DBMS > PostgreSQL vs. Vertica
System Properties Comparison PostgreSQL vs. Vertica
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Our visitors often compare PostgreSQL and Vertica with ClickHouse, Apache Druid and Snowflake.
|Editorial information provided by DB-Engines|
|Name||PostgreSQL Xexclude from comparison||Vertica Vertica Analytics Platform Xexclude from comparison|
|Description||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.|
|Primary database model||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Relational DBMS Column oriented|
|Secondary database models||Document store|
Time Series DBMS
|Developer||PostgreSQL Global Development Group www.postgresql.org/developer||OpenText previously Micro Focus and Hewlett Packard|
|Initial release||1989 1989: Postgres, 1996: PostgreSQL||2005|
|Current release||15.2, February 2023||12.0.3, January 2023|
|License Commercial or Open Source||Open Source BSD||commercial Limited community edition free|
|Cloud-based only Only available as a cloud service||no||no on-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers|
|DBaaS offerings (sponsored links) Database as a Service|
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|Vertica Accelerator’s high-performance analytics and machine learning with SQL or Python is available as SaaS.|
|Server operating systems||FreeBSD|
|Data scheme||yes||Yes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.|
|Typing predefined data types such as float or date||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes specific XML-type available, but no XML query functionality.||no|
|Secondary indexes||yes||No Indexes Required. Different internal optimization strategy, but same functionality included.|
|SQL Support of SQL||yes standard with numerous extensions||Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.|
|APIs and other access methods||ADO.NET|
native C library
streaming API for large objects
RESTful HTTP API
vSQL character-based, interactive, front-end utility
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||yes, PostgreSQL PL/pgSQL, with minor differences|
|Triggers||yes||yes, called Custom Alerts|
|Partitioning methods Methods for storing different data on different nodes||partitioning by range, list and (since PostgreSQL 11) by hash||horizontal partitioning, hierarchical partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication other methods possible by using 3rd party extensions||Multi-source replication One, or more copies of data replicated across nodes, or object-store used for repository.|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no Bi-directional Spark integration|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no|
|User concepts Access control||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash|
|More information provided by the system vendor|
|PostgreSQL||Vertica Vertica Analytics Platform|
|Specific characteristics||Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...|
|Competitive advantages||Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...|
|Typical application scenarios||Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...|
|Key customers||Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...|
|Licensing and pricing models||Cost-based models and subscription-based models are both available. One license is...|
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||Percona: Database problems? Not on your watch.|
Databases run better with Percona.
Datasentinel: Platform for Monitoring and Analyzing the performance problems of your PostgreSQL Clusters
pgDash: In-Depth PostgreSQL Monitoring.
SQLFlow: 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.
The State of PostgreSQL 2022 survey is now open!
Aiven for PostgreSQL: The familiar open source PostgreSQL® that you know and love, with no proprietary features or add-ons that will lock you in.
DbVisualizer is equipping database professionals with the tools they need to build, manage and maintain state-of-the-art database technologies. It has sky-high user satisfaction and is the preferred tool for database professionals around the world. Customers include Tesla, Apple, Facebook, Deutsche Bank, NASA, and 25,000 others in 145 countries.
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
Instaclustr: Fully Hosted & Managed PostgreSQL
Fujitsu Enterprise Postgres: An Enterprise Grade PostgreSQL with the flexibility of a hybrid cloud solution combined with industry leading security, availability and performance.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|PostgreSQL||Vertica Vertica Analytics Platform|
|DB-Engines blog posts|
Snowflake is the DBMS of the Year 2022, defending the title from last year Snowflake is the DBMS of the Year 2021 Driving the Future of PostgreSQL Adoption
Snowflake is the DBMS of the Year 2021 Driving the Future of PostgreSQL Adoption
Driving the Future of PostgreSQL Adoption
|Conferences and events|
PGCon 2023, PostgreSQL Conference for Users and Developers
|Recent citations in the news|
Google ambushes on-prem PostgreSQL with AlloyDB Omni
Google Cloud’s AlloyDB Omni lets you run its PostgreSQL-compatible database anywhere
Partners Line Up for Google Cloud Ready for AlloyDB Designation
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Google offers modernisation path for PostgreSQL with on-premises ...
provided by Google News
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