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DBMS > Brytlyt vs. Databend vs. Datomic vs. GridDB

System Properties Comparison Brytlyt vs. Databend vs. Datomic vs. GridDB

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonDatabend  Xexclude from comparisonDatomic  Xexclude from comparisonGridDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityScalable in-memory time series database optimized for IoT and Big Data
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#292  Overall
#132  Relational DBMS
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Websitebrytlyt.iogithub.com/­datafuselabs/­databend
www.databend.com
www.datomic.comgriddb.net
Technical documentationdocs.brytlyt.iodocs.databend.comdocs.datomic.comdocs.griddb.net
DeveloperBrytlytDatabend LabsCognitectToshiba Corporation
Initial release2016202120122013
Current release5.0, August 20231.0.59, April 20231.0.7180, July 20245.1, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infolimited edition freeOpen 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 servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDARustJava, ClojureC++
Server operating systemsLinux
OS X
Windows
hosted
Linux
macOS
All OS with a Java VMLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes 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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesyesnoSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
CLI Client
JDBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Rust
Clojure
Java
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoyes infoTransaction Functionsno
TriggersyesnoBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoConnector 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 ConsistencyImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID at container level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user rolesnoAccess rights for users can be defined per database

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More resources
BrytlytDatabendDatomicGridDB
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