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DBMS > Microsoft Azure AI Search vs. Microsoft Azure Cosmos DB vs. Sphinx vs. Tkrzw vs. YugabyteDB

System Properties Comparison Microsoft Azure AI Search vs. Microsoft Azure Cosmos DB vs. Sphinx vs. Tkrzw vs. YugabyteDB

Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSphinx  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentGlobally distributed, horizontally scalable, multi-model database serviceOpen source search engine for searching in data from different sources, e.g. relational databasesA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Search engineKey-value storeRelational DBMS
Secondary database modelsVector DBMSSpatial DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.52
Rank#59  Overall
#6  Search engines
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score5.95
Rank#55  Overall
#5  Search engines
Score0.07
Rank#372  Overall
#57  Key-value stores
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­cosmos-dbsphinxsearch.comdbmx.net/­tkrzwwww.yugabyte.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchlearn.microsoft.com/­azure/­cosmos-dbsphinxsearch.com/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperMicrosoftMicrosoftSphinx Technologies Inc.Mikio HirabayashiYugabyte Inc.
Initial release20152014200120202017
Current releaseV13.5.1, February 20230.9.3, August 20202.19, September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageC++C++C and C++
Server operating systemshostedhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Linux
OS X
Data schemeyesschema-freeyesschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyes infoJSON typesnonoyes
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 indexesyesyes infoAll properties auto-indexed by defaultyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (SphinxQL)noyes, PostgreSQL compatible
APIs and other access methodsRESTful HTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Proprietary protocolJDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC#
Java
JavaScript
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoJavaScriptnonoyes infosql, plpgsql, C
TriggersnoJavaScriptnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supportednoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infoImplicit feature of the cloud servicenonenoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionnoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing specific database classesno
User concepts infoAccess controlyes infousing Azure authenticationAccess rights can be defined down to the item levelnonoyes
More information provided by the system vendor
Microsoft Azure AI SearchMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSphinxTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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More resources
Microsoft Azure AI SearchMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSphinxTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYugabyteDB
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