DB-EnginesExtremeDB: the mission critical dbmsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon Redshift vs. SiriDB vs. Yaacomo

System Properties Comparison Amazon Redshift vs. SiriDB vs. Yaacomo

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonSiriDB  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsOpen Source Time Series DBMSOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.17
Rank#31  Overall
#18  Relational DBMS
Score0.00
Rank#357  Overall
#33  Time Series DBMS
Score0.00
Rank#357  Overall
#155  Relational DBMS
Websiteaws.amazon.com/­redshiftsiridb.netyaacomo.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.siridb.net
DeveloperAmazon (based on PostgreSQL)CesbitQ2WEB GmbH
Initial release201220172009
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercial
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
Server operating systemshostedLinuxAndroid
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes infoNumeric datayes
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 indexesrestrictedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyes
APIs and other access methodsJDBC
ODBC
HTTP APIJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Go
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonno
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsfine grained access rights according to SQL-standard

More information provided by the system vendor

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 partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon RedshiftSiriDBYaacomo
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

Recent citations in the news

Amazon Redshift Serverless Generally Available to Automatically Scale Data Warehouse
23 July 2022, InfoQ.com

Talend Announces Support for Amazon Redshift Serverless
4 August 2022, PR Newswire

Qlik Debuts Support for Amazon Redshift Serverless Cloud Data Warehouse
14 July 2022, MyChesCo

Amazon Redshift Console,Amazon Redshift Console
8 August 2022, iTWire

Data Management News for the Week of August 5; Updates from Dremio, OpenText, Talend, and More
4 August 2022, Solutions Review

provided by Google News

Job opportunities

Principal Data Architect, Data Warehousing & MPP
Amazon Dev Center U.S., Inc., West Virginia

Principal Data Architect, Data Warehousing & MPP
Amazon Dev Center U.S., Inc., Oklahoma

Principal Data Architect, Data Warehousing & MPP
Amazon Dev Center U.S., Inc., Louisiana

Sr. Data Architect, Data Warehouse & MPP - Nationwide Opportunities
Amazon Web Services, Inc., West Virginia

Principal Data Architect, Data Warehousing & MPP
Amazon Dev Center U.S., Inc., Alabama

jobs by Indeed



Share this page

Featured Products

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

Redis logo

The world’s most loved real‑time data platform.
Try free

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here