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DBMS > Apache Drill vs. FoundationDB vs. Prometheus vs. SpatiaLite

System Properties Comparison Apache Drill vs. FoundationDB vs. Prometheus vs. SpatiaLite

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonFoundationDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSpatiaLite  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageOrdered key-value store. Core features are complimented by layers.Open-source Time Series DBMS and monitoring systemSpatial extension of SQLite
Primary database modelDocument store
Relational DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitedrill.apache.orggithub.com/­apple/­foundationdbprometheus.iowww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdrill.apache.org/­docsapple.github.io/­foundationdbprometheus.io/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software FoundationFoundationDBAlessandro Furieri
Initial release2012201320152008
Current release1.20.3, January 20236.2.28, November 20205.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
Windows
server-less
Data schemeschema-freeschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingNumeric data onlyyes
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 of XML data possibleno
Secondary indexesnononoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantsupported in specific SQL layer onlynoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesC++.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsin SQL-layer onlynono
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneLinearizable consistencynone
Foreign keys infoReferential integritynoin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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 sourcenoyes
User concepts infoAccess controlDepending on the underlying data sourcenonono

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More resources
Apache DrillFoundationDBPrometheusSpatiaLite
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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