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DBMS > Microsoft Azure AI Search vs. SAP Adaptive Server vs. SingleStore

System Properties Comparison Microsoft Azure AI Search vs. SAP Adaptive Server vs. SingleStore

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelSearch engineRelational DBMSRelational DBMS
Secondary database modelsVector DBMSSpatial DBMS infowith Boeing's Spatial Query ServerDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.71
Rank#64  Overall
#8  Search engines
Score37.12
Rank#25  Overall
#17  Relational DBMS
Score5.91
Rank#61  Overall
#34  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchwww.sap.com/­products/­technology-platform/­sybase-ase.htmlwww.singlestore.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchhelp.sap.com/­docs/­SAP_ASEdocs.singlestore.com
DeveloperMicrosoftSAP, SybaseSingleStore Inc.
Initial release201519872013
Current releaseV116.08.5, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC and C++C++, Go
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Unix
Windows
Linux info64 bit version required
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyes infobut no triggers and foreign keys
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC#
Java
JavaScript
Python
C
C++
Cobol
Java
Java
Perl
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoJava and Transact-SQLyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
Source-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes infousing Azure authenticationfine grained access rights according to SQL-standardFine grained access control via users, groups and roles
More information provided by the system vendor
Microsoft Azure AI SearchSAP Adaptive Server infoformer name: Sybase ASESingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
Microsoft Azure AI SearchSAP Adaptive Server infoformer name: Sybase ASESingleStore infoformer name was MemSQL
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