Alternatives to Mode logo

Alternatives to Mode

MEAN, Marvel, Hibernate, Looker, and Medium are the most popular alternatives and competitors to Mode.
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What is Mode and what are its top alternatives?

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.
Mode is a tool in the Business Intelligence category of a tech stack.

Top Alternatives to Mode

  • MEAN
    MEAN

    MEAN (Mongo, Express, Angular, Node) is a boilerplate that provides a nice starting point for MongoDB, Node.js, Express, and AngularJS based applications. It is designed to give you a quick and organized way to start developing MEAN based web apps with useful modules like Mongoose and Passport pre-bundled and configured. ...

  • Marvel
    Marvel

    A super simple tool that turns any image (including PSDs) or sketch into interactive prototypes for any device. Powered by Dropbox. ...

  • Hibernate
    Hibernate

    Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper. ...

  • Looker
    Looker

    We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way. ...

  • Medium
    Medium

    Medium is a different kind of place on the internet. A place where the measure of success isn’t views, but viewpoints. Where the quality of the idea matters, not the author’s qualifications. A place where conversation pushes ideas forward. ...

  • Tableau
    Tableau

    Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click. ...

  • Google Analytics
    Google Analytics

    Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications. ...

  • Google Tag Manager
    Google Tag Manager

    Tag Manager gives you the ability to add and update your own tags for conversion tracking, site analytics, remarketing, and more. There are nearly endless ways to track user behavior across your sites and apps, and the intuitive design lets you change tags whenever you want. ...

Mode alternatives & related posts

MEAN logo

MEAN

345
618
594
A Simple, Scalable and Easy starting point for full stack javascript web development
345
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PROS OF MEAN
  • 86
    Javascript
  • 62
    Easy
  • 58
    Nosql
  • 52
    Great community
  • 50
    Mongoose
  • 50
    Modularity
  • 48
    Open source
  • 37
    Organized
  • 32
    Simple
  • 31
    Boilerplate
  • 10
    AngularJs
  • 9
    CLI
  • 9
    It's simply awesome
  • 8
    Cutting edge tech
  • 7
    Passport
  • 6
    It's a great new exciting stack
  • 6
    Yeoman
  • 6
    Docs
  • 5
    Friendly & Fun
  • 4
    Great Flexibility ;)
  • 4
    The WordPress of javascript apps
  • 3
    Genius
  • 2
    Modular
  • 2
    Scalable
  • 2
    JavaScript only
  • 1
    Growing Community
  • 1
    It's fun and has great potential
  • 1
    Gulp
  • 1
    Because i can write everything using javascript
  • 1
    Fast
  • 0
    The best
CONS OF MEAN
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    related MEAN posts

    Marvel logo

    Marvel

    187
    180
    46
    Prototyping for everyone
    187
    180
    + 1
    46
    PROS OF MARVEL
    • 15
      Nice UI
    • 14
      Free
    • 7
      Easy animations
    • 5
      Iphone app
    • 5
      Dropbox integration
    CONS OF MARVEL
      Be the first to leave a con

      related Marvel posts

      Hibernate logo

      Hibernate

      1.5K
      1.2K
      34
      Idiomatic persistence for Java and relational databases.
      1.5K
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      PROS OF HIBERNATE
      • 22
        Easy ORM
      • 8
        Easy transaction definition
      • 3
        Is integrated with spring jpa
      • 1
        Open Source
      CONS OF HIBERNATE
      • 3
        Can't control proxy associations when entity graph used

      related Hibernate posts

      Ganesa Vijayakumar
      Full Stack Coder | Technical Architect · | 19 upvotes · 5.3M views

      I'm planning to create a web application and also a mobile application to provide a very good shopping experience to the end customers. Shortly, my application will be aggregate the product details from difference sources and giving a clear picture to the user that when and where to buy that product with best in Quality and cost.

      I have planned to develop this in many milestones for adding N number of features and I have picked my first part to complete the core part (aggregate the product details from different sources).

      As per my work experience and knowledge, I have chosen the followings stacks to this mission.

      UI: I would like to develop this application using React, React Router and React Native since I'm a little bit familiar on this and also most importantly these will help on developing both web and mobile apps. In addition, I'm gonna use the stacks JavaScript, jQuery, jQuery UI, jQuery Mobile, Bootstrap wherever required.

