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DBMS > AllegroGraph vs. MongoDB vs. Sequoiadb vs. Snowflake

System Properties Comparison AllegroGraph vs. MongoDB vs. Sequoiadb vs. Snowflake

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonMongoDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureNewSQL database with distributed OLTP and SQLCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Document storeDocument store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMSSpatial 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
Score1.24
Rank#156  Overall
#27  Document stores
#14  Graph DBMS
#7  RDF stores
Score488.57
Rank#5  Overall
#1  Document stores
Score0.42
Rank#250  Overall
#38  Document stores
#117  Relational DBMS
Score76.82
Rank#17  Overall
#11  Relational DBMS
Websiteallegrograph.comwww.mongodb.comwww.sequoiadb.comwww.snowflake.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.mongodb.com/­manualwww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.snowflake.net/­manuals/­index.html
DeveloperFranz Inc.MongoDB, IncSequoiadb Ltd.Snowflake Computing Inc.
Initial release2004200920132014
Current release7.2, October 20215.0.5, December 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen 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 infoServer: AGPL; Client: Apache V2commercial
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)noyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linuxhosted
Data schemeyes infoRDF schemasschema-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.schema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes infooid, date, timestamp, binary, regexyes
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 infobulk load of XML files possiblenoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageRead-only SQL queries via the MongoDB Connector for BISQL-like query languageyes
APIs and other access methodsRESTful HTTP API
SPARQL
proprietary protocol using JSONproprietary protocol using JSONCLI Client
JDBC
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
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
.Net
C++
Java
PHP
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispJavaScriptJavaScriptuser defined functions
Triggersyesyes infoin MongoDB Atlas onlynono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Shardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolationDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-memory storage engine introduced with MongoDB version 3.2nono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and rolessimple password-based access controlUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
AllegroGraphMongoDBSequoiadbSnowflake
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
MongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
The 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 metrics175 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
News

Authentic Meets Artificial – The New Intelligence – DM Radio Broadcast
13 January 2022

Embedding Gruff In a Web Page
10 January 2022

AllegroGraph Named 2022 “Trend Setter”
3 January 2022

Predictions: Quantum AI, Graph Neural Networks, and Personal Data Pods
16 December 2021

Franz Inc. Announces AllegroGraph Has No Log4j Security Exposure
14 December 2021

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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