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DBMS > Badger vs. Databricks vs. PostGIS vs. WakandaDB

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

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatabricks  Xexclude from comparisonPostGIS  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.The 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.Spatial extension of PostgreSQLWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value storeDocument store
Relational DBMS
Spatial DBMSObject oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegithub.com/­dgraph-io/­badgerwww.databricks.compostgis.netwakanda.github.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.databricks.compostgis.net/­documentationwakanda.github.io/­doc
DeveloperDGraph LabsDatabricksWakanda SAS
Initial release2017201320052012
Current release3.4.2, February 20242.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL v2.0Open Source infoAGPLv3, extended commercial license available
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 languageGoCC++, JavaScript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or datenoyesyes
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.noyesyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLnowith Databricks SQLyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesGoPython
R
Scala
JavaScript
Server-side scripts infoStored proceduresnouser defined functions and aggregatesuser 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 nodesnoneyesyes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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 controlnoyes infobased on PostgreSQLyes
More information provided by the system vendor
BadgerDatabricksPostGISWakandaDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BadgerDatabricksPostGISWakandaDB
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