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DBMS > Apache Doris vs. Badger vs. Databricks vs. SWC-DB

System Properties Comparison Apache Doris vs. Badger vs. Databricks vs. SWC-DB

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonBadger  Xexclude from comparisonDatabricks  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolAn 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.A high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSKey-value storeDocument store
Relational DBMS
Wide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitedoris.apache.org
github.com/­apache/­doris
github.com/­dgraph-io/­badgerwww.databricks.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationgithub.com/­apache/­doris/­wikigodoc.org/­github.com/­dgraph-io/­badgerdocs.databricks.com
DeveloperApache Software Foundation, originally contributed from BaiduDGraph LabsDatabricksAlex Kashirin
Initial release2017201720132020
Current release1.2.2, February 20230.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
hostedLinux
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesno
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.nonoyesno
Secondary indexesyesnoyes
SQL infoSupport of SQLyesnowith Databricks SQLSQL-like query language
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
RESTful HTTP API
Proprietary protocol
Thrift
Supported programming languagesJavaGoPython
R
Scala
C++
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions and aggregatesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes
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 integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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 controlfine grained access rights according to SQL-standardno
More information provided by the system vendor
Apache DorisBadgerDatabricksSWC-DB infoSuper Wide Column Database
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Apache DorisBadgerDatabricksSWC-DB infoSuper Wide Column Database
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