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DBMS > Brytlyt vs. Greenplum vs. Prometheus vs. SWC-DB

System Properties Comparison Brytlyt vs. Greenplum vs. Prometheus vs. SWC-DB

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGreenplum  Xexclude from comparisonPrometheus  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Open-source Time Series DBMS and monitoring systemA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSRelational DBMSTime Series DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitebrytlyt.iogreenplum.orgprometheus.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.brytlyt.iodocs.greenplum.orgprometheus.io/­docs
DeveloperBrytlytPivotal Software Inc.Alex Kashirin
Initial release2016200520152020
Current release5.0, August 20237.0.0, September 20230.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAGoC++
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data only
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.yes infosince Version 4.2no infoImport of XML data possibleno
Secondary indexesyesyesno
SQL infoSupport of SQLyesyesnoSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP/JSON APIProprietary protocol
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
Java
Perl
Python
R
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C++
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyesnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
BrytlytGreenplumPrometheusSWC-DB infoSuper Wide Column Database
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