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DBMS > Apache Ignite vs. ClickHouse vs. MonetDB

System Properties Comparison Apache Ignite vs. ClickHouse vs. MonetDB

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Editorial information provided by DB-Engines
NameApache Ignite  Xexclude from comparisonClickHouse  Xexclude from comparisonMonetDB  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.A high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.A relational database management system that stores data in columns
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#87  Overall
#13  Key-value stores
#47  Relational DBMS
Score18.71
Rank#30  Overall
#18  Relational DBMS
Score1.67
Rank#131  Overall
#61  Relational DBMS
Websiteignite.apache.orgclickhouse.comwww.monetdb.org
Technical documentationapacheignite.readme.io/­docsclickhouse.com/­docswww.monetdb.org/­Documentation
DeveloperApache Software FoundationClickhouse Inc.MonetDB BV
Initial release201520162004
Current release2.16.0, December 2023v24.6.2.17-stable, July 2024Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC++C
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLClose to ANSI SQL (SQL/JSON + extensions)yes infoSQL 2003 with some extensions
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C# 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
Rust
Scala info3rd party library
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesyes, in SQL, C, R
Triggersyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingkey based and customSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Asynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.none infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.fine grained access rights according to SQL-standard

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More resources
Apache IgniteClickHouseMonetDB
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