Alternatives to NoSQLBooster logo

Alternatives to NoSQLBooster

Studio 3T, Robomongo, Slick, Sequel Pro, and PostGIS are the most popular alternatives and competitors to NoSQLBooster.
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What is NoSQLBooster and what are its top alternatives?

It is a shell-centric cross-platform GUI tool for MongoDB v2.6-4.0 which provides comprehensive server monitoring tools, fluent query builder, SQL query, ES2017 syntax support and true intellisense experience.
NoSQLBooster is a tool in the Database Tools category of a tech stack.

NoSQLBooster alternatives & related posts

Studio 3T logo

Studio 3T

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The professional MongoDB GUI
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    Studio 3T logo
    Studio 3T
    VS
    NoSQLBooster logo
    NoSQLBooster
    Robomongo logo

    Robomongo

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    9
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    A lightweight GUI for MongoDB
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      Robomongo logo
      Robomongo
      VS
      NoSQLBooster logo
      NoSQLBooster
      Slick logo

      Slick

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      7.9K
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      Database query and access library for Scala
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        Slick logo
        Slick
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        NoSQLBooster logo
        NoSQLBooster
        Sequel Pro logo

        Sequel Pro

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        MySQL database management for Mac OS X
        Sequel Pro logo
        Sequel Pro
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        NoSQLBooster
        PostGIS logo

        PostGIS

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        Open source spatial database
        PostGIS logo
        PostGIS
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        NoSQLBooster
        Open PostgreSQL Monitoring logo

        Open PostgreSQL Monitoring

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        Oversee and Manage Your PostgreSQL Servers
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          Open PostgreSQL Monitoring logo
          Open PostgreSQL Monitoring
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          NoSQLBooster logo
          NoSQLBooster

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          Miguel Suarez
          Miguel Suarez
          Lead Developer · | 8 upvotes · 135.8K views
          atJobsrepublicJobsrepublic
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          Flyway vs Liquibase #Migration #Backwards-compatible

          We were looking for a tool to help us integrating the migration scripts as part of our Deployment. At first sight both tools look very alike, are well integrated with Spring, have a fairly frequent development activity and short release cycles.

          Liquibase puts a lot of emphasis on independence with the DB, allowing you to create the scripts on formats like JSON and YML, abstracting away from SQL, which it's also supported. Since we only work with one DB type across services we wouldn't take much advantage of this feature.

          Flyway on the other hand has the advantage on being actively working on the integration with PostgreSQL 11, for it's upcoming version 6. Provides a more extensive set of properties that allow us to define what's allowed on what's not on each different environment.

          Instead of looking for a tool that will allow us to rollback our DB changes automatically, we decided to implement backwards-compatible DB changes, for example adding a new column instead of renaming an existing one, postponing the deletion of the deprecated column until the release has been successfully installed.

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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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            DataGrip logo

            DataGrip

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            A database IDE for professional SQL developers
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              DataGrip logo
              DataGrip
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              Liquibase logo

              Liquibase

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              Source control for your database
              Liquibase logo
              Liquibase
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              related Liquibase posts

              Miguel Suarez
              Miguel Suarez
              Lead Developer · | 8 upvotes · 135.8K views
              atJobsrepublicJobsrepublic
              Flyway
              Flyway
              Liquibase
              Liquibase
              PostgreSQL
              PostgreSQL
              #Migration
              #Backwards-compatible

              Flyway vs Liquibase #Migration #Backwards-compatible

              We were looking for a tool to help us integrating the migration scripts as part of our Deployment. At first sight both tools look very alike, are well integrated with Spring, have a fairly frequent development activity and short release cycles.

              Liquibase puts a lot of emphasis on independence with the DB, allowing you to create the scripts on formats like JSON and YML, abstracting away from SQL, which it's also supported. Since we only work with one DB type across services we wouldn't take much advantage of this feature.

              Flyway on the other hand has the advantage on being actively working on the integration with PostgreSQL 11, for it's upcoming version 6. Provides a more extensive set of properties that allow us to define what's allowed on what's not on each different environment.

              Instead of looking for a tool that will allow us to rollback our DB changes automatically, we decided to implement backwards-compatible DB changes, for example adding a new column instead of renaming an existing one, postponing the deletion of the deprecated column until the release has been successfully installed.

