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DBMS > Amazon Redshift vs. Blueflood vs. ClickHouse vs. SAP SQL Anywhere vs. TimescaleDB

System Properties Comparison Amazon Redshift vs. Blueflood vs. ClickHouse vs. SAP SQL Anywhere vs. TimescaleDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBlueflood  Xexclude from comparisonClickHouse  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsScalable TimeSeries DBMS based on CassandraColumn-oriented Relational DBMS powering YandexRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.58
Rank#31  Overall
#19  Relational DBMS
Score0.10
Rank#276  Overall
#20  Time Series DBMS
Score3.70
Rank#78  Overall
#41  Relational DBMS
Score5.79
Rank#56  Overall
#32  Relational DBMS
Score1.92
Rank#114  Overall
#7  Time Series DBMS
Websiteaws.amazon.com/­redshiftblueflood.ioclickhouse.yandexwww.sap.com/­products/­sql-anywhere.htmlwww.timescale.com
Technical documentationdocs.aws.amazon.com/­redshiftgithub.com/­rackerlabs/­blueflood/­wikiclickhouse.yandex/­docshelp.sap.com/­sql-anywheredocs.timescale.com
DeveloperAmazon (based on PostgreSQL)RackspaceYandex LLCSAP infoformerly SybaseTimescale
Initial release20122013201619922017
Current releasev19.13.3.26, August 201917, July 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC
Server operating systemshostedLinux
OS X
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyespredefined schemeyesyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyesyes
Secondary indexesrestrictednoyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
HTTP RESTADO.NET
HTTP API
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyes, in C/C++, Java, .Net or Perluser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandranoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraMaster-slave replication infoDatabase mirroringMaster-slave replication with hot standby and reads on slaves info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon RedshiftBluefloodClickHouseSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTimescaleDB
Specific characteristicsTimescaleDB is the first open-source time-series database that combines the reliability,...
» more
Competitive advantagesTimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosIoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
Key customersAltair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Market metrics1.8 million+ downloads, 7,500+ Github stars
» more
Licensing and pricing modelsApache 2 and Timescale License (TSL); Product matrix here ; information on pricing...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDBHawk: a web-based Amazon Redshift Workbench and Cloud database tool.
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Dremio is like magic for Redshift accelerating your analytical queries up to 1,000x.
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More resources
Amazon RedshiftBluefloodClickHouseSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTimescaleDB
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