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DBMS > ClickHouse vs. GigaSpaces InsightEdge vs. MongoDB

System Properties Comparison ClickHouse vs. GigaSpaces InsightEdge vs. MongoDB

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGigaSpaces InsightEdge  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document store
Secondary database modelsTime Series DBMSGraph DBMS
Search engine
Spatial 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
Score12.05
Rank#44  Overall
#28  Relational DBMS
Score0.64
Rank#214  Overall
#32  Document stores
#11  Object oriented DBMS
Score484.67
Rank#5  Overall
#1  Document stores
Websiteclickhouse.techwww.gigaspaces.comwww.mongodb.com
Technical documentationclickhouse.tech/­docsdocs.gigaspaces.com/­latest/­landing.htmldocs.mongodb.com/­manual
DeveloperYandex LLCGigaspaces TechnologiesMongoDB, Inc
Initial release201620002009
Current releasev21.10.2.15-stable, October 202115.5, September 20205.0, July 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, C++, .NetC++
Server operating systemsFreeBSD
Linux
macOS
Linux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-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.
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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 infoXML can be used for describing objects metadata
Secondary indexesnoyesyes
SQL infoSupport of SQLClose to ANSI SQLSQL-99 for query and DML statementsRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
proprietary protocol using JSON
Supported programming languagesC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Scala info3rd party library
.Net
C++
Java
Python
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
Server-side scripts infoStored proceduresnoyesJavaScript
Triggersnoyes, event driven architectureyes infoin MongoDB Atlas only
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.
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by default
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlAccess rights for users and roles
More information provided by the system vendor
ClickHouseGigaSpaces InsightEdgeMongoDB
Specific characteristicsGigaSpaces, the pioneer of In-Memory Computing , drives enterprise digital transformation...
» more
MongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantages​ AI Driven Autonomous Operations – GigaSpaces’ unique AI driven technology simplifies...
» more
The MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosApplication Acceleration, Smart Caching, BI Acceleration on Fresh Data, Digital Integration...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersMorgan Stanley, Bank of America, Goldman Sachs, PriceRunner, Cerner, Societe Generale,...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsForrester has positioned GigaSpaces as a strong performer in The Forrester Wave™:...
» more
175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsGigaSpaces offers both open source and commercial editions with annual subscriptions....
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
ClickHouseGigaSpaces InsightEdgeMongoDB
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Recent citations in the news

ClickHouse Raises $250M Series B To Scale Groundbreaking OLAP Database Management System Globally
28 October 2021, Business Wire

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GigaSpaces Optimizes the Balance between Performance and Cost with InsightEdge Portfolio v15.8
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17 June 2021, PRNewswire

CLSA Deploys GigaSpaces InsightEdge Across Worldwide Data Centers to Power Their Digital Transformation
9 December 2020, PRNewswire

GigaSpaces Announced Winner of SIIA's 2021 CODiE™ Best Data Tool and Platform Award
24 June 2021, PRNewswire

GigaSpaces Wins 2021 Data Breakthrough Award for Best In-Memory Solution
24 March 2021, DevOps.com

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