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DBMS > Heroic vs. Hypertable vs. Manticore Search vs. Microsoft Azure AI Search vs. NSDb

System Properties Comparison Heroic vs. Hypertable vs. Manticore Search vs. Microsoft Azure AI Search vs. NSDb

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonHypertable  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNSDb  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn 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 developmentScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelTime Series DBMSWide column storeSearch engineSearch engineTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score5.75
Rank#58  Overall
#7  Search engines
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitegithub.com/­spotify/­heroicmanticoresearch.comazure.microsoft.com/­en-us/­services/­searchnsdb.io
Technical documentationspotify.github.io/­heroicmanual.manticoresearch.comlearn.microsoft.com/­en-us/­azure/­searchnsdb.io/­Architecture
DeveloperSpotifyHypertable Inc.Manticore SoftwareMicrosoft
Initial release20142009201720152017
Current release0.9.8.11, March 20166.0, February 2023V1
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoGPL version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++Java, Scala
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
FreeBSD
Linux
macOS
Windows
hostedLinux
macOS
Data schemeschema-freeschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyesnoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes: int, bigint, decimal, string
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 XMLnono
Secondary indexesyes infovia Elasticsearchrestricted infoonly exact value or prefix value scansyes infofull-text index on all search fieldsyesall fields are automatically indexed
SQL infoSupport of SQLnonoSQL-like query languagenoSQL-like query language
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
C++ API
Thrift
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIgRPC
HTTP REST
WebSocket
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
JavaScript
Python
Java
Scala
Server-side scripts infoStored proceduresnonouser defined functionsnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable 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 methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes infoisolated transactions for atomic changes and binary logging for safe writesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnonoyes infousing Azure authentication

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More resources
HeroicHypertableManticore SearchMicrosoft Azure AI SearchNSDb
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