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DBMS > Atos Standard Common Repository vs. GeoSpock vs. Heroic vs. Immudb

System Properties Comparison Atos Standard Common Repository vs. GeoSpock vs. Heroic vs. Immudb

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGeoSpock  Xexclude from comparisonHeroic  Xexclude from comparisonImmudb  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksSpatial and temporal data processing engine for extreme data scaleTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSKey-value store
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.31
Rank#295  Overall
#42  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygeospock.comgithub.com/­spotify/­heroicgithub.com/­codenotary/­immudb
immudb.io
Technical documentationspotify.github.io/­heroicdocs.immudb.io
DeveloperAtos Convergence CreatorsGeoSpockSpotifyCodenotary
Initial release201620142020
Current release17032.0, September 20191.2.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, JavascriptJavaGo
Server operating systemsLinuxhostedBSD
Linux
macOS
Solaris
Windows
z/OS
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyesyes
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 indexesyestemporal, categoricalyes infovia Elasticsearchyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)noSQL-like syntax
APIs and other access methodsLDAPJDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
gRPC protocol
PostgreSQL wire protocol
Supported programming languagesAll languages with LDAP bindings.Net
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionAutomatic shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
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 Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per table

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More resources
Atos Standard Common RepositoryGeoSpockHeroicImmudb
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