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

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

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionAn embedded key-value store for Go.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsSearch-as-a-service for web and mobile app developmentA managed, cloud-native vector database
Primary database modelKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Search engineVector DBMS
Secondary database modelsGraph DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitegithub.com/­boltdb/­boltwww.gigaspaces.comazure.microsoft.com/­en-us/­services/­searchwww.pinecone.io
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmllearn.microsoft.com/­en-us/­azure/­searchdocs.pinecone.io/­docs/­overview
DeveloperGigaspaces TechnologiesMicrosoftPinecone Systems, Inc
Initial release2013200020152019
Current release15.5, September 2020V1
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2; Commercial licenses 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 languageGoJava, C++, .Net
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Solaris
Windows
hostedhosted
Data schemeschema-freeschema-freeyes
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.nono infoXML can be used for describing objects metadatanono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsnono
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIRESTful HTTP API
Supported programming languagesGo.Net
C++
Java
Python
Scala
C#
Java
JavaScript
Python
Python
Server-side scripts infoStored proceduresnoyesno
Triggersnoyes, event driven architectureno
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 nodesnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
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.noyesnono
User concepts infoAccess controlnoRole-based access controlyes infousing Azure authentication

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More resources
BoltDBGigaSpacesMicrosoft Azure AI SearchPinecone
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