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DBMS > Databend vs. GridGain vs. Kdb vs. STSdb

System Properties Comparison Databend vs. GridGain vs. Kdb vs. STSdb

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGridGain  Xexclude from comparisonKdb  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityGridGain is an in-memory computing platform, built on Apache IgniteHigh performance Time Series DBMSKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMS
Vector DBMS
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.gridgain.comkx.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.databend.comwww.gridgain.com/­docs/­index.htmlcode.kx.com
DeveloperDatabend LabsGridGain Systems, Inc.Kx Systems, a division of First Derivatives plcSTS Soft SC
Initial release202120072000 infokdb was released 2000, kdb+ in 20032011
Current release1.0.59, April 2023GridGain 8.5.13.6, May 20184.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree 32-bit versionOpen Source infoGPLv2, commercial license available
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 languageRustJava, C++, .NetqC#
Server operating systemshosted
Linux
macOS
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)
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.noyesyes
Secondary indexesnoyesyes infotable attribute 'grouped'no
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLSQL-like query language (q)no
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
.NET Client API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)user defined functionsno
Triggersnoyes (cache interceptors and events)yes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
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.yesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesSecurity Hooks for custom implementationsrights management via user accountsno
More information provided by the system vendor
DatabendGridGainKdbSTSdb
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
DatabendGridGainKdbSTSdb
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