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DBMS > Databricks vs. Geode vs. PostGIS

System Properties Comparison Databricks vs. Geode vs. PostGIS

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGeode  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.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesSpatial extension of PostgreSQL
Primary database modelDocument store
Relational DBMS
Key-value storeSpatial 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
Score1.92
Rank#131  Overall
#23  Key-value stores
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitewww.databricks.comgeode.apache.orgpostgis.net
Technical documentationdocs.databricks.comgeode.apache.org/­docspostgis.net/­documentation
DeveloperDatabricksOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.
Initial release201320022005
Current release1.1, February 20173.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also required
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
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.yesnoyes
Secondary indexesyesnoyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query language (OQL)yes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
Supported programming languagesPython
R
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsuser defined functions
Triggersyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACID
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.noyesno
User concepts infoAccess controlAccess rights per client and object definableyes infobased on PostgreSQL
More information provided by the system vendor
DatabricksGeodePostGIS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGeodePostGIS
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