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DBMS > Atos Standard Common Repository vs. GreptimeDB vs. InfinityDB vs. Rockset

System Properties Comparison Atos Standard Common Repository vs. GreptimeDB vs. InfinityDB vs. Rockset

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGreptimeDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonRockset  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 networksAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA Java embedded Key-Value Store which extends the Java Map interfaceA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument store
Key-value store
Time Series DBMSKey-value storeDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score0.00
Rank#383  Overall
#59  Key-value stores
Score1.07
Rank#180  Overall
#31  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygreptime.comboilerbay.comrockset.com
Technical documentationdocs.greptime.comboilerbay.com/­infinitydb/­manualdocs.rockset.com
DeveloperAtos Convergence CreatorsGreptime Inc.Boiler Bay Inc.Rockset
Initial release2016202220022019
Current release17034.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustJavaC++
Server operating systemsLinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VMhosted
Data schemeSchema and schema-less with LDAP viewsschema-free, schema definition possibleyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateoptionalyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysdynamic typing
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 infoingestion from XML files supported
Secondary indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilityall fields are automatically indexed
SQL infoSupport of SQLnoyesnoRead-only SQL queries, including JOINs
APIs and other access methodsLDAPgRPC
HTTP API
JDBC
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP REST
Supported programming languagesAll languages with LDAP bindingsC++
Erlang
Go
Java
JavaScript
JavaGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoPythonnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes
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 ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID infoOptimistic locking for transactions; no isolation for bulk loadsno
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.yesno
User concepts infoAccess controlLDAP bind authenticationSimple rights management via user accountsnoAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
Atos Standard Common RepositoryGreptimeDBInfinityDBRockset
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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Atos Standard Common RepositoryGreptimeDBInfinityDBRockset
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