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              MySQL WorkBench logo

              MySQL WorkBench

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              A unified visual tool for database architects, developers, and DBAs
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                MySQL WorkBench logo
                MySQL WorkBench
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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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                  Tim Nolet
                  Tim Nolet
                  Founder, Engineer & Dishwasher at Checkly · | 20 upvotes · 410.4K views
                  atChecklyHQChecklyHQ
                  Heroku
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                  Docker
                  Docker
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                  Node.js
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                  Vue.js
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                  AWS Lambda
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                  Amazon S3
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                  PostgreSQL
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                  Knex.js
                  Knex.js
                  vuex
                  vuex

                  Heroku Docker GitHub Node.js hapi Vue.js AWS Lambda Amazon S3 PostgreSQL Knex.js Checkly is a fairly young company and we're still working hard to find the correct mix of product features, price and audience.

                  We are focussed on tech B2B, but I always wanted to serve solo developers too. So I decided to make a $7 plan.

                  Why $7? Simply put, it seems to be a sweet spot for tech companies: Heroku, Docker, Github, Appoptics (Librato) all offer $7 plans. They must have done a ton of research into this, so why not piggy back that and try it out.

                  Enough biz talk, onto tech. The challenges were:

                  • Slice of a portion of the functionality so a $7 plan is still profitable. We call this the "plan limits"
                  • Update API and back end services to handle and enforce plan limits.
                  • Update the UI to kindly state plan limits are in effect on some part of the UI.
                  • Update the pricing page to reflect all changes.
                  • Keep the actual processing backend, storage and API's as untouched as possible.

                  In essence, we went from strictly volume based pricing to value based pricing. Here come the technical steps & decisions we made to get there.

                  1. We updated our PostgreSQL schema so plans now have an array of "features". These are string constants that represent feature toggles.
                  2. The Vue.js frontend reads these from the vuex store on login.
                  3. Based on these values, the UI has simple v-if statements to either just show the feature or show a friendly "please upgrade" button.
                  4. The hapi API has a hook on each relevant API endpoint that checks whether a user's plan has the feature enabled, or not.

                  Side note: We offer 10 SMS messages per month on the developer plan. However, we were not actually counting how many people were sending. We had to update our alerting daemon (that runs on Heroku and triggers SMS messages via AWS SNS) to actually bump a counter.

                  What we build is basically feature-toggling based on plan features. It is very extensible for future additions. Our scheduling and storage backend that actually runs users' monitoring requests (AWS Lambda) and stores the results (S3 and Postgres) has no knowledge of all of this and remained unchanged.

                  Hope this helps anyone building out their SaaS and is in a similar situation.

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                  Tim Nolet
                  Tim Nolet
                  Founder, Engineer & Dishwasher at Checkly · | 10 upvotes · 73.6K views
                  atChecklyHQChecklyHQ
                  PostgreSQL
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                  Heroku
                  Heroku
                  Heroku Postgres
                  Heroku Postgres
                  Node.js
                  Node.js
                  Knex.js
                  Knex.js

                  PostgreSQL Heroku Heroku Postgres Node.js Knex.js

                  Last week we rolled out a simple patch that decimated the response time of a Postgres query crucial to Checkly. It quite literally went from an average of ~100ms with peaks to 1 second to a steady 1ms to 10ms.

                  However, that patch was just the last step of a longer journey:

                  1. I looked at what API endpoints were using which queries and how their response time grew over time. Specifically the customer facing API endpoints that are directly responsible for rendering the first dashboard page of the product are crucial.

                  2. I looked at the Heroku metrics such as those reported by heroku pg:outlier and cross references that with "slowest response time" statistics.

                  3. I reproduced the production situation as best as possible on a local development machine and test my hypothesis that an composite index on a uuid field and a timestampz field would reduce response times.

                  This method secured the victory and we rolled out a new index last week. Response times plummeted. Read the full story in the blog post.

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                  phpMyAdmin logo

                  phpMyAdmin

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                  A free software, for MySQL and MariaDB
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                  GraphiQL logo

                  GraphiQL

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                  An in-browser IDE for exploring GraphQL
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                  GraphiQL is a nice toy that has a desktop client, but you cannot save requests in any organized way. Most other clients I tried were either sluggish, didn't save requests, or didn't support cookies. Lack of cookie support is a no-no for work because we use session-based authentication in our internal API.

                  Then I stumbled upon Insomnia REST Client, and it clicked! Cookies work, GraphQL support is pretty good, UI looks nice and goes straight to the point. The only thing it lacks is a schema explorer, but I can always use GraphiQL if I ever need one, which is almost never.

                  Overall, I am very happy with it, and would recommend it to anyone seriously working with GraphQL. Insomnia is a godsend!

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                  Android Room logo

                  Android Room

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                  Save data in a local database
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                    Active Admin logo

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                    The administration framework for Ruby on Rails applications
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                    MongoDB Compass logo

                    MongoDB Compass

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                    A GUI for MongoDB
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