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DBMS > ClickHouse vs. GridGain vs. Teradata

System Properties Comparison ClickHouse vs. GridGain vs. Teradata

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGridGain  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionA 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.GridGain is an in-memory computing platform, built on Apache IgniteA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.61
Rank#31  Overall
#19  Relational DBMS
Score1.32
Rank#156  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#70  Relational DBMS
Score34.04
Rank#23  Overall
#16  Relational DBMS
Websiteclickhouse.comwww.gridgain.comwww.teradata.com
Technical documentationclickhouse.com/­docswww.gridgain.com/­docs/­index.htmldocs.teradata.com
DeveloperClickhouse Inc.GridGain Systems, Inc.Teradata
Initial release201620071984
Current releasev24.6.2.17-stable, July 2024GridGain 8.5.1Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial, open sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .Net, Python, REST, SQL
Server operating systemsFreeBSD
Linux
macOS
Linux
OS X
Solaris
Windows
z/OS
hosted
Linux
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.noyesyes
Secondary indexesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)ANSI-99 for query and DML statements, subset of DDLyes infoSQL 2016 + extensions
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
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
Rust
Scala info3rd party library
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)yes infoUDFs, stored procedures, table functions in parallel
Triggersnoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodeskey based and customShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.yes (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.yesyesyes
User concepts infoAccess controlAccess 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.Role-based access control
Security Hooks for custom implementations
fine grained access rights according to SQL-standard

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More resources
ClickHouseGridGainTeradata
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