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DBMS > atoti vs. Brytlyt vs. PostGIS

System Properties Comparison atoti vs. Brytlyt vs. PostGIS

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBrytlyt  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLSpatial extension of PostgreSQL
Primary database modelObject oriented DBMSRelational DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websiteatoti.iobrytlyt.iopostgis.net
Technical documentationdocs.atoti.iodocs.brytlyt.iopostgis.net/­documentation
DeveloperActiveViamBrytlyt
Initial release20162005
Current release5.0, August 20233.4.2, February 2024
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoGPL v2.0
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 languageJavaC, C++ and CUDAC
Server operating systemsLinux
OS X
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Server-side scripts infoStored proceduresPythonuser defined functions infoin PL/pgSQLuser defined functions
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infobased on PostgreSQL

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More resources
atotiBrytlytPostGIS
DB-Engines blog posts

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