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DBMS > Microsoft Azure Synapse Analytics vs. RDF4J vs. Speedb vs. TypeDB

System Properties Comparison Microsoft Azure Synapse Analytics vs. RDF4J vs. Speedb vs. TypeDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSpeedb  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionElastic, 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.An embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.
Primary database modelRelational DBMSRDF storeKey-value storeGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.26
Rank#310  Overall
#45  Key-value stores
Score0.70
Rank#230  Overall
#20  Graph DBMS
#8  Object oriented DBMS
#106  Relational DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticsrdf4j.orgwww.speedb.iotypedb.com
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsrdf4j.org/­documentationtypedb.com/­docs
DeveloperMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SpeedbVaticle
Initial release2016200420202016
Current release2.28.3, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache Version 2.0; commercial license availableOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++Java
Server operating systemshostedLinux
OS X
Unix
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesyes infoRDF Schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesnonono
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Supported programming languagesC#
Java
PHP
Java
PHP
Python
C
C++
Go
Java
Perl
Python
Ruby
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresTransact SQLyesnono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnonehorizontal partitioningno
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesSynchronous replication via raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoIsolation support depends on the API usedyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesnonoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRDF4J infoformerly known as SesameSpeedbTypeDB infoformerly named Grakn
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRDF4J infoformerly known as SesameSpeedbTypeDB infoformerly named Grakn
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