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DBMS > Bangdb vs. Manticore Search vs. Microsoft Azure AI Search vs. Yaacomo

System Properties Comparison Bangdb vs. Manticore Search vs. Microsoft Azure AI Search vs. Yaacomo

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionConverged and high performance database for device data, events, time series, document and graphMulti-storage database for search, including full-text search.Search-as-a-service for web and mobile app developmentOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Search engineSearch engineRelational DBMS
Secondary database modelsSpatial DBMSTime Series DBMS infousing the Manticore Columnar LibraryVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score5.52
Rank#59  Overall
#6  Search engines
Websitebangdb.commanticoresearch.comazure.microsoft.com/­en-us/­services/­searchyaacomo.com
Technical documentationdocs.bangdb.commanual.manticoresearch.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperSachin Sinha, BangDBManticore SoftwareMicrosoftQ2WEB GmbH
Initial release2012201720152009
Current releaseBangDB 2.0, October 20216.0, February 2023V1
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoGPL version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++
Server operating systemsLinuxFreeBSD
Linux
macOS
Windows
hostedAndroid
Linux
Windows
Data schemeschema-freeFixed schemayesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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 infosecondary, composite, nested, reverse, geospatialyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL like support with command line toolSQL-like query languagenoyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersyes, Notifications (with Streaming only)nonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Synchronous replication based on Galera libraryyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesnoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenoyes
User concepts infoAccess controlyes (enterprise version only)noyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
BangdbManticore SearchMicrosoft Azure AI SearchYaacomo
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