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DBMS > Ignite vs. MongoDB vs. ScyllaDB

System Properties Comparison Ignite vs. MongoDB vs. ScyllaDB

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonMongoDB  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureCassandra and DynamoDB compatible wide column store
Primary database modelKey-value store
Relational DBMS
Document storeKey-value store
Wide column store
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
Score4.85
Rank#74  Overall
#10  Key-value stores
#41  Relational DBMS
Score496.50
Rank#5  Overall
#1  Document stores
Score3.54
Rank#90  Overall
#15  Key-value stores
#8  Wide column stores
Websiteignite.apache.orgwww.mongodb.comwww.scylladb.com
Technical documentationapacheignite.readme.io/­docsdocs.mongodb.com/­manualdocs.scylladb.com
DeveloperApache Software FoundationMongoDB, IncScyllaDB
Initial release201520092015
Current releaseApache Ignite 2.65.0, July 2021Scylla Open Source 4.3, January 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open 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 infoOpen Source (AGPL), commercial license available
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, .NetC++C++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-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-free
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.yesno
Secondary indexesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLRead-only SQL queries via the MongoDB Connector for BISQL-like DML and DDL statements (CQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
proprietary protocol using JSONProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC#
C++
Java
PHP
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
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)JavaScriptyes, Lua
Triggersyes (cache interceptors and events)yes 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 nodesyes (replicated cache)Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
selectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolationno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2yes infoin-memory tables
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and rolesAccess rights for users can be defined per object
More information provided by the system vendor
IgniteMongoDBScyllaDB
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Scylla is a highly-available, highly-scalable, highly-performant NoSQL database....
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Highly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
AdTech ( AdGear , AppMonet , Dstillery , FullContact , MediaMath , Numberly , SAS...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Comcast, Grab, OlaCabs, Yahoo! Japan, IMVU, Adgear, Xandr, Zenly, Natura, Snapfish,...
» 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
Scylla Open Source - free open source software (AGPL) Scylla Enterprise - subscription-based...
» more

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

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Conferences and events

MongoDB.Local London
London, 9 November 2021

Finished events

Introduction to MongoDB
Webinar, on demand, 27 July 2021 (finished)

Comparing Apache Cassandra 4.0, 3.0 and ScyllaDB
Webinar, 10am PDT / 1pm EDT / 7pm CEST, 23 September 2021

Scylla Virtual Workshop
10am ET | 2pm GMT, 30 September 2021

P99 CONF - Cross-Industry Event on All Things P99
Virtual Conference, 6-7 October 2021

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