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DBMS > Badger vs. Microsoft Azure AI Search vs. SingleStore vs. TempoIQ

System Properties Comparison Badger vs. Microsoft Azure AI Search vs. SingleStore vs. TempoIQ

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Search-as-a-service for web and mobile app developmentMySQL 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 typeScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelKey-value storeSearch engineRelational DBMSTime Series DBMS
Secondary database modelsVector DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Score5.38
Rank#62  Overall
#35  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerazure.microsoft.com/­en-us/­services/­searchwww.singlestore.comtempoiq.com (offline)
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerlearn.microsoft.com/­en-us/­azure/­searchdocs.singlestore.com
DeveloperDGraph LabsMicrosoftSingleStore Inc.TempoIQ
Initial release2017201520132012
Current releaseV18.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
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 languageGoC++, Go
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux info64 bit version required
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesyes
SQL infoSupport of SQLnonoyes infobut no triggers and foreign keysno
APIs and other access methodsRESTful HTTP APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
HTTP API
Supported programming languagesGoC#
Java
JavaScript
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnonoyesno
Triggersnononoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceSource-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 calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlnoyes infousing Azure authenticationFine grained access control via users, groups and rolessimple authentication-based access control
More information provided by the system vendor
BadgerMicrosoft Azure AI SearchSingleStore infoformer name was MemSQLTempoIQ infoformerly TempoDB
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
BadgerMicrosoft Azure AI SearchSingleStore infoformer name was MemSQLTempoIQ infoformerly TempoDB
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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