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DBMS > Brytlyt vs. GeoMesa vs. Microsoft SQL Server vs. PostgreSQL vs. Sqrrl

System Properties Comparison Brytlyt vs. GeoMesa vs. Microsoft SQL Server vs. PostgreSQL vs. Sqrrl

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Microsofts flagship relational DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSSpatial DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitebrytlyt.iowww.geomesa.orgwww.microsoft.com/­en-us/­sql-serverwww.postgresql.orgsqrrl.com
Technical documentationdocs.brytlyt.iowww.geomesa.org/­documentation/­stable/­user/­index.htmllearn.microsoft.com/­en-US/­sql/­sql-serverwww.postgresql.org/­docs
DeveloperBrytlytCCRi and othersMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerAmazon infooriginally Sqrrl Data, Inc.
Initial release2016201419891989 info1989: Postgres, 1996: PostgreSQL2012
Current release5.0, August 20235.0.0, May 2024SQL Server 2022, November 202216.3, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercial inforestricted free version is availableOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAScalaC++CJava
Server operating systemsLinux
OS X
Windows
Linux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesnoyesyes infostandard with numerous extensionsno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layertables can be distributed across several files (horizontal partitioning); sharding through federationpartitioning by range, list and (since PostgreSQL 11) by hashSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationdepending on storage layeryes, but depending on the SQL-Server EditionSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.depending on storage layeryesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
BrytlytGeoMesaMicrosoft SQL ServerPostgreSQLSqrrl
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