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DBMS > Bangdb vs. BoltDB vs. Elasticsearch vs. Microsoft Azure AI Search

System Properties Comparison Bangdb vs. BoltDB vs. Elasticsearch vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBoltDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphAn embedded key-value store for Go.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricSearch-as-a-service for web and mobile app development
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeSearch engineSearch engine
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Vector DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score135.35
Rank#7  Overall
#1  Search engines
Score5.59
Rank#63  Overall
#7  Search engines
Websitebangdb.comgithub.com/­boltdb/­boltwww.elastic.co/­elasticsearchazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.bangdb.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmllearn.microsoft.com/­en-us/­azure/­search
DeveloperSachin Sinha, BangDBElasticMicrosoft
Initial release2012201320102015
Current releaseBangDB 2.0, October 20218.6, January 2023V1
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoMIT LicenseOpen Source infoElastic Licensecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++GoJava
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMhosted
Data schemeschema-freeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesyes
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.nononono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL like support with command line toolnoSQL-like query languageno
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
Go.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersyes, Notifications (with Streaming only)noyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)noneyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglynoneEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnono
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
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 modenoMemcached and Redis integrationno
User concepts infoAccess controlyes (enterprise version only)noyes infousing Azure authentication

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More resources
BangdbBoltDBElasticsearchMicrosoft Azure AI Search
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