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DBMS > Apache Drill vs. Citus vs. FatDB vs. GeoSpock

System Properties Comparison Apache Drill vs. Citus vs. FatDB vs. GeoSpock

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonCitus  Xexclude from comparisonFatDB  Xexclude from comparisonGeoSpock  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA .NET NoSQL DBMS that can integrate with and extend SQL Server.Spatial and temporal data processing engine for extreme data scale
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score2.13
Rank#117  Overall
#56  Relational DBMS
Websitedrill.apache.orgwww.citusdata.comgeospock.com
Technical documentationdrill.apache.org/­docsdocs.citusdata.com
DeveloperApache Software FoundationFatCloudGeoSpock
Initial release201220102012
Current release1.20.3, January 20238.1, December 20182.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL, commercial license also availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC#Java, Javascript
Server operating systemsLinux
OS X
Windows
LinuxWindowshosted
Data schemeschema-freeyesschema-freeyes
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.noyes infospecific XML type available, but no XML query functionalityno
Secondary indexesnoyesyestemporal, categorical
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyes infostandard, with numerous extensionsno infoVia inetgration in SQL ServerANSI SQL for query only (using Presto)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
Supported programming languagesC++.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Server-side scripts infoStored proceduresuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infovia applicationsno
Triggersnoyesyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenono
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standardno infoCan implement custom security layer via applicationsAccess rights for users can be defined per table

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More resources
Apache DrillCitusFatDBGeoSpock
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Apache Drill case study: A tutorial on processing CSV files
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