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DBMS > Apache Cassandra vs. ClickHouse vs. ScyllaDB

System Properties Comparison Apache Cassandra vs. ClickHouse vs. ScyllaDB

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Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonClickHouse  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessA 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.Cassandra and DynamoDB compatible wide column store
Primary database modelWide column storeRelational DBMSWide column store
Secondary database modelsVector DBMS infostarting with release V5Time Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score108.05
Rank#11  Overall
#1  Wide column stores
Score18.77
Rank#31  Overall
#19  Relational DBMS
Score3.70
Rank#69  Overall
#5  Wide column stores
Websitecassandra.apache.orgclickhouse.comwww.scylladb.com
Technical documentationcassandra.apache.org/­doc/­latestclickhouse.com/­docsdocs.scylladb.com
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookClickhouse Inc.ScyllaDB
Initial release200820162015
Current release5.0-rc1, July 2024v24.6.2.17-stable, July 2024ScyllaDB Open Source 6.2.0, October 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsBSD
Linux
OS X
Windows
FreeBSD
Linux
macOS
Linux
Data schemeschema-freeyesschema-free
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 indexesrestricted infoonly equality queries, not always the best performing solutionyesyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)Close to ANSI SQL (SQL/JSON + extensions)SQL-like DML and DDL statements (CQL)
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
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
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnoyesyes, Lua
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"key based and customSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.selectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoyes infoAtomicity and isolation are supported for single operations
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.noyesyes infoin-memory tables
User concepts infoAccess controlAccess rights for users can be defined per objectAccess 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 rights for users can be defined per object
More information provided by the system vendor
Apache CassandraClickHouseScyllaDB
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