

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. Ehcache vs. Heroic vs. IBM Db2 Event Store

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonEhcache  Xexclude from comparisonHeroic  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 networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA widely adopted Java cache with tiered storage optionsTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDistributed Event Store optimized for Internet of Things use cases
Primary database modelDocument store
Key-value store
Document storeKey-value storeTime Series DBMSEvent Store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.ehcache.orggithub.com/­spotify/­heroicwww.ibm.com/­products/­db2-event-store
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.ehcache.org/­documentationspotify.github.io/­heroicwww.ibm.com/­docs/­en/­db2-event-store
DeveloperAtos Convergence CreatorsTerracotta Inc, owned by Software AGSpotifyIBM
Initial release20162016200920142017
Current release17033.10.0, March 20222.0
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonJavaJavaC and C++
Server operating systemsLinuxLinuxAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer addition
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalnoyesyesyes
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.yesnononono
Secondary indexesyesnoyes infovia Elasticsearchno
SQL infoSupport of SQLnonononoyes infothrough the embedded Spark runtime
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
JCacheHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
JavaC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresnononoyes
Triggersyesyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infoby using Terracotta ServerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes infoby using Terracotta ServeryesActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyes infosupports JTA and can work as an XA resourcenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes infousing a tiered cache-storage approachyesYes - 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.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationyesnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryBigchainDBEhcacheHeroicIBM Db2 Event Store
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