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DBMS > Brytlyt vs. Microsoft Azure Synapse Analytics vs. RDF4J vs. Teradata Aster

System Properties Comparison Brytlyt vs. Microsoft Azure Synapse Analytics vs. RDF4J vs. Teradata Aster

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Platform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSRelational DBMSRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitebrytlyt.ioazure.microsoft.com/­services/­synapse-analyticsrdf4j.org
Technical documentationdocs.brytlyt.iodocs.microsoft.com/­azure/­synapse-analyticsrdf4j.org/­documentation
DeveloperBrytlytMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Teradata
Initial release2016201620042005
Current release5.0, August 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC++Java
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Unix
Windows
Linux
Data schemeyesyesyes infoRDF SchemasFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infoin Aster File Store
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesnoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
Java
PHP
Java
PHP
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLTransact SQLyesR packages
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardyesnofine grained access rights according to SQL-standard

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More resources
BrytlytMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRDF4J infoformerly known as SesameTeradata Aster
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