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DBMS > ClickHouse vs. CrateDB vs. RocksDB

System Properties Comparison ClickHouse vs. CrateDB vs. RocksDB

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonCrateDB  Xexclude from comparisonRocksDB  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.Distributed Database based on LuceneEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Key-value store
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.56
Rank#30  Overall
#18  Relational DBMS
Score0.64
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#17  Search engines
#19  Time Series DBMS
#14  Vector DBMS
Score2.73
Rank#97  Overall
#15  Key-value stores
Websiteclickhouse.comcratedb.comrocksdb.org
Technical documentationclickhouse.com/­docscratedb.com/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperClickhouse Inc.CrateFacebook, Inc.
Initial release201620132013
Current releasev24.6.2.17-stable, July 20245.8.1, August 20249.4.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoBSD
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++JavaC++
Server operating systemsFreeBSD
Linux
macOS
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesno
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)yes, but no triggers and constraints, and PostgreSQL compatibilityno
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
C++ API
Java 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
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functions (Javascript)no
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeskey based and customShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Configurable replication on table/partition-levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read-after-write consistency on record level
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infounique row identifiers can be used for implementing an optimistic concurrency control strategyyes
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.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.rights management via user accountsno

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More resources
ClickHouseCrateDBRocksDB
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