Alternatives to Sequel Pro logo

Alternatives to Sequel Pro

Navicat, PostgreSQL, MySQL WorkBench, phpMyAdmin, and DataGrip are the most popular alternatives and competitors to Sequel Pro.
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What is Sequel Pro and what are its top alternatives?

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.
Sequel Pro is a tool in the Database Tools category of a tech stack.
Sequel Pro is an open source tool with 9K GitHub stars and 842 GitHub forks. Here’s a link to Sequel Pro's open source repository on GitHub

Top Alternatives to Sequel Pro

  • Navicat
    Navicat

    Powerful database management & design tool for Win, Mac & Linux. With intuitive GUI, user manages MySQL, MariaDB, SQL Server, SQLite, Oracle & PostgreSQL DB easily. ...

  • PostgreSQL
    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. ...

  • MySQL WorkBench
    MySQL WorkBench

    It enables a DBA, developer, or data architect to visually design, model, generate, and manage databases. It includes everything a data modeler needs for creating complex ER models, forward and reverse engineering, and also delivers key features for performing difficult change management and documentation tasks that normally require much time and effort. ...

  • phpMyAdmin
    phpMyAdmin

    As a portable web application written primarily in PHP, it has become one of the most popular MySQL administration tools, especially for web hosting services. ...

  • DataGrip
    DataGrip

    A cross-platform IDE that is aimed at DBAs and developers working with SQL databases. ...

  • DBeaver
    DBeaver

    It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc. ...

  • MySQL
    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. ...

  • TablePlus
    TablePlus

    TablePlus is a native app which helps you easily edit database data and structure. TablePlus includes many security features to protect your database, including native libssh and TLS to encrypt your connection. ...

Sequel Pro alternatives & related posts

Navicat logo

Navicat

119
258
8
A comprehensive DB tool for MySQL, MariaDB, SQL Server, SQLite, Oracle and PostgreSQL development and management.
119
258
+ 1
8
PROS OF NAVICAT
  • 8
    Fast
CONS OF NAVICAT
    Be the first to leave a con

    related Navicat posts

    PostgreSQL logo

    PostgreSQL

    95K
    79.5K
    3.5K
    A powerful, open source object-relational database system
    95K
    79.5K
    + 1
    3.5K
    PROS OF POSTGRESQL
    • 761
      Relational database
    • 510
      High availability
    • 439
      Enterprise class database
    • 383
      Sql
    • 304
      Sql + nosql
    • 173
      Great community
    • 147
      Easy to setup
    • 131
      Heroku
    • 130
      Secure by default
    • 113
      Postgis
    • 50
      Supports Key-Value
    • 48
      Great JSON support
    • 34
      Cross platform
    • 32
      Extensible
    • 28
      Replication
    • 26
      Triggers
    • 23
      Rollback
    • 22
      Multiversion concurrency control
    • 21
      Open source
    • 18
      Heroku Add-on
    • 17
      Stable, Simple and Good Performance
    • 15
      Powerful
    • 13
      Lets be serious, what other SQL DB would you go for?
    • 11
      Good documentation
    • 8
      Intelligent optimizer
    • 8
      Free
    • 8
      Scalable
    • 8
      Reliable
    • 7
      Transactional DDL
    • 7
      Modern
    • 6
      One stop solution for all things sql no matter the os
    • 5
      Relational database with MVCC
    • 5
      Faster Development
    • 4
      Developer friendly
    • 4
      Full-Text Search
    • 3
      Free version
    • 3
      Great DB for Transactional system or Application
    • 3
      Relational datanbase
    • 3
      search
    • 3
      Open-source
    • 3
      Excellent source code
    • 2
      Full-text
    • 2
      Text
    • 0
      Native
    CONS OF POSTGRESQL
    • 10
      Table/index bloatings

    related PostgreSQL posts

    Jeyabalaji Subramanian

    Recently we were looking at a few robust and cost-effective ways of replicating the data that resides in our production MongoDB to a PostgreSQL database for data warehousing and business intelligence.

    We set ourselves the following criteria for the optimal tool that would do this job: - The data replication must be near real-time, yet it should NOT impact the production database - The data replication must be horizontally scalable (based on the load), asynchronous & crash-resilient

    Based on the above criteria, we selected the following tools to perform the end to end data replication:

    We chose MongoDB Stitch for picking up the changes in the source database. It is the serverless platform from MongoDB. One of the services offered by MongoDB Stitch is Stitch Triggers. Using stitch triggers, you can execute a serverless function (in Node.js) in real time in response to changes in the database. When there are a lot of database changes, Stitch automatically "feeds forward" these changes through an asynchronous queue.

