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DBMS > Apache Pinot vs. Databricks vs. FileMaker vs. PostGIS

System Properties Comparison Apache Pinot vs. Databricks vs. FileMaker vs. PostGIS

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDatabricks  Xexclude from comparisonFileMaker  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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Spatial extension of PostgreSQL
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitepinot.apache.orgwww.databricks.comwww.claris.com/­filemakerpostgis.net
Technical documentationdocs.pinot.apache.orgdocs.databricks.comwww.claris.com/­resources/­documentationpostgis.net/­documentation
DeveloperApache Software Foundation and contributorsDatabricksClaris infoa subsidiary of Apple
Initial release2015201319832005
Current release1.0.0, September 202319.4.1, November 20213.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsAll OS with a Java JDK11 or higherhostediOS infoclient part only
Linux
OS X
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyes
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 infoA http query request can return the data in XML formatyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languagewith Databricks SQLyes infovia pluginsyes
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
Supported programming languagesGo
Java
Python
Python
R
Scala
PHP
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesuser defined functions
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication, warm standby infosince Version 14yes 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 integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.nono
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesyes infobased on PostgreSQL
More information provided by the system vendor
Apache PinotDatabricksFileMakerPostGIS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache PinotDatabricksFileMakerPostGIS
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