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DBMS > Apache Drill vs. MongoDB vs. VoltDB

System Properties Comparison Apache Drill vs. MongoDB vs. VoltDB

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonMongoDB  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMS
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.08
Rank#104  Overall
#21  Document stores
#53  Relational DBMS
Score477.66
Rank#5  Overall
#1  Document stores
Score1.57
Rank#142  Overall
#69  Relational DBMS
Websitedrill.apache.orgwww.mongodb.comwww.voltdb.com
Technical documentationdrill.apache.org/­docsdocs.mongodb.com/­manualdocs.voltdb.com
DeveloperApache Software FoundationMongoDB, IncVoltDB Inc.
Initial release201220092010
Current release1.19.0, June 20216.0.0, July 202211.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
OS X infofor development
Data schemeschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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.no
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantRead-only SQL queries via the MongoDB Connector for BIyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC++Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsJavaScriptJava
Triggersnoyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentDepending on the underlying data sourceyes infooptional, enabled by defaultyes infoSnapshots and command logging
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 infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users and rolesUsers and roles with access to stored procedures
More information provided by the system vendor
Apache DrillMongoDBVoltDB
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics200+ million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache DrillMongoDBVoltDB
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Recent citations in the news

Apache Drill improves big data SQL query engine
31 August 2021, TechTarget

The Apache Drill Project Announces Apache® Drill(TM) v1.19 Milestone Release
30 August 2021, GlobeNewswire

Apache Software Foundation updates Drill for broader SQL queries
1 September 2021, VentureBeat

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

Amazon's PartiQL query language eyes all data sources
6 August 2019, TechTarget

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