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DBMS > Databricks vs. Pinecone vs. PostGIS

System Properties Comparison Databricks vs. Pinecone vs. PostGIS

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPinecone  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionThe 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.A managed, cloud-native vector databaseSpatial extension of PostgreSQL
Primary database modelDocument store
Relational DBMS
Vector DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitewww.databricks.comwww.pinecone.iopostgis.net
Technical documentationdocs.databricks.comdocs.pinecone.io/­docs/­overviewpostgis.net/­documentation
DeveloperDatabricksPinecone Systems, Inc
Initial release201320192005
Current release3.4.2, February 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostedhosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateString, Number, Booleanyes
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.yesnoyes
Secondary indexesyesyes
SQL infoSupport of SQLwith Databricks SQLnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesPython
R
Scala
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlyes infobased on PostgreSQL
More information provided by the system vendor
DatabricksPineconePostGIS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksPineconePostGIS
DB-Engines blog posts

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