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DBMS > BoltDB vs. EsgynDB vs. Microsoft Azure AI Search vs. NSDb vs. Weaviate

System Properties Comparison BoltDB vs. EsgynDB vs. Microsoft Azure AI Search vs. NSDb vs. Weaviate

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNSDb  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSearch-as-a-service for web and mobile app developmentScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value storeRelational DBMSSearch engineTime Series DBMSVector DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitegithub.com/­boltdb/­boltwww.esgyn.cnazure.microsoft.com/­en-us/­services/­searchnsdb.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchnsdb.io/­Architectureweaviate.io/­developers/­weaviate
DeveloperEsgynMicrosoftWeaviate B.V.
Initial release20132015201520172019
Current releaseV11.19, May 2023
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialcommercialOpen Source infoApache Version 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaJava, ScalaGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxhostedLinux
macOS
Data schemeschema-freeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenoyesyesyes: int, bigint, decimal, stringyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.nonononono
Secondary indexesnoyesyesall fields are automatically indexedyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesnoSQL-like query languageGraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIgRPC
HTTP REST
WebSocket
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGoAll languages supporting JDBC/ODBC/ADO.NetC#
Java
JavaScript
Python
Java
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes infousing Azure authenticationAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
BoltDBEsgynDBMicrosoft Azure AI SearchNSDbWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BoltDBEsgynDBMicrosoft Azure AI SearchNSDbWeaviate
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