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DBMS > Databricks vs. GeoMesa vs. OpenMLDB vs. PostGIS

System Properties Comparison Databricks vs. GeoMesa vs. OpenMLDB vs. PostGIS

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGeoMesa  Xexclude from comparisonOpenMLDB  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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.An open-source machine learning database that provides a feature platform for training and inferenceSpatial extension of PostgreSQL
Primary database modelDocument store
Relational DBMS
Spatial DBMSTime Series DBMSSpatial DBMS
Secondary database modelsRelational DBMSRelational 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
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitewww.databricks.comwww.geomesa.orgopenmldb.aipostgis.net
Technical documentationdocs.databricks.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlopenmldb.ai/­docs/­zh/­mainpostgis.net/­documentation
DeveloperDatabricksCCRi and others4 Paradigm Inc.
Initial release2013201420202005
Current release4.0.5, February 20242024-2 February 20243.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open SourceOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++, Java, ScalaC
Server operating systemshostedLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesFixed schemayes
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.yesnonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
SQLAlchemy
Supported programming languagesPython
R
Scala
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonouser defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerhorizontal partitioningyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerSource-replica replicationyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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.nodepending on storage layeryesno
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardyes infobased on PostgreSQL
More information provided by the system vendor
DatabricksGeoMesaOpenMLDBPostGIS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGeoMesaOpenMLDBPostGIS
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