Alternatives to PredictLeads logo

Alternatives to PredictLeads

Metabase, Tableau, Looker, Data Studio, and Redash are the most popular alternatives and competitors to PredictLeads.
0
4
+ 1
0

What is PredictLeads and what are its top alternatives?

It is an AI platform that helps corporate development & sales teams spend less time researching their prospective customers or partners. Its insights include recent news, job openings, technologies installed, new partnerships, product launches & more.
PredictLeads is a tool in the Market Intelligence category of a tech stack.

PredictLeads alternatives & related posts

Tableau logo

Tableau

212
105
0
212
105
+ 1
0
Tableau helps people see and understand data.
    Be the first to leave a pro
    Tableau logo
    Tableau
    VS
    PredictLeads logo
    PredictLeads
    Looker logo

    Looker

    155
    103
    6
    155
    103
    + 1
    6
    Pioneering the next generation of BI, data discovery & data analytics
    Looker logo
    Looker
    VS
    PredictLeads logo
    PredictLeads
    Data Studio logo

    Data Studio

    126
    93
    0
    126
    93
    + 1
    0
    Your data is powerful. Use it
      Be the first to leave a pro
      Data Studio logo
      Data Studio
      VS
      PredictLeads logo
      PredictLeads
      Redash logo

      Redash

      120
      93
      1
      120
      93
      + 1
      1
      Easily query an existing database, share the dataset and visualize it in different ways
      Redash logo
      Redash
      VS
      PredictLeads logo
      PredictLeads

      related Superset posts

      Julien DeFrance
      Julien DeFrance
      Principal Software Engineer at Tophatter | 16 upvotes 361.8K views
      atSmartZipSmartZip
      Amazon DynamoDB
      Amazon DynamoDB
      Ruby
      Ruby
      Node.js
      Node.js
      AWS Lambda
      AWS Lambda
      New Relic
      New Relic
      Amazon Elasticsearch Service
      Amazon Elasticsearch Service
      Elasticsearch
      Elasticsearch
      Superset
      Superset
      Amazon Quicksight
      Amazon Quicksight
      Amazon Redshift
      Amazon Redshift
      Zapier
      Zapier
      Segment
      Segment
      Amazon CloudFront
      Amazon CloudFront
      Memcached
      Memcached
      Amazon ElastiCache
      Amazon ElastiCache
      Amazon RDS for Aurora
      Amazon RDS for Aurora
      MySQL
      MySQL
      Amazon RDS
      Amazon RDS
      Amazon S3
      Amazon S3
      Docker
      Docker
      Capistrano
      Capistrano
      AWS Elastic Beanstalk
      AWS Elastic Beanstalk
      Rails API
      Rails API
      Rails
      Rails
      Algolia
      Algolia

      Back in 2014, I was given an opportunity to re-architect SmartZip Analytics platform, and flagship product: SmartTargeting. This is a SaaS software helping real estate professionals keeping up with their prospects and leads in a given neighborhood/territory, finding out (thanks to predictive analytics) who's the most likely to list/sell their home, and running cross-channel marketing automation against them: direct mail, online ads, email... The company also does provide Data APIs to Enterprise customers.

      I had inherited years and years of technical debt and I knew things had to change radically. The first enabler to this was to make use of the cloud and go with AWS, so we would stop re-inventing the wheel, and build around managed/scalable services.

      For the SaaS product, we kept on working with Rails as this was what my team had the most knowledge in. We've however broken up the monolith and decoupled the front-end application from the backend thanks to the use of Rails API so we'd get independently scalable micro-services from now on.

      Our various applications could now be deployed using AWS Elastic Beanstalk so we wouldn't waste any more efforts writing time-consuming Capistrano deployment scripts for instance. Combined with Docker so our application would run within its own container, independently from the underlying host configuration.

      Storage-wise, we went with Amazon S3 and ditched any pre-existing local or network storage people used to deal with in our legacy systems. On the database side: Amazon RDS / MySQL initially. Ultimately migrated to Amazon RDS for Aurora / MySQL when it got released. Once again, here you need a managed service your cloud provider handles for you.

