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DBMS > Brytlyt vs. EJDB vs. Prometheus vs. Sequoiadb vs. Spark SQL

System Properties Comparison Brytlyt vs. EJDB vs. Prometheus vs. Sequoiadb vs. Spark SQL

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonEJDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Open-source Time Series DBMS and monitoring systemNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument storeTime Series DBMSDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitebrytlyt.iogithub.com/­Softmotions/­ejdbprometheus.iowww.sequoiadb.comspark.apache.org/­sql
Technical documentationdocs.brytlyt.iogithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdprometheus.io/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBrytlytSoftmotionsSequoiadb Ltd.Apache Software Foundation
Initial release20162012201520132014
Current release5.0, August 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoApache 2.0Open Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDACGoC++Scala
Server operating systemsLinux
OS X
Windows
server-lessLinux
Windows
LinuxLinux
OS X
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idNumeric data onlyyes infooid, date, timestamp, binary, regexyes
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.no infoImport of XML data possiblenono
Secondary indexesyesnonoyesno
SQL infoSupport of SQLyesnonoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
in-process shared libraryRESTful HTTP/JSON APIproprietary protocol using JSONJDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnonoJavaScriptno
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes infoby FederationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardnonosimple password-based access controlno

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More resources
BrytlytEJDBPrometheusSequoiadbSpark SQL
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