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DBMS > Apache Pinot vs. Databricks vs. PostGIS

System Properties Comparison Apache Pinot vs. Databricks vs. PostGIS

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDatabricks  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyThe 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.Spatial extension of PostgreSQL
Primary database modelRelational DBMSDocument store
Relational DBMS
Spatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#262  Overall
#121  Relational DBMS
Score96.01
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Score19.96
Rank#29  Overall
#1  Spatial DBMS
Websitepinot.apache.orgwww.databricks.compostgis.net
Technical documentationdocs.pinot.apache.orgdocs.databricks.compostgis.net/­documentation
DeveloperApache Software Foundation and contributorsDatabricks
Initial release201520132005
Current release1.0.0, September 20233.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemsAll OS with a Java JDK11 or higherhosted
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyes
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.yesyes
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languagewith Databricks SQLyes
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
Python
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions
Triggersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes 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 methodsno
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 datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyes infobased on PostgreSQL

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More resources
Apache PinotDatabricksPostGIS
DB-Engines blog posts

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