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DBMS > ClickHouse vs. DuckDB vs. Google Cloud Datastore vs. Sequoiadb

System Properties Comparison ClickHouse vs. DuckDB vs. Google Cloud Datastore vs. Sequoiadb

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDuckDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSequoiadb  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.An embeddable, in-process, column-oriented SQL OLAP RDBMSAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSRelational DBMSDocument storeDocument store
Relational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.71
Rank#30  Overall
#18  Relational DBMS
Score6.35
Rank#54  Overall
#32  Relational DBMS
Score3.69
Rank#71  Overall
#12  Document stores
Score0.39
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Websiteclickhouse.comduckdb.orgcloud.google.com/­datastorewww.sequoiadb.com
Technical documentationclickhouse.com/­docsduckdb.org/­docscloud.google.com/­datastore/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperClickhouse Inc.GoogleSequoiadb Ltd.
Initial release2016201820082013
Current releasev24.6.2.17-stable, July 20241.0.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT LicensecommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++
Server operating systemsFreeBSD
Linux
macOS
server-lesshostedLinux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes, details hereyes infooid, date, timestamp, binary, regex
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)yesSQL-like query language (GQL)SQL-like query language
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
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
Rust
Scala info3rd party library
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyesnousing Google App EngineJavaScript
TriggersnonoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodeskey based and customnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.noneMulti-source replication using PaxosSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
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.noAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access control

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More resources
ClickHouseDuckDBGoogle Cloud DatastoreSequoiadb
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