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DBMS > Amazon Redshift vs. PostgreSQL vs. Vertica

System Properties Comparison Amazon Redshift vs. PostgreSQL vs. Vertica

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonPostgreSQL  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.24
Rank#29  Overall
#17  Relational DBMS
Score522.99
Rank#4  Overall
#4  Relational DBMS
Score21.03
Rank#31  Overall
#18  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.postgresql.orgwww.vertica.com
Technical documentationdocs.aws.amazon.com/­redshiftwww.postgresql.org/­docs/­manualswww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperAmazon (based on PostgreSQL)PostgreSQL Global Development Group infowww.postgresql.org/­developerVertica / Micro Focus infoprior to that Hewlett Packard
Initial release20121989 info1989: Postgres, 1996: PostgreSQL2005
Current release12.3, May 2020Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC
Server operating systemshostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeyesyesyes infoUnstructured data can be stored in specific Flex-Tables
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.noyes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesrestrictedyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyes infostandard with numerous extensionsyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hashSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-slave replication infoother methods possible by using 3rd party extensionsMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Amazon RedshiftPostgreSQLVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» 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.

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

More resources
Amazon RedshiftPostgreSQLVertica infoVertica Analytics Platform
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Conferences and events

PostgreSQL Online Trainings
Online Training Courses, 4 May 2020 - 11 December 2020

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