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DBMS > Brytlyt vs. ClickHouse vs. GridDB

System Properties Comparison Brytlyt vs. ClickHouse vs. GridDB

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonClickHouse  Xexclude from comparisonGridDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.Scalable in-memory time series database optimized for IoT and Big Data
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#297  Overall
#134  Relational DBMS
Score18.77
Rank#31  Overall
#19  Relational DBMS
Score2.00
Rank#114  Overall
#9  Time Series DBMS
Websitebrytlyt.ioclickhouse.comgriddb.net
Technical documentationdocs.brytlyt.ioclickhouse.com/­docsdocs.griddb.net
DeveloperBrytlytClickhouse Inc.Toshiba Corporation
Initial release201620162013
Current release5.0, August 2023v24.6.2.17-stable, July 20245.1, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC++C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
macOS
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestamp
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesClose to ANSI SQL (SQL/JSON + extensions)SQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyesno
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeskey based and customSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID at container level
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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-standardAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Access rights for users can be defined per database
More information provided by the system vendor
BrytlytClickHouseGridDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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BrytlytClickHouseGridDB
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