Alternatives to ProxySQL logo

Alternatives to ProxySQL

MaxScale, HAProxy, Vitess, Slick, and Spring Data are the most popular alternatives and competitors to ProxySQL.
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What is ProxySQL and what are its top alternatives?

It has an advanced multi-core architecture. It's built from the ground up to support hundreds of thousands of concurrent connections, multiplexed to potentially hundreds of backend servers. It helps you squeeze the last drop of performance out of your MySQL cluster, without controlling the applications that generate the queries.
ProxySQL is a tool in the Database Tools category of a tech stack.

Top Alternatives to ProxySQL

  • MaxScale

    MaxScale

    It is a database proxy that extends the high availability, scalability, and security of MariaDB Server while at the same time simplifying application development by decoupling it from underlying database infrastructure. ...

  • HAProxy

    HAProxy

    HAProxy (High Availability Proxy) is a free, very fast and reliable solution offering high availability, load balancing, and proxying for TCP and HTTP-based applications. ...

  • Vitess

    Vitess

    It is a database solution for deploying, scaling and managing large clusters of MySQL instances. It’s architected to run as effectively in a public or private cloud architecture as it does on dedicated hardware. It combines and extends many important MySQL features with the scalability of a NoSQL database. ...

  • Slick

    Slick

    It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred. ...

  • Spring Data

    Spring Data

    It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database. ...

  • Microsoft SQL Server Management Studio

    Microsoft SQL Server Management Studio

    It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts. ...

  • Sequel Pro

    Sequel Pro

    Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases. ...

  • PostGIS

    PostGIS

    PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL. ...

ProxySQL alternatives & related posts

MaxScale logo

MaxScale

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A database proxy that extends high security
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PROS OF MAXSCALE
    No pros available
    CONS OF MAXSCALE
      No cons available

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      Tom Klein

      We're using Git through GitHub for public repositories and GitLab for our private repositories due to its easy to use features. Docker and Kubernetes are a must have for our highly scalable infrastructure complimented by HAProxy with Varnish in front of it. We are using a lot of npm and Visual Studio Code in our development sessions.

      See more

      Around the time of their Series A, Pinterest’s stack included Python and Django, with Tornado and Node.js as web servers. Memcached / Membase and Redis handled caching, with RabbitMQ handling queueing. Nginx, HAproxy and Varnish managed static-delivery and load-balancing, with persistent data storage handled by MySQL.

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      Vitess logo

      Vitess

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      A database clustering system for horizontal scaling of MySQL
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      PROS OF VITESS
        No pros available
        CONS OF VITESS
          No cons available

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          Shared insights
          on
          MySQL
          Vitess
          at

          They're critical to the business data and operated by an ecosystem of tools. But once the tools have been used, it was important to verify that the data remains as expected at all times. Even with the best efforts to prevent errors, inconsistencies are bound to creep at any stage. In order to test the code in a comprehensive manner, Slack developed a structure known as a consistency check framework.

          This is a responsive and personalized framework that can meaningfully analyze and report on your data with a number of proactive and reactive benefits. This framework is important because it can help with repair and recovery from an outage or bug, it can help ensure effective data migration through scripts that test the code post-migration, and find bugs throughout the database. This framework helped prevent duplication and identifies the canonical code in each case, running as reusable code.

          The framework was created by creating generic versions of the scanning and reporting code and an interface for the checking code. The checks could be run from the command line and either a single team could be scanned or the whole system. The process was improved over time to further customize the checks and make them more specific. In order to make this framework accessible to everyone, a GUI was added and connected to the internal administrative system. The framework was also modified to include code that can fix certain problems, while others are left for manual intervention. For Slack, such a tool proved extremely beneficial in ensuring data integrity both internally and externally.

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          Slick logo

          Slick

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          Database query and access library for Scala
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          PROS OF SLICK
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            CONS OF SLICK
              No cons available

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              Spring Data logo

              Spring Data

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              Provides a consistent approach to data access – relational, non-relational, map-reduce, and beyond
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              PROS OF SPRING DATA
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                CONS OF SPRING DATA
                  No cons available

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                  Остап Комплікевич

                  I need some advice to choose an engine for generation web pages from the Spring Boot app. Which technology is the best solution today? 1) JSP + JSTL 2) Apache FreeMarker 3) Thymeleaf Or you can suggest even other perspective tools. I am using Spring Boot, Spring Web, Spring Data, Spring Security, PostgreSQL, Apache Tomcat in my project. I have already tried to generate pages using jsp, jstl, and it went well. However, I had huge problems via carrying already created static pages, to jsp format, because of syntax. Thanks.

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                  Microsoft SQL Server Management Studio logo

                  Microsoft SQL Server Management Studio

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                  An integrated environment for managing any SQL infrastructure
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                  PROS OF MICROSOFT SQL SERVER MANAGEMENT STUDIO
                    No pros available
                    CONS OF MICROSOFT SQL SERVER MANAGEMENT STUDIO
                      No cons available

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                      Sequel Pro logo

                      Sequel Pro

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                      MySQL database management for Mac OS X
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                      CONS OF SEQUEL PRO
                        No cons available

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                        PostGIS logo

                        PostGIS

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                        Open source spatial database
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                        CONS OF POSTGIS
                          No cons available

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