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DBMS > ClickHouse vs. Google BigQuery vs. Graph Engine

System Properties Comparison ClickHouse vs. Google BigQuery vs. Graph Engine

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGraph Engine infoformer name: Trinity  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.Large scale data warehouse service with append-only tablesA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Key-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.77
Rank#31  Overall
#19  Relational DBMS
Score62.88
Rank#19  Overall
#13  Relational DBMS
Score0.58
Rank#239  Overall
#21  Graph DBMS
#34  Key-value stores
Websiteclickhouse.comcloud.google.com/­bigquerywww.graphengine.io
Technical documentationclickhouse.com/­docscloud.google.com/­bigquery/­docswww.graphengine.io/­docs/­manual
DeveloperClickhouse Inc.GoogleMicrosoft
Initial release201620102010
Current releasev24.6.2.17-stable, July 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++.NET and C
Server operating systemsFreeBSD
Linux
macOS
hosted.NET
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.nonono
Secondary indexesyesno
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)yesno
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
RESTful HTTP/JSON APIRESTful HTTP API
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
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresyesuser defined functions infoin JavaScriptyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeskey based and customnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying datano
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
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.Access privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)

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More resources
ClickHouseGoogle BigQueryGraph Engine infoformer name: Trinity
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