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DBMS > Amazon Redshift vs. BigObject vs. Brytlyt vs. Rockset

System Properties Comparison Amazon Redshift vs. BigObject vs. Brytlyt vs. Rockset

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBigObject  Xexclude from comparisonBrytlyt  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAnalytic DBMS for real-time computations and queriesScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.37
Rank#32  Overall
#18  Relational DBMS
Score0.08
Rank#309  Overall
#140  Relational DBMS
Score0.36
Rank#260  Overall
#121  Relational DBMS
Score0.58
Rank#228  Overall
#36  Document stores
Websiteaws.amazon.com/­redshiftbigobject.iowww.brytlyt.comrockset.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.bigobject.iodocs.rockset.com
DeveloperAmazon (based on PostgreSQL)BigObject, Inc.BrytlytRockset
Initial release2012201520162019
Current release0.9, October 2016
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC, C++ and CUDAC++
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Windows
hosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesdynamic typing
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.nonoyes infospecific XML-type available, but no XML query functionality.no infoingestion from XML files supported
Secondary indexesrestrictedyesyesall fields are automatically indexed
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsyesRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
ODBC
fluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin PythonLuauser defined functions infoin PL/pgSQLno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyes infoautomatically between fact table and dimension tablesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
Amazon RedshiftBigObjectBrytlytRockset
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Recent citations in the news

AWS Introduces Amazon Redshift Serverless
1 December 2021, InfoQ.com

Stacking up: Building a modern data warehouse with Amazon Redshift
10 November 2021, The Register

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2 December 2021, Database Trends and Applications

Baffle Data Privacy Cloud supports privacy preserving analytics on Amazon Redshift
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USD 361.56 million growth for GPU Database Market from 2020 to 2025 |Evolving Opportunities with BlazingSQL Inc., Brytlyt Ltd. & Hetero DB Co. Ltd.|17000+ Technavio Reports
26 November 2021, PRNewswire

Brytlyt Unleashes Serverless GPU-Acceleration for Analytics
15 September 2021, PR Newswire UK

Brytlyt Awarded US Patent for Relational JOINs Algorithm
27 August 2021, PRNewswire

Brytlyt Lauded by Frost & Sullivan for Building BrytlytDB, a GPU-powered Analytics Platform that Is Transforming the Way Companies Leverage Data
21 June 2021, MarTech Series

Brytlyt Secures Series A to Turbocharge Real-Time Data Analytics
20 May 2020, PRNewswire

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Rockset Real-Time Analytics Database Now Available in AWS Marketplace
11 November 2021, Yahoo Finance

Did Rockset Just Solve Real-Time Analytics?
25 August 2021, Datanami

Rockset hopes to lessen streaming analytics time-suck by having SQL transform live data
27 August 2021, The Register

Rockset takes a deeper dive into enterprise data pool
15 April 2021, ZDNet

Rockset to Showcase Importance of Real-Time Analytics on Kafka Event Data
9 September 2021, MarTech Series

provided by Google News

Job opportunities

Software Development Engineer - Amazon Redshift Query Processing, Query Processing
Amazon.com Services LLC, Boston, MA

Account Manager - COCOMs
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Marketing Data Analyst
Affinity.co, Western, NE

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Office Manager
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jobs by Indeed



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