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DBMS > Atos Standard Common Repository vs. BigchainDB vs. Ehcache vs. Heroic vs. Teradata Aster

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. Ehcache vs. Heroic vs. Teradata Aster

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonEhcache  Xexclude from comparisonHeroic  Xexclude from comparisonTeradata Aster  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore 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 ElasticSearchPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Key-value store
Document storeKey-value storeTime Series DBMSRelational 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
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.ehcache.orggithub.com/­spotify/­heroic
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.ehcache.org/­documentationspotify.github.io/­heroic
DeveloperAtos Convergence CreatorsTerracotta Inc, owned by Software AGSpotifyTeradata
Initial release20162016200920142005
Current release17033.10.0, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonJavaJava
Server operating systemsLinuxLinuxAll OS with a Java VMLinux
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.yesnononoyes infoin Aster File Store
Secondary indexesyesnoyes infovia Elasticsearchyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
JCacheHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
JavaC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnononoR packages
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 Serveryesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
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
Immediate Consistency or Eventual Consistency depending on configuration
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 resourcenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlLDAP bind authenticationyesnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryBigchainDBEhcacheHeroicTeradata Aster
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