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

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

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Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonBadger  Xexclude from comparisonBangdb  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 frameworkAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Converged and high performance database for device data, events, time series, document and graphElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRDF storeKey-value storeDocument store
Graph DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.85
Rank#86  Overall
#3  RDF stores
Score0.20
Rank#325  Overall
#49  Key-value stores
Score0.15
Rank#334  Overall
#45  Document stores
#31  Graph DBMS
#31  Time Series DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlgithub.com/­dgraph-io/­badgerbangdb.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlgodoc.org/­github.com/­dgraph-io/­badgerdocs.bangdb.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation infooriginally developed by HP LabsDGraph LabsSachin Sinha, BangDBMicrosoft
Initial release2000201720122016
Current release4.9.0, July 2023BangDB 2.0, October 2021
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0Open Source infoApache 2.0Open Source infoBSD 3commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC, C++C++
Server operating systemsAll OS with a Java VMBSD
Linux
OS X
Solaris
Windows
Linuxhosted
Data schemeyes infoRDF Schemasschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes: string, long, double, int, geospatial, stream, eventsyes
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 indexesyesnoyes infosecondary, composite, nested, reverse, geospatialyes
SQL infoSupport of SQLnonoSQL like support with command line toolyes
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesJavaGoC
C#
C++
Java
Python
C#
Java
PHP
Server-side scripts infoStored proceduresyesnonoTransact SQL
Triggersyes infovia event handlernoyes, Notifications (with Streaming only)no
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneselectable replication factor, Knob for CAP (enterprise version only)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integritynonono 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 TransactionsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyesyesyes, implements WAL (Write ahead log) as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only mode
User concepts infoAccess controlAccess control via Jena Securitynoyes (enterprise version only)yes

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More resources
Apache Jena - TDBBadgerBangdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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