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DBMS > Apache Drill vs. Stardog

System Properties Comparison Apache Drill vs. Stardog

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.80
Rank#118  Overall
#22  Document stores
#59  Relational DBMS
Score2.28
Rank#139  Overall
#12  Graph DBMS
#6  RDF stores
Websitedrill.apache.orgwww.stardog.com
Technical documentationdrill.apache.org/­docsdocs.stardog.com
DeveloperApache Software FoundationStardog-Union
Initial release20122010
Current release1.20.3, January 20237.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyes
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 infoImport/export of XML data possible
Secondary indexesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC++.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyes
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users and roles

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More resources
Apache DrillStardog
Recent citations in the news

Apache Drill Poised to Crack Tough Data Challenges
19 May 2015, Datanami

MapR Advances Support for Flexible and High Performance Analytics on JSON and S3 Data with Apache Drill
30 January 2019, Business Wire

Apache Drill Adds New Data Formats
28 March 2022, iProgrammer

Apache Spark vs. Apache Drill
18 May 2016, LinkedIn

New MapR Distribution Aims at Real-Time Big Data Analysis -- ADTmag
16 September 2014, ADT Magazine

provided by Google News

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