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DBMS > Apache Phoenix vs. Atos Standard Common Repository vs. Kdb vs. MaxDB vs. Microsoft Azure AI Search

System Properties Comparison Apache Phoenix vs. Atos Standard Common Repository vs. Kdb vs. MaxDB vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonKdb  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMicrosoft Azure AI Search  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 networksHigh performance Time Series DBMSA robust and reliable RDBMS optimized to run all major SAP solutionsSearch-as-a-service for web and mobile app development
Primary database modelRelational DBMSDocument store
Key-value store
Time Series DBMS
Vector DBMS
Relational DBMSSearch engine
Secondary database modelsRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score2.15
Rank#115  Overall
#55  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Websitephoenix.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorykx.commaxdb.sap.comazure.microsoft.com/­en-us/­services/­search
Technical documentationphoenix.apache.orgcode.kx.commaxdb.sap.com/­documentationlearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software FoundationAtos Convergence CreatorsKx Systems, a division of First Derivatives plcSAP, acquired from Software AG (Adabas-D) in 1997Microsoft
Initial release201420162000 infokdb was released 2000, kdb+ in 200319842015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201917033.6, May 20187.9.10.12, February 2024V1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree 32-bit versioncommercial infoLimited community edition freecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaqC++
Server operating systemsLinux
Unix
Windows
LinuxLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
hosted
Data schemeyes infolate-bound, schema-on-read capabilitiesSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesyesnono
Secondary indexesyesyesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLyesnoSQL-like query language (q)yesno
APIs and other access methodsJDBCLDAPHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
WebDAV
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages with LDAP bindingsC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C#
Java
Perl
PHP
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsyesno
Triggersnoyesyes infowith viewsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionhorizontal partitioningnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replicationSource-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyLDAP bind authenticationrights management via user accountsfine grained access rights according to SQL-standardyes infousing Azure authentication
More information provided by the system vendor
Apache PhoenixAtos Standard Common RepositoryKdbMaxDB infoformerly named Adabas-DMicrosoft Azure AI Search
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Apache PhoenixAtos Standard Common RepositoryKdbMaxDB infoformerly named Adabas-DMicrosoft Azure AI Search
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