      Service: I have planned to use Java as the main business layer language as I have 7+ years of experience on this I believe I can do better work using Java than other languages. In addition, I'm thinking to use the stacks Node.js.

      Database and ORM: I'm gonna pick MySQL as DB and Hibernate as ORM since I have a piece of good knowledge and also work experience on this combination.

      Search Engine: I need to deal with a large amount of product data and it's in-detailed info to provide enough details to end user at the same time I need to focus on the performance area too. so I have decided to use Solr as a search engine for product search and suggestions. In addition, I'm thinking to replace Solr by Elasticsearch once explored/reviewed enough about Elasticsearch.

      Host: As of now, my plan to complete the application with decent features first and deploy it in a free hosting environment like Docker and Heroku and then once it is stable then I have planned to use the AWS products Amazon S3, EC2, Amazon RDS and Amazon Route 53. I'm not sure about Microsoft Azure that what is the specialty in it than Heroku and Amazon EC2 Container Service. Anyhow, I will do explore these once again and pick the best suite one for my requirement once I reached this level.

      Build and Repositories: I have decided to choose Apache Maven and Git as these are my favorites and also so popular on respectively build and repositories.

      Additional Utilities :) - I would like to choose Codacy for code review as their Startup plan will be very helpful to this application. I'm already experienced with Google CheckStyle and SonarQube even I'm looking something on Codacy.

      Happy Coding! Suggestions are welcome! :)

      Thanks, Ganesa

      See more
      NIDHISH PUTHIYADATH
      Lead Software Engineer at EDIFECS · | 1 upvote · 308K views

      Material Design for Angular Angular 2 Node.js TypeScript Spring-Boot RxJS Microsoft SQL Server Hibernate Spring MVC

      We built our customer facing portal application using Angular frontend backed by Spring boot.

      See more
      Looker logo

      Looker

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      9
      Pioneering the next generation of BI, data discovery & data analytics
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      PROS OF LOOKER
      • 4
        Real time in app customer chat support
      • 4
        GitHub integration
      • 1
        Reduces the barrier of entry to utilizing data
      CONS OF LOOKER
      • 3
        Price

      related Looker posts

      Robert Zuber

      Our primary source of monitoring and alerting is Datadog. We’ve got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We’ve definitely scaled past the point where managing dashboards is easy, but we haven’t had time to invest in using features like Anomaly Detection. We’ve started using Honeycomb for some targeted debugging of complex production issues and we are liking what we’ve seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.

      We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.

      See more
      Mohan Ramanujam

      We are a consumer mobile app IOS/Android startup. The app is instrumented with branch and Firebase. We use Google BigQuery. We are looking at tools that can support engagement and cohort analysis at an early stage price which we can grow with. Data Studio is the default but it would seem Looker provides more power. We don't have much insight into Amplitude other than the fact it is a popular PM tool. Please provide some insight.

      See more
      Medium logo

      Medium

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      The perfect place to read and write.
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      PROS OF MEDIUM
      • 61
        Beautiful UI
      • 34
        Typography
      • 15
        Network effect
      • 12
        Embedding videos, tweets, vines
      • 12
        Great mobile app
      • 11
        Simple, yet elegant and appealing UX
      • 10
        Notes
      • 9
        Word counter
      • 7
        Easy to gain traction
      • 4
        Idealized media consumption
      • 3
        Inline Comments & Discussions
      • 3
        Beautiful design. great content, excellent experience
      • 2
        Version history
      • 2
        Nice UI and UX
      • 2
        Embed medium
      • 2
        Recommendations
      • 1
        Daily Digest
      CONS OF MEDIUM
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        related Medium posts

        Tableau logo

        Tableau

        1.3K
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        Tableau helps people see and understand data.
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        PROS OF TABLEAU
        • 6
          Capable of visualising billions of rows
        • 1
          Intuitive and easy to learn
        • 1
          Responsive
        CONS OF TABLEAU
        • 3
          Very expensive for small companies

        related Tableau posts

        Looking for the best analytics software for a medium-large-sized firm. We currently use a Microsoft SQL Server database that is analyzed in Tableau desktop/published to Tableau online for users to access dashboards. Is it worth the cost savings/time to switch over to using SSRS or Power BI? Does anyone have experience migrating from Tableau to SSRS /or Power BI? Our other option is to consider using Tableau on-premises instead of online. Using custom SQL with over 3 million rows really decreases performances and results in processing times that greatly exceed our typical experience. Thanks.

