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DBMS > Apache Druid vs. Lovefield vs. Manticore Search vs. Microsoft Azure AI Search

System Properties Comparison Apache Druid vs. Lovefield vs. Manticore Search vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonLovefield  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEmbeddable relational database for web apps written in pure JavaScriptMulti-storage database for search, including full-text search.Search-as-a-service for web and mobile app development
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSSearch engineSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score5.59
Rank#63  Overall
#7  Search engines
Websitedruid.apache.orggoogle.github.io/­lovefieldmanticoresearch.comazure.microsoft.com/­en-us/­services/­search
Technical documentationdruid.apache.org/­docs/­latest/­designgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmanual.manticoresearch.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software Foundation and contributorsGoogleManticore SoftwareMicrosoft
Initial release2012201420172015
Current release29.0.1, April 20242.1.12, February 20176.0, February 2023V1
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoGPL version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC++
Server operating systemsLinux
OS X
Unix
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
macOS
Windows
hosted
Data schemeyes infoschema-less columns are supportedyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nonoCan index from XMLno
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL for queryingSQL-like query language infovia JavaScript builder patternSQL-like query languageno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
JavaScriptElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonouser defined functionsno
TriggersnoUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDBno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnonoyes infousing Azure authentication

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More resources
Apache DruidLovefieldManticore SearchMicrosoft Azure AI Search
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