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DBMS > Apache Druid vs. Google Cloud Firestore vs. Microsoft Azure AI Search vs. RethinkDB vs. StarRocks

System Properties Comparison Apache Druid vs. Google Cloud Firestore vs. Microsoft Azure AI Search vs. RethinkDB vs. StarRocks

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRethinkDB  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Search-as-a-service for web and mobile app developmentDBMS for the Web with a mechanism to push updated query results to applications in realtime.An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMS
Time Series DBMS
Document storeSearch engineDocument storeRelational DBMS
Secondary database modelsVector DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score5.52
Rank#59  Overall
#6  Search engines
Score2.66
Rank#107  Overall
#20  Document stores
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitedruid.apache.orgfirebase.google.com/­products/­firestoreazure.microsoft.com/­en-us/­services/­searchrethinkdb.comwww.starrocks.io
Technical documentationdruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­firestorelearn.microsoft.com/­en-us/­azure/­searchrethinkdb.com/­docsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperApache Software Foundation and contributorsGoogleMicrosoftThe Linux Foundation infosince July 2017The Linux Foundation infosince Feb 2023
Initial release20122017201520092020
Current release29.0.1, April 2024V12.4.1, August 20202.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, Java
Server operating systemsLinux
OS X
Unix
hostedhostedLinux
OS X
Windows
Linux
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometryyes
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.nonononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL for queryingnononoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIJDBC
MySQL protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
Java
JavaScript
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsnouser defined functions
Triggersnoyes, with Cloud FunctionsnoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infoImplicit feature of the cloud serviceSharding inforange basedhorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replicationyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yes infousing Azure authenticationyes infousers and table-level permissionsRole based access control and fine grained access rights

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More resources
Apache DruidGoogle Cloud FirestoreMicrosoft Azure AI SearchRethinkDBStarRocks
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