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DBMS > Apache Phoenix vs. Bangdb vs. Microsoft Azure AI Search vs. SAP Adaptive Server

System Properties Comparison Apache Phoenix vs. Bangdb vs. Microsoft Azure AI Search vs. SAP Adaptive Server

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBangdb  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseConverged and high performance database for device data, events, time series, document and graphSearch-as-a-service for web and mobile app developmentThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Search engineRelational DBMS
Secondary database modelsSpatial DBMSVector DBMSSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score35.09
Rank#25  Overall
#17  Relational DBMS
Websitephoenix.apache.orgbangdb.comazure.microsoft.com/­en-us/­services/­searchwww.sap.com/­products/­technology-platform/­sybase-ase.html
Technical documentationphoenix.apache.orgdocs.bangdb.comlearn.microsoft.com/­en-us/­azure/­searchhelp.sap.com/­docs/­SAP_ASE
DeveloperApache Software FoundationSachin Sinha, BangDBMicrosoftSAP, Sybase
Initial release2014201220151987
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019BangDB 2.0, October 2021V116.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD 3commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C and C++
Server operating systemsLinux
Unix
Windows
LinuxhostedAIX
HP-UX
Linux
Solaris
Unix
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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.nononono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLyesSQL like support with command line toolnoyes
APIs and other access methodsJDBCProprietary protocol
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
Python
C#
Java
JavaScript
Python
C
C++
Cobol
Java
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnonoJava and Transact-SQL
Triggersnoyes, Notifications (with Streaming only)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor, Knob for CAP (enterprise version only)yes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modeno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes (enterprise version only)yes infousing Azure authenticationfine grained access rights according to SQL-standard

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Apache PhoenixBangdbMicrosoft Azure AI SearchSAP Adaptive Server infoformer name: Sybase ASE
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