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DBMS > Databricks vs. openGauss vs. PostGIS vs. Prometheus

System Properties Comparison Databricks vs. openGauss vs. PostGIS vs. Prometheus

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonopenGauss  Xexclude from comparisonPostGIS  Xexclude from comparisonPrometheus  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.An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiSpatial extension of PostgreSQLOpen-source Time Series DBMS and monitoring system
Primary database modelDocument store
Relational DBMS
Relational DBMSSpatial DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitewww.databricks.comgitee.com/­opengauss
opengauss.org
postgis.netprometheus.io
Technical documentationdocs.databricks.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
postgis.net/­documentationprometheus.io/­docs
DeveloperDatabricksHuawei and openGauss community
Initial release2013201920052015
Current release3.0, March 20223.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGPL v2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaCGo
Server operating systemshostedLinuxLinux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data only
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.yesnoyesno infoImport of XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLANSI SQL 2011yesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
C
C++
Java
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesuser defined functionsno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash)yes infobased on PostgreSQLSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infobased on PostgreSQLyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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 controlAccess rights for users, groups and roles according to SQL-standardyes infobased on PostgreSQLno
More information provided by the system vendor
DatabricksopenGaussPostGISPrometheus
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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