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

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

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonBadger  Xexclude from comparisonBangdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA 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 modelRelational DBMSRDF storeKey-value storeDocument store
Graph DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score3.75
Rank#84  Overall
#3  RDF stores
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websiteimpala.apache.orgjena.apache.org/­documentation/­tdb/­index.htmlgithub.com/­dgraph-io/­badgerbangdb.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationimpala.apache.org/­impala-docs.htmljena.apache.org/­documentation/­tdb/­index.htmlgodoc.org/­github.com/­dgraph-io/­badgerdocs.bangdb.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infooriginally developed by HP LabsDGraph LabsSachin Sinha, BangDBMicrosoft
Initial release20132000201720122016
Current release4.1.0, June 20224.9.0, July 2023BangDB 2.0, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache License, Version 2.0Open Source infoApache 2.0Open Source infoBSD 3commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaGoC, C++C++
Server operating systemsLinuxAll OS with a Java VMBSD
Linux
OS X
Solaris
Windows
Linuxhosted
Data schemeyesyes infoRDF Schemasschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes: 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.nononono
Secondary indexesyesyesnoyes infosecondary, composite, nested, reverse, geospatialyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoSQL like support with command line toolyes
APIs and other access methodsJDBC
ODBC
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJavaGoC
C#
C++
Java
Python
C#
Java
PHP
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesnonoTransact SQL
Triggersnoyes infovia event handlernoyes, Notifications (with Streaming only)no
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding (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 nodesselectable replication factornonenoneselectable replication factor, Knob for CAP (enterprise version only)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integritynononono 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 datanoACID infoTDB TransactionsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyesyesyesyes, 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.nonoyes, run db with in-memory only mode
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess control via Jena Securitynoyes (enterprise version only)yes

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