Unless both databases crash simultaneously, Postgres data won't be lost. With synchronous replication, each write waits until confirmation is received from both master and slave. MySQL replication is one-way asynchronous replication where one server acts as a primary and others as replicas. You can replicate all databases, selected databases or even selected tables within a database. MySQL Cluster is a technology providing shared-nothing no single point of failure clustering and auto-sharding partitioning for the MySQL database management system.
Internally MySQL Cluster uses synchronous replication through a two-phase commit mechanism to guarantee that data is written to multiple nodes. Here's a full list of the contributors , and the source code on Github. Along with a wealth of online documentation , PostgreSQL has a wide variety of community support, including mailing lists and IRC as well as third-party commercial support options. For proprietary use, several paid editions are available and offer additional functionality.
Try it free today! Topics Topics. Speak with a Panoply Data Architect. Resources Resources. Integrations Integrations. Why Panoply. Demo Demo. Visit Panoply. By Ben Rogojan February 15, Who uses these databases? Get a free consultation with a data architect to see how to build a data warehouse in minutes.
Read more in:. Databases Mysql Postgres. These are only some of the factors a developer might want to consider when choosing a database. Additionally, your platform provider might have a preference, for instance Heroku prefers Postgres and offers operational benefits to running it. Your framework may also prefer one over the other by offering better drivers. And as ever, your coworkers may have opinions! If you have a view on database selection please add a comment below - we would love to hear your thoughts.
If you liked this, you should follow us on Twitter. Check out our YouTube channel where we publish screencasts and other videos. We welcome relevant and respectful comments. Off-topic comments may be removed. Community Forum Toolkit. Sign Up. Three common database features are views, triggers, and stored procedures. PostgreSQL has more robust views, and supports materialized views, which can improve performance for complex queries.
Postgres offers a wider variety of data types than MySQL. If your application deals with any of the unique data types it has available, or unstructured data, PostgreSQL may be a better pick. Databases use indexes to speed up queries. With multiple indexing options to pick from, you can fine-tune your database performance as your data grows to get faster query responses from your database and an improved user experience for your application users.
Both databases support user and group management and granting SQL privileges to roles. In terms of security, the two databases have comparable options. MySQL offers similar forums, as well as paid support plans you can buy from Oracle. Consider PostgreSQL for any application that might grow to enterprise scope, with complex queries and frequent write operations. Your cloud platform provider might offer benefits when it comes to running one database over the other, or the application framework you use might be better suited for one, or your fellow developers may have opinions.
Both are operational databases, meant for transaction processing and not for analytics. To get a complete degree view of your business, you should extract transactional data from your PostgreSQL or MySQL database and feed it into a data warehouse , where it can be used to power your data analytics and business intelligence BI tools like Tableau and Looker.
This is where Fivetran can help — our automated, maintenance-free pipelines allow you to extract data from not only databases but also applications, files, and events, then securely load it into your data warehouse. Extracting, synchronizing, and integrating data across an enterprise is a complex problem that requires serious effort to get right.
Join us for a demo of Fivetran and learn how to bring your different data sets into one warehouse, speeding up your ability to unlock actionable insights and increase top-line revenue. Support Log in. Centralize your data within a target destination with fully managed data connectors.
By use case. Customer Support.
0コメント