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DBMS > Atos Standard Common Repository vs. BigchainDB vs. Ehcache vs. Google Cloud Datastore vs. Heroic

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. Ehcache vs. Google Cloud Datastore vs. Heroic

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonEhcache  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHeroic  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 optionsAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelDocument store
Key-value store
Document storeKey-value storeDocument storeTime 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
Score4.36
Rank#72  Overall
#12  Document stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.ehcache.orgcloud.google.com/­datastoregithub.com/­spotify/­heroic
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.ehcache.org/­documentationcloud.google.com/­datastore/­docsspotify.github.io/­heroic
DeveloperAtos Convergence CreatorsTerracotta Inc, owned by Software AGGoogleSpotify
Initial release20162016200920082014
Current release17033.10.0, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
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 VMhosted
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalnoyesyes, details hereyes
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 indexesyesnoyesyes infovia Elasticsearch
SQL infoSupport of SQLnononoSQL-like query language (GQL)no
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
JCachegRPC (using protocol buffers) API
RESTful HTTP/JSON API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
Java.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonousing Google App Engineno
Triggersyesyes infoCache Event ListenersCallbacks using the Google Apps Engineno
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 ServerMulti-source replication using Paxosyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable Consistency (Strong, Eventual, Weak)Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infovia ReferenceProperties or Ancestor pathsno
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 resourceACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
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 authenticationyesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Atos Standard Common RepositoryBigchainDBEhcacheGoogle Cloud DatastoreHeroic
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