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DBMS > Atos Standard Common Repository vs. EXASOL vs. GreptimeDB vs. Microsoft Azure AI Search

System Properties Comparison Atos Standard Common Repository vs. EXASOL vs. GreptimeDB vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonEXASOL  Xexclude from comparisonGreptimeDB  Xexclude from comparisonMicrosoft Azure AI Search  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 networksHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.An open source Time Series DBMS built for increased scalability, high performance and efficiencySearch-as-a-service for web and mobile app development
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.exasol.comgreptime.comazure.microsoft.com/­en-us/­services/­search
Technical documentationwww.exasol.com/­resourcesdocs.greptime.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperAtos Convergence CreatorsExasolGreptime Inc.Microsoft
Initial release2016200020222015
Current release1703V1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
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 languageJavaRust
Server operating systemsLinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
hosted
Data schemeSchema and schema-less with LDAP viewsyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateoptionalyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsLDAP.Net
JDBC
ODBC
WebSocket
gRPC
HTTP API
JDBC
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsJava
Lua
Python
R
C++
Erlang
Go
Java
JavaScript
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnouser defined functionsPythonno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDno
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.yesyesno
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and roles according to SQL-standardSimple rights management via user accountsyes infousing Azure authentication
More information provided by the system vendor
Atos Standard Common RepositoryEXASOLGreptimeDBMicrosoft Azure AI Search
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 RepositoryEXASOLGreptimeDBMicrosoft Azure AI Search
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