    We chose Amazon SQS as the pipe / message backbone for communicating the changes from MongoDB to our own replication service. Interestingly enough, MongoDB stitch offers integration with AWS services.

    In the Node.js function, we wrote minimal functionality to communicate the database changes (insert / update / delete / replace) to Amazon SQS.

    Next we wrote a minimal micro-service in Python to listen to the message events on SQS, pickup the data payload & mirror the DB changes on to the target Data warehouse. We implemented source data to target data translation by modelling target table structures through SQLAlchemy . We deployed this micro-service as AWS Lambda with Zappa. With Zappa, deploying your services as event-driven & horizontally scalable Lambda service is dumb-easy.

    In the end, we got to implement a highly scalable near realtime Change Data Replication service that "works" and deployed to production in a matter of few days!

    See more
    Tim Abbott

    We've been using PostgreSQL since the very early days of Zulip, but we actually didn't use it from the beginning. Zulip started out as a MySQL project back in 2012, because we'd heard it was a good choice for a startup with a wide community. However, we found that even though we were using the Django ORM for most of our database access, we spent a lot of time fighting with MySQL. Issues ranged from bad collation defaults, to bad query plans which required a lot of manual query tweaks.

    We ended up getting so frustrated that we tried out PostgresQL, and the results were fantastic. We didn't have to do any real customization (just some tuning settings for how big a server we had), and all of our most important queries were faster out of the box. As a result, we were able to delete a bunch of custom queries escaping the ORM that we'd written to make the MySQL query planner happy (because postgres just did the right thing automatically).

    And then after that, we've just gotten a ton of value out of postgres. We use its excellent built-in full-text search, which has helped us avoid needing to bring in a tool like Elasticsearch, and we've really enjoyed features like its partial indexes, which saved us a lot of work adding unnecessary extra tables to get good performance for things like our "unread messages" and "starred messages" indexes.

    I can't recommend it highly enough.

    See more
    MySQL WorkBench logo

    MySQL WorkBench

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    714
    28
    A unified visual tool for database architects, developers, and DBAs
    372
    714
    + 1
    28
    PROS OF MYSQL WORKBENCH
    • 7
      Free
    • 7
      Simple
    • 6
      Easy to use
    • 5
      Clean UI
    • 3
      Administration and monitoring module
    CONS OF MYSQL WORKBENCH
      Be the first to leave a con

      related MySQL WorkBench posts

      I'm learning SQL thru UDEMY and I'm trying to DL My SQL onto my machine, but when I get to the terminal, that's where I encounter my issues- nothing can be found. If I use SQLPro Studio for the course, is it better? I ask because MySQL WorkBench integrates with SQLPro Studio. I just want to get certified and start working again.

      See more
      Kelsey Doolittle

      We have a 138 row, 1700 column database likely to grow at least a row and a column every week. We are mostly concerned with how user-friendly the graphical management tools are. I understand MySQL has MySQL WorkBench, and Microsoft SQL Server has Microsoft SQL Server Management Studio. We have about 6 months to migrate our Excel database to one of these DBMS, and continue (hopefully manually) importing excel files from then on. Any tips appreciated!

      See more
      phpMyAdmin logo

      phpMyAdmin

      307
      293
      15
      A free software, for MySQL and MariaDB
      307
      293
      + 1
      15
      PROS OF PHPMYADMIN
      • 5
        Query linter
      • 5
        Easy data access
      • 5
        User administration
      CONS OF PHPMYADMIN
      • 1
        Insecure

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      DataGrip logo

      DataGrip

      551
      644
      17
      A database IDE for professional SQL developers
      551
      644
      + 1
      17
      PROS OF DATAGRIP
      • 4
        Works on Linux, Windows and MacOS
      • 3
        Code analysis
      • 2
        Diff viewer
      • 2
        Wide range of DBMS support
      • 1
        Generate ERD
      • 1
        Quick-fixes using keyboard shortcuts
      • 1
        Database introspection on 21 different dbms
      • 1
        Export data using a variety of formats using open api
      • 1
        Import data
      • 1
        Code completion
      CONS OF DATAGRIP
        Be the first to leave a con

        related DataGrip posts

        DBeaver logo

        DBeaver

        507
        691
        66
        A Universal Database Tool
        507
        691
        + 1
        66
        PROS OF DBEAVER
        • 21
          Free
        • 13
          Platform independent
        • 9
          Automatic driver download
        • 7
          Import-Export Data
        • 6
          Simple to use
        • 4
          Move data between databases
        • 4
          Wide range of DBMS support
        • 1
          SAP Hana DB support
        • 1
          Themes
        CONS OF DBEAVER
          Be the first to leave a con

          related DBeaver posts

          Manikandan Shanmugam
          Software Engineer at Blitzscaletech Software Solution · | 4 upvotes · 1.3M views
          Shared insights
          on
          AzureDataStudioAzureDataStudioDBeaverDBeaver

