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DBMS > Apache Drill vs. IRONdb vs. RDFox vs. Spark SQL vs. Transbase

System Properties Comparison Apache Drill vs. IRONdb vs. RDFox vs. Spark SQL vs. Transbase

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonIRONdb  Xexclude from comparisonRDFox  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityHigh performance knowledge graph and semantic reasoning engineSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument store
Relational DBMS
Time Series DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score0.24
Rank#309  Overall
#25  Graph DBMS
#14  RDF stores
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.15
Rank#337  Overall
#147  Relational DBMS
Websitedrill.apache.orgwww.circonus.com/solutions/time-series-database/www.oxfordsemantic.techspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationdrill.apache.org/­docsdocs.circonus.com/irondb/category/getting-starteddocs.oxfordsemantic.techspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software FoundationCirconus LLC.Oxford Semantic TechnologiesApache Software FoundationTransaction Software GmbH
Initial release20122017201720141987
Current release1.20.3, January 2023V0.10.20, January 20186.0, Septermber 20223.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++ScalaC and C++
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeschema-freeyes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyesyes
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 indexesnononoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like query language (Circonus Analytics Query Language: CAQL)noSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP APIRESTful HTTP API
SPARQL 1.1
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC++.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
Java
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes, in Luanoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarereplication via a shared file systemnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency per node, eventual consistency across nodesImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyesnono
User concepts infoAccess controlDepending on the underlying data sourcenoRoles, resources, and access typesnofine grained access rights according to SQL-standard

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More resources
Apache DrillIRONdbRDFoxSpark SQLTransbase
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