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DBMS > Apache Jena - TDB vs. DolphinDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison Apache Jena - TDB vs. DolphinDB vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRDF storeTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.85
Rank#86  Overall
#3  RDF stores
Score4.23
Rank#82  Overall
#6  Time Series DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlwww.dolphindb.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmldocs.dolphindb.cn/­en/­help200/­index.htmldocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation infooriginally developed by HP LabsDolphinDB, IncMicrosoft
Initial release200020182016
Current release4.9.0, July 2023v2.00.4, January 2022
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercial infofree community version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsAll OS with a Java VMLinux
Windows
hosted
Data schemeyes infoRDF Schemasyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyes
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
ODBC
Supported programming languagesJavaC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
Java
PHP
Server-side scripts infoStored proceduresyesyesTransact SQL
Triggersyes infovia event handlernono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess control via Jena SecurityAdministrators, Users, Groupsyes

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Apache Jena - TDBDolphinDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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