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

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

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHypertable  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn open source BigTable implementation based on distributed file systems such as HadoopMulti-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
Wide column storeSearch 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
Score0.22
Rank#312  Overall
#21  Search engines
Score5.59
Rank#63  Overall
#7  Search engines
Websitedruid.apache.orgmanticoresearch.comazure.microsoft.com/­en-us/­services/­search
Technical documentationdruid.apache.org/­docs/­latest/­designmanual.manticoresearch.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software Foundation and contributorsHypertable Inc.Manticore SoftwareMicrosoft
Initial release2012200920172015
Current release29.0.1, April 20240.9.8.11, March 20166.0, February 2023V1
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGNU version 3. Commercial license availableOpen 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 languageJavaC++C++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows infoan inofficial Windows port is available
FreeBSD
Linux
macOS
Windows
hosted
Data schemeyes infoschema-less columns are supportedschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyesnoInt, 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.noCan index from XMLno
Secondary indexesyesrestricted infoonly exact value or prefix value scansyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL for queryingnoSQL-like query languageno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
C++ API
Thrift
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
C++
Java
Perl
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding 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 enginesselectable replication factor on file system levelSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.nono
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 DruidHypertableManticore SearchMicrosoft Azure AI Search
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