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DBMS > GreptimeDB vs. IBM Db2 Event Store vs. Kdb vs. searchxml

System Properties Comparison GreptimeDB vs. IBM Db2 Event Store vs. Kdb vs. searchxml

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKdb  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyDistributed 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 modelTime Series 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
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websitegreptime.comwww.ibm.com/­products/­db2-event-storekx.comwww.searchxml.net/­category/­products
Technical documentationdocs.greptime.comwww.ibm.com/­docs/­en/­db2-event-storecode.kx.comwww.searchxml.net/­support/­handouts
DeveloperGreptime Inc.IBMKx Systems, a division of First Derivatives plcinformationpartners gmbh
Initial release202220172000 infokdb was released 2000, kdb+ in 20032015
Current release2.03.6, 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC and C++qC++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
OS X
Solaris
Windows
Windows
Data schemeschema-free, schema definition possibleyesyesschema-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 methodsgRPC
HTTP API
JDBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C
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 proceduresPythonyesuser defined functionsyes infoon the application server
Triggersnoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-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 integritynoyesno
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.yesyesno
User concepts infoAccess controlSimple rights management via user accountsfine 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
GreptimeDBIBM Db2 Event StoreKdbsearchxml
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Integrated columnar database & programming system for streaming, real time and historical...
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Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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provides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
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tick database streaming sensor data massive intelligence applications oil and gas...
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Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
upon request
» more

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GreptimeDBIBM Db2 Event StoreKdbsearchxml
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