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DBMS > Apache Doris vs. IBM Db2 Event Store vs. Kdb vs. searchxml

System Properties Comparison Apache Doris vs. IBM Db2 Event Store vs. Kdb vs. searchxml

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKdb  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolDistributed Event Store optimized for Internet of Things use casesHigh performance Time Series DBMSDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Time Series DBMS
Vector DBMS
Native XML DBMS
Search engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#235  Overall
#110  Relational DBMS
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Websitedoris.apache.org
github.com/­apache/­doris
www.ibm.com/­products/­db2-event-storekx.comwww.searchxml.net/­category/­products
Technical documentationgithub.com/­apache/­doris/­wikiwww.ibm.com/­docs/­en/­db2-event-storecode.kx.comwww.searchxml.net/­support/­handouts
DeveloperApache Software Foundation, originally contributed from BaiduIBMKx Systems, a division of First Derivatives plcinformationpartners gmbh
Initial release201720172000 infokdb was released 2000, kdb+ in 20032015
Current release1.2.2, February 20232.03.6, May 20181.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availablecommercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++qC++
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Solaris
Windows
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesyes
Secondary indexesyesnoyes infotable attribute 'grouped'yes
SQL infoSupport of SQLyesyes infothrough the embedded Spark runtimeSQL-like query language (q)no
APIs and other access methodsJDBC
MySQL client
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesJavaC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functionsyes infoon the application server
Triggersnonoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive-active shard replicationSource-replica replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardrights management via user accountsDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
Apache DorisIBM Db2 Event StoreKdbsearchxml
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Apache DorisIBM Db2 Event StoreKdbsearchxml
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