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DBMS > Databricks vs. Graphite vs. PostGIS vs. WakandaDB

System Properties Comparison Databricks vs. Graphite vs. PostGIS vs. WakandaDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGraphite  Xexclude from comparisonPostGIS  Xexclude from comparisonWakandaDB  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.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperSpatial extension of PostgreSQLWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Relational DBMS
Time Series DBMSSpatial DBMSObject oriented 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
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.databricks.comgithub.com/­graphite-project/­graphite-webpostgis.netwakanda.github.io
Technical documentationdocs.databricks.comgraphite.readthedocs.iopostgis.net/­documentationwakanda.github.io/­doc
DeveloperDatabricksChris DavisWakanda SAS
Initial release2013200620052012
Current release3.4.2, February 20242.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL v2.0Open Source infoAGPLv3, extended commercial license available
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 languagePythonCC++, JavaScript
Server operating systemshostedLinux
Unix
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateNumeric data onlyyesyes
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
Secondary indexesyesnoyes
SQL infoSupport of SQLwith Databricks SQLnoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API
Sockets
RESTful HTTP API
Supported programming languagesPython
R
Scala
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesnouser defined functionsyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes infobased on PostgreSQLnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
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.nonono
User concepts infoAccess controlnoyes infobased on PostgreSQLyes
More information provided by the system vendor
DatabricksGraphitePostGISWakandaDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGraphitePostGISWakandaDB
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