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DBMS > Apache Doris vs. Databricks vs. IBM Db2 Event Store

System Properties Comparison Apache Doris vs. Databricks vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDatabricks  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolThe 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.Distributed Event Store optimized for Internet of Things use cases
Primary database modelRelational DBMSDocument store
Relational DBMS
Event Store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.50
Rank#255  Overall
#117  Relational DBMS
Score83.29
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.15
Rank#326  Overall
#3  Event Stores
#28  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.databricks.comwww.ibm.com/­products/­db2-event-store
Technical documentationgithub.com/­apache/­doris/­wikidocs.databricks.comwww.ibm.com/­docs/­en/­db2-event-store
DeveloperApache Software Foundation, originally contributed from BaiduDatabricksIBM
Initial release201720132017
Current release1.2.2, February 20232.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++
Server operating systemsLinuxhostedLinux infoLinux, macOS, Windows for the developer addition
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes
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.noyesno
Secondary indexesyesyesno
SQL infoSupport of SQLyeswith Databricks SQLyes infothrough the embedded Spark runtime
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaPython
R
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresuser defined functionsuser defined functions and aggregatesyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DorisDatabricksIBM Db2 Event Store
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache DorisDatabricksIBM Db2 Event Store
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