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DBMS > Amazon Redshift vs. ClickHouse vs. Sqrrl

System Properties Comparison Amazon Redshift vs. ClickHouse vs. Sqrrl

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonClickHouse  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsA 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.Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.12
Rank#38  Overall
#23  Relational DBMS
Score18.71
Rank#30  Overall
#18  Relational DBMS
Websiteaws.amazon.com/­redshiftclickhouse.comsqrrl.com
Technical documentationdocs.aws.amazon.com/­redshiftclickhouse.com/­docs
DeveloperAmazon (based on PostgreSQL)Clickhouse Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release201220162012
Current releasev24.6.2.17-stable, July 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Java
Server operating systemshostedFreeBSD
Linux
macOS
Linux
Data schemeyesyesschema-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.nono
Secondary indexesrestrictedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardClose to ANSI SQL (SQL/JSON + extensions)no
APIs and other access methodsJDBC
ODBC
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesAll languages supporting JDBC/ODBCC# 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
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingkey based and customSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic updates per row, document, or graph entity
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess 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.Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Amazon RedshiftClickHouseSqrrl
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