        See more
        Shared insights
        on
        TableauTableauQlikQlikPowerBIPowerBI

        Hello everyone,

        My team and I are currently in the process of selecting a Business Intelligence (BI) tool for our actively developing company, which has over 500 employees. We are considering open-source options.

        We are keen to connect with a Head of Analytics or BI Analytics professional who has extensive experience working with any of these systems and is willing to share their insights. Ideally, we would like to speak with someone from companies that have transitioned from proprietary BI tools (such as PowerBI, Qlik, or Tableau) to open-source BI tools, or vice versa.

        If you have any contacts or recommendations for individuals we could reach out to regarding this matter, we would greatly appreciate it. Additionally, if you are personally willing to share your experiences, please feel free to reach out to me directly. Thank you!

        See more
        Google Analytics logo

        Google Analytics

        126.9K
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        5K
        Enterprise-class web analytics.
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        PROS OF GOOGLE ANALYTICS
        • 1.5K
          Free
        • 926
          Easy setup
        • 890
          Data visualization
        • 698
          Real-time stats
        • 405
          Comprehensive feature set
        • 181
          Goals tracking
        • 154
          Powerful funnel conversion reporting
        • 138
          Customizable reports
        • 83
          Custom events try
        • 53
          Elastic api
        • 14
          Updated regulary
        • 8
          Interactive Documentation
        • 3
          Google play
        • 2
          Industry Standard
        • 2
          Advanced ecommerce
        • 2
          Walkman music video playlist
        • 1
          Medium / Channel data split
        • 1
          Irina
        • 1
          Financial Management Challenges -2015h
        • 1
          Lifesaver
        • 1
          Easy to integrate
        CONS OF GOOGLE ANALYTICS
        • 11
          Confusing UX/UI
        • 8
          Super complex
        • 6
          Very hard to build out funnels
        • 4
          Poor web performance metrics
        • 3
          Very easy to confuse the user of the analytics
        • 2
          Time spent on page isn't accurate out of the box

        related Google Analytics posts

        Tassanai Singprom

        This is my stack in Application & Data

        JavaScript PHP HTML5 jQuery Redis Amazon EC2 Ubuntu Sass Vue.js Firebase Laravel Lumen Amazon RDS GraphQL MariaDB

        My Utilities Tools

        Google Analytics Postman Elasticsearch

        My Devops Tools

        Git GitHub GitLab npm Visual Studio Code Kibana Sentry BrowserStack

        My Business Tools

        Slack

        See more
        Max Musing
        Founder & CEO at BaseDash · | 8 upvotes · 354K views

        Functionally, Amplitude and Mixpanel are incredibly similar. They both offer almost all the same functionality around tracking and visualizing user actions for analytics. You can track A/B test results in both. We ended up going with Amplitude at BaseDash because it has a more generous free tier for our uses (10 million actions per month, versus Mixpanel's 1000 monthly tracked users).

        Segment isn't meant to compete with these tools, but instead acts as an API to send actions to them, and other analytics tools. If you're just sending event data to one of these tools, you probably don't need Segment. If you're using other analytics tools like Google Analytics and FullStory, Segment makes it easy to send events to all your tools at once.

        See more
        Google Tag Manager logo

        Google Tag Manager

        63.5K
        7.2K
        0
        Quickly and easily update tags and code snippets on your website or mobile app
        63.5K
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        + 1
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        PROS OF GOOGLE TAG MANAGER
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          CONS OF GOOGLE TAG MANAGER
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            related Google Tag Manager posts

            Iva Obrovac
            Product Marketing Manager at Martian & Machine · | 8 upvotes · 79.7K views

            Hi,

            This is a question for best practice regarding Segment and Google Tag Manager. I would love to use Segment and GTM together when we need to implement a lot of additional tools, such as Amplitude, Appsfyler, or any other engagement tool since we can send event data without additional SDK implementation, etc.

            So, my question is, if you use Segment and Google Tag Manager, how did you define what you will push through Segment and what will you push through Google Tag Manager? For example, when implementing a Facebook Pixel or any other 3rd party marketing tag?

            From my point of view, implementing marketing pixels should stay in GTM because of the tag/trigger control.

            If you are using Segment and GTM together, I would love to learn more about your best practice.

            Thanks!

            See more