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DBMS > Badger vs. Microsoft Azure AI Search vs. Riak TS vs. Sphinx

System Properties Comparison Badger vs. Microsoft Azure AI Search vs. Riak TS vs. Sphinx

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRiak TS  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Search-as-a-service for web and mobile app developmentRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeSearch engineTime Series DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegithub.com/­dgraph-io/­badgerazure.microsoft.com/­en-us/­services/­searchsphinxsearch.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerlearn.microsoft.com/­en-us/­azure/­searchwww.tiot.jp/­riak-docs/­riak/­ts/­latestsphinxsearch.com/­docs
DeveloperDGraph LabsMicrosoftOpen Source, formerly Basho TechnologiesSphinx Technologies Inc.
Initial release2017201520152001
Current releaseV13.0.0, September 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoErlangC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesnono
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 indexesnoyesrestrictedyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyes, limitedSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIHTTP API
Native Erlang Interface
Proprietary protocol
Supported programming languagesGoC#
Java
JavaScript
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoErlangno
Triggersnonoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoyes infousing Azure authenticationnono

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More resources
BadgerMicrosoft Azure AI SearchRiak TSSphinx
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