PostgreSQL vs Vertica

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PostgreSQL
PostgreSQL

15.9K
11.9K
+ 1
3.4K
Vertica
Vertica

22
4
+ 1
0
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PostgreSQL vs Vertica: What are the differences?

Developers describe PostgreSQL as "A powerful, open source object-relational database system". PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions. On the other hand, Vertica is detailed as "Engineering experiences that amaze". Vertica provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure.

PostgreSQL and Vertica can be categorized as "Databases" tools.

PostgreSQL is an open source tool with 5.63K GitHub stars and 1.84K GitHub forks. Here's a link to PostgreSQL's open source repository on GitHub.

According to the StackShare community, PostgreSQL has a broader approval, being mentioned in 3626 company stacks & 11299 developers stacks; compared to Vertica, which is listed in 3 company stacks and 3 developer stacks.

- No public GitHub repository available -

What is PostgreSQL?

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

What is Vertica?

It provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure.
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      What are some alternatives to PostgreSQL and Vertica?
      MySQL
      The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
      MariaDB
      Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.
      Oracle
      Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
      MongoDB
      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
      SQLite
      SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
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      Decisions about PostgreSQL and Vertica
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      How developers use PostgreSQL and Vertica
      Avatar of AngeloR
      AngeloR uses PostgreSQLPostgreSQL

      We use postgresql for the merge between sql/nosql. A lot of our data is unstructured JSON, or JSON that is currently in flux due to some MVP/interation processes that are going on. PostgreSQL gives the capability to do this.

      At the moment PostgreSQL on amazon is only at 9.5 which is one minor version down from support for document fragment updates which is something that we are waiting for. However, that may be some ways away.

      Other than that, we are using PostgreSQL as our main SQL store as a replacement for all the MSSQL databases that we have. Not only does it have great support through RDS (small ops team), but it also has some great ways for us to migrate off RDS to managed EC2 instances down the line if we need to.

      Avatar of Cloudcraft
      Cloudcraft uses PostgreSQLPostgreSQL

      PostgreSQL combines the best aspects of traditional SQL databases such as reliability, consistent performance, transactions, querying power, etc. with the flexibility of schemaless noSQL systems that are all the rage these days. Through the powerful JSON column types and indexes, you can now have your cake and eat it too! PostgreSQL may seem a bit arcane and old fashioned at first, but the developers have clearly shown that they understand databases and the storage trends better than almost anyone else. It definitely deserves to be part of everyone's toolbox; when you find yourself needing rock solid performance, operational simplicity and reliability, reach for PostgresQL.

      Avatar of Brandon Adams
      Brandon Adams uses PostgreSQLPostgreSQL

      Relational data stores solve a lot of problems reasonably well. Postgres has some data types that are really handy such as spatial, json, and a plethora of useful dates and integers. It has good availability of indexing solutions, and is well-supported for both custom modifications as well as hosting options (I like Amazon's Postgres for RDS). I use HoneySQL for Clojure as a composable AST that translates reliably to SQL. I typically use JDBC on Clojure, usually via org.clojure/java.jdbc.

      Avatar of ReviewTrackers
      ReviewTrackers uses PostgreSQLPostgreSQL

      PostgreSQL is responsible for nearly all data storage, validation and integrity. We leverage constraints, functions and custom extensions to ensure we have only one source of truth for our data access rules and that those rules live as close to the data as possible. Call us crazy, but ORMs only lead to ruin and despair.

      Avatar of Jeff Flynn
      Jeff Flynn uses PostgreSQLPostgreSQL

      Tried MongoDB - early euphoria - later dread. Tried MySQL - not bad at all. Found PostgreSQL - will never go back. So much support for this it should be your first choice. Simple local (free) installation, and one-click setup in Heroku - lots of options in terms of pricing/performance combinations.

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