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DBMS > BoltDB vs. MarkLogic vs. Microsoft Azure AI Search vs. Pinecone

System Properties Comparison BoltDB vs. MarkLogic vs. Microsoft Azure AI Search vs. Pinecone

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Operational and transactional Enterprise NoSQL databaseSearch-as-a-service for web and mobile app developmentA managed, cloud-native vector database
Primary database modelKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engineVector DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score5.59
Rank#63  Overall
#7  Search engines
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitegithub.com/­boltdb/­boltwww.marklogic.comazure.microsoft.com/­en-us/­services/­searchwww.pinecone.io
Technical documentationdocs.marklogic.comlearn.microsoft.com/­en-us/­azure/­searchdocs.pinecone.io/­docs/­overview
DeveloperMarkLogic Corp.MicrosoftPinecone Systems, Inc
Initial release2013200120152019
Current release11.0, December 2022V1
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial inforestricted free version is availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
hostedhosted
Data schemeschema-freeschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or datenoyesyesString, Number, Boolean
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.noyesnono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infoSQL92nono
APIs and other access methodsJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP APIRESTful HTTP API
Supported programming languagesGoC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
Python
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesnono
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsyes infousing Azure authentication

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More resources
BoltDBMarkLogicMicrosoft Azure AI SearchPinecone
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