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DBMS > ClickHouse vs. Google BigQuery vs. Oracle Rdb vs. Sphinx

System Properties Comparison ClickHouse vs. Google BigQuery vs. Oracle Rdb vs. Sphinx

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSphinx  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 tablesOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.31
Rank#37  Overall
#23  Relational DBMS
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score1.23
Rank#180  Overall
#82  Relational DBMS
Score6.06
Rank#61  Overall
#6  Search engines
Websiteclickhouse.comcloud.google.com/­bigquerywww.oracle.com/­database/­technologies/­related/­rdb.htmlsphinxsearch.com
Technical documentationclickhouse.com/­docscloud.google.com/­bigquery/­docswww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsphinxsearch.com/­docs
DeveloperClickhouse Inc.GoogleOracle, originally developed by Digital Equipment Corporation (DEC)Sphinx Technologies Inc.
Initial release2016201019842001
Current releasev23.12.1.1368-stable, December 20237.4.1.1, 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
Implementation languageC++C++
Server operating systemsFreeBSD
Linux
macOS
hostedHP Open VMSFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)yesyesSQL-like query language (SphinxQL)
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
RESTful HTTP/JSON APIProprietary protocol
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++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesuser defined functions infoin JavaScriptno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeskey based and customnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying datayes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
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)no

More information provided by the system vendor

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Related products and services
3rd partiesDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» more

Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» more
CData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ClickHouseGoogle BigQueryOracle RdbSphinx
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