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DBMS > Apache Druid vs. Apache Jena - TDB vs. GreptimeDB vs. Microsoft SQL Server

System Properties Comparison Apache Druid vs. Apache Jena - TDB vs. GreptimeDB vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkAn open source Time Series DBMS built for increased scalability, high performance and efficiencyMicrosofts flagship relational DBMS
Primary database modelRelational DBMS
Time Series DBMS
RDF storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score2.91
Rank#93  Overall
#3  RDF stores
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score807.76
Rank#3  Overall
#3  Relational DBMS
Websitedruid.apache.orgjena.apache.org/­documentation/­tdb/­index.htmlgreptime.comwww.microsoft.com/­en-us/­sql-server
Technical documentationdruid.apache.org/­docs/­latest/­designjena.apache.org/­documentation/­tdb/­index.htmldocs.greptime.comlearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperApache Software Foundation and contributorsApache Software Foundation infooriginally developed by HP LabsGreptime Inc.Microsoft
Initial release2012200020221989
Current release30.0.0, June 20244.9.0, July 2023SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache License, Version 2.0Open Source infoApache Version 2.0commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaRustC++
Server operating systemsLinux
OS X
Unix
All OS with a Java VMAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
Windows
Data schemeyes infoschema-less columns are supportedyes infoRDF Schemasschema-free, schema definition possibleyes
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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingnoyesyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
gRPC
HTTP API
JDBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
JavaC++
Erlang
Go
Java
JavaScript
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyesPythonTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoTDB TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess control via Jena SecuritySimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DruidApache Jena - TDBGreptimeDBMicrosoft SQL Server
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
Apache DruidApache Jena - TDBGreptimeDBMicrosoft SQL Server
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