          Which tools are preferred if I choose to work on more data side? Which one is good if I decide to work on web development? I'm using DBeaver and am now considering a move to AzureDataStudio to break the monotony while working. I would like to hear your opinion. Which one are you using, and what are the things you are missing in dbeaver or data studio.

          See more
          MySQL logo

          MySQL

          121.5K
          102.7K
          3.7K
          The world's most popular open source database
          121.5K
          102.7K
          + 1
          3.7K
          PROS OF MYSQL
          • 800
            Sql
          • 679
            Free
          • 562
            Easy
          • 528
            Widely used
          • 489
            Open source
          • 180
            High availability
          • 160
            Cross-platform support
          • 104
            Great community
          • 78
            Secure
          • 75
            Full-text indexing and searching
          • 25
            Fast, open, available
          • 16
            SSL support
          • 15
            Reliable
          • 14
            Robust
          • 8
            Enterprise Version
          • 7
            Easy to set up on all platforms
          • 2
            NoSQL access to JSON data type
          • 1
            Relational database
          • 1
            Easy, light, scalable
          • 1
            Sequel Pro (best SQL GUI)
          • 1
            Replica Support
          CONS OF MYSQL
          • 16
            Owned by a company with their own agenda
          • 3
            Can't roll back schema changes

          related MySQL posts

          Tim Abbott

          We've been using PostgreSQL since the very early days of Zulip, but we actually didn't use it from the beginning. Zulip started out as a MySQL project back in 2012, because we'd heard it was a good choice for a startup with a wide community. However, we found that even though we were using the Django ORM for most of our database access, we spent a lot of time fighting with MySQL. Issues ranged from bad collation defaults, to bad query plans which required a lot of manual query tweaks.

          We ended up getting so frustrated that we tried out PostgresQL, and the results were fantastic. We didn't have to do any real customization (just some tuning settings for how big a server we had), and all of our most important queries were faster out of the box. As a result, we were able to delete a bunch of custom queries escaping the ORM that we'd written to make the MySQL query planner happy (because postgres just did the right thing automatically).

          And then after that, we've just gotten a ton of value out of postgres. We use its excellent built-in full-text search, which has helped us avoid needing to bring in a tool like Elasticsearch, and we've really enjoyed features like its partial indexes, which saved us a lot of work adding unnecessary extra tables to get good performance for things like our "unread messages" and "starred messages" indexes.

          I can't recommend it highly enough.

          See more
          Conor Myhrvold
          Tech Brand Mgr, Office of CTO at Uber · | 23 upvotes · 2.3M views

          Our most popular (& controversial!) article to date on the Uber Engineering blog in 3+ yrs. Why we moved from PostgreSQL to MySQL. In essence, it was due to a variety of limitations of Postgres at the time. Fun fact -- earlier in Uber's history we'd actually moved from MySQL to Postgres before switching back for good, & though we published the article in Summer 2016 we haven't looked back since:

          The early architecture of Uber consisted of a monolithic backend application written in Python that used Postgres for data persistence. Since that time, the architecture of Uber has changed significantly, to a model of microservices and new data platforms. Specifically, in many of the cases where we previously used Postgres, we now use Schemaless, a novel database sharding layer built on top of MySQL (https://eng.uber.com/schemaless-part-one/). In this article, we’ll explore some of the drawbacks we found with Postgres and explain the decision to build Schemaless and other backend services on top of MySQL:

          https://eng.uber.com/mysql-migration/

          See more
          TablePlus logo

          TablePlus

          164
          274
          11
          Easily edit database data and structure
          164
          274
          + 1
          11
          PROS OF TABLEPLUS
          • 5
            Great tool, sleek UI, run fast and secure connections
          • 3
            Free
          • 2
            Perfect for develop use
          • 1
            Security
          CONS OF TABLEPLUS
            Be the first to leave a con

            related TablePlus posts