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DBMS > Brytlyt vs. GreptimeDB vs. HBase vs. Kdb

System Properties Comparison Brytlyt vs. GreptimeDB vs. HBase vs. Kdb

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHBase  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLAn open source Time Series DBMS built for increased scalability, high performance and efficiencyWide-column store based on Apache Hadoop and on concepts of BigTableHigh performance Time Series DBMS
Primary database modelRelational DBMSTime Series DBMSWide column storeTime Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websitebrytlyt.iogreptime.comhbase.apache.orgkx.com
Technical documentationdocs.brytlyt.iodocs.greptime.comhbase.apache.org/­book.htmlcode.kx.com
DeveloperBrytlytGreptime Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetKx Systems, a division of First Derivatives plc
Initial release2016202220082000 infokdb was released 2000, kdb+ in 2003
Current release5.0, August 20232.3.4, January 20213.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache version 2commercial infofree 32-bit version
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 languageC, C++ and CUDARustJavaq
Server operating systemsLinux
OS X
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
Data schemeyesschema-free, schema definition possibleschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes
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.yes infospecific XML-type available, but no XML query functionality.nonoyes
Secondary indexesyesyesnoyes infotable attribute 'grouped'
SQL infoSupport of SQLyesyesnoSQL-like query language (q)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
HTTP API
JDBC
Java API
RESTful HTTP API
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Erlang
Go
Java
JavaScript
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLPythonyes infoCoprocessors in Javauser defined functions
Triggersyesyesyes infowith views
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)no
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 controlfine grained access rights according to SQL-standardSimple rights management via user accountsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACrights management via user accounts
More information provided by the system vendor
BrytlytGreptimeDBHBaseKdb
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...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
tick database streaming sensor data massive intelligence applications oil and gas...
» more
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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More resources
BrytlytGreptimeDBHBaseKdb
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