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DBMS > Badger vs. Databricks vs. HBase

System Properties Comparison Badger vs. Databricks vs. HBase

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatabricks  Xexclude from comparisonHBase  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.Wide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelKey-value storeDocument store
Relational DBMS
Wide column store
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
Score30.50
Rank#26  Overall
#2  Wide column stores
Websitegithub.com/­dgraph-io/­badgerwww.databricks.comhbase.apache.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.databricks.comhbase.apache.org/­book.html
DeveloperDGraph LabsDatabricksApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release201720132008
Current release2.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
Unix
Windows infousing Cygwin
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free, schema definition possible
Typing infopredefined data types such as float or datenooptions to bring your own types, AVRO
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.noyesno
Secondary indexesnoyesno
SQL infoSupport of SQLnowith Databricks SQLno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
Supported programming languagesGoPython
R
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes infoCoprocessors in Java
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDSingle row ACID (across millions of columns)
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.nonoyes
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC
More information provided by the system vendor
BadgerDatabricksHBase
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BadgerDatabricksHBase
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