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

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

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDatabricks  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionAn embedded key-value store for Go.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Search-as-a-service for web and mobile app developmentA managed, cloud-native vector database
Primary database modelKey-value storeDocument store
Relational DBMS
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
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitegithub.com/­boltdb/­boltwww.databricks.comazure.microsoft.com/­en-us/­services/­searchwww.pinecone.io
Technical documentationdocs.databricks.comlearn.microsoft.com/­en-us/­azure/­searchdocs.pinecone.io/­docs/­overview
DeveloperDatabricksMicrosoftPinecone Systems, Inc
Initial release2013201320152019
Current releaseV1
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedhostedhosted
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or datenoyesString, 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 SQLnowith Databricks SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIRESTful HTTP API
Supported programming languagesGoPython
R
Scala
C#
Java
JavaScript
Python
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding 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 methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
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.nononono
User concepts infoAccess controlnoyes infousing Azure authentication
More information provided by the system vendor
BoltDBDatabricksMicrosoft Azure AI SearchPinecone
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BoltDBDatabricksMicrosoft Azure AI SearchPinecone
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