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DBMS > Apache Phoenix vs. Atos Standard Common Repository vs. GreptimeDB vs. Postgres-XL

System Properties Comparison Apache Phoenix vs. Atos Standard Common Repository vs. GreptimeDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGreptimeDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseHighly 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 efficiencyBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSDocument store
Key-value store
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Websitephoenix.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygreptime.comwww.postgres-xl.org
Technical documentationphoenix.apache.orgdocs.greptime.comwww.postgres-xl.org/­documentation
DeveloperApache Software FoundationAtos Convergence CreatorsGreptime Inc.
Initial release2014201620222014 infosince 2012, originally named StormDB
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019170310 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaRustC
Server operating systemsLinux
Unix
Windows
LinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
macOS
Data schemeyes infolate-bound, schema-on-read capabilitiesSchema and schema-less with LDAP viewsschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.noyesnoyes infoXML type, but no XML query functionality
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoyesyes infodistributed, parallel query execution
APIs and other access methodsJDBCLDAPgRPC
HTTP API
JDBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages with LDAP bindingsC++
Erlang
Go
Java
JavaScript
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsnoPythonuser defined functions
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID infoMVCC
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 controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyLDAP bind authenticationSimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache PhoenixAtos Standard Common RepositoryGreptimeDBPostgres-XL
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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More resources
Apache PhoenixAtos Standard Common RepositoryGreptimeDBPostgres-XL
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