      Future improvements / technology decisions included:

      Caching: Amazon ElastiCache / Memcached CDN: Amazon CloudFront Systems Integration: Segment / Zapier Data-warehousing: Amazon Redshift BI: Amazon Quicksight / Superset Search: Elasticsearch / Amazon Elasticsearch Service / Algolia Monitoring: New Relic

      As our usage grows, patterns changed, and/or our business needs evolved, my role as Engineering Manager then Director of Engineering was also to ensure my team kept on learning and innovating, while delivering on business value.

      One of these innovations was to get ourselves into Serverless : Adopting AWS Lambda was a big step forward. At the time, only available for Node.js (Not Ruby ) but a great way to handle cost efficiency, unpredictable traffic, sudden bursts of traffic... Ultimately you want the whole chain of services involved in a call to be serverless, and that's when we've started leveraging Amazon DynamoDB on these projects so they'd be fully scalable.

      See more
      Power BI logo

      Power BI

      50
      36
      0
      50
      36
      + 1
      0
      A business analytics service
        Be the first to leave a pro
        Power BI logo
        Power BI
        VS
        PredictLeads logo
        PredictLeads
        Chartio logo

        Chartio

        44
        30
        6
        44
        30
        + 1
        6
        A powerful Business Intelligence tool anyone can use
        Chartio logo
        Chartio
        VS
        PredictLeads logo
        PredictLeads
        Periscope logo

        Periscope

        40
        42
        9
        40
        42
        + 1
        9
        Periscope plugs directly into your database and lets you run, save and share analyses over billions of data...
        Periscope logo
        Periscope
        VS
        PredictLeads logo
        PredictLeads
        Amazon Quicksight logo

        Amazon Quicksight

        37
        42
        1
        37
        42
        + 1
        1
        Fast, easy to use business analytics at 1/10th the cost of traditional BI solutions
        Amazon Quicksight logo
        Amazon Quicksight
        VS
        PredictLeads logo
        PredictLeads

        related Amazon Quicksight posts

        Julien DeFrance
        Julien DeFrance
        Principal Software Engineer at Tophatter | 16 upvotes 361.8K views
        atSmartZipSmartZip
        Amazon DynamoDB
        Amazon DynamoDB
        Ruby
        Ruby
        Node.js
        Node.js
        AWS Lambda
        AWS Lambda
        New Relic
        New Relic
        Amazon Elasticsearch Service
        Amazon Elasticsearch Service
        Elasticsearch
        Elasticsearch
        Superset
        Superset
        Amazon Quicksight
        Amazon Quicksight
        Amazon Redshift
        Amazon Redshift
        Zapier
        Zapier
        Segment
        Segment
        Amazon CloudFront
        Amazon CloudFront
        Memcached
        Memcached
        Amazon ElastiCache
        Amazon ElastiCache
        Amazon RDS for Aurora
        Amazon RDS for Aurora
        MySQL
        MySQL
        Amazon RDS
        Amazon RDS
        Amazon S3
        Amazon S3
        Docker
        Docker
        Capistrano
        Capistrano
        AWS Elastic Beanstalk
        AWS Elastic Beanstalk
        Rails API
        Rails API
        Rails
        Rails
        Algolia
        Algolia

        Back in 2014, I was given an opportunity to re-architect SmartZip Analytics platform, and flagship product: SmartTargeting. This is a SaaS software helping real estate professionals keeping up with their prospects and leads in a given neighborhood/territory, finding out (thanks to predictive analytics) who's the most likely to list/sell their home, and running cross-channel marketing automation against them: direct mail, online ads, email... The company also does provide Data APIs to Enterprise customers.

        I had inherited years and years of technical debt and I knew things had to change radically. The first enabler to this was to make use of the cloud and go with AWS, so we would stop re-inventing the wheel, and build around managed/scalable services.

        For the SaaS product, we kept on working with Rails as this was what my team had the most knowledge in. We've however broken up the monolith and decoupled the front-end application from the backend thanks to the use of Rails API so we'd get independently scalable micro-services from now on.

        Our various applications could now be deployed using AWS Elastic Beanstalk so we wouldn't waste any more efforts writing time-consuming Capistrano deployment scripts for instance. Combined with Docker so our application would run within its own container, independently from the underlying host configuration.

        Storage-wise, we went with Amazon S3 and ditched any pre-existing local or network storage people used to deal with in our legacy systems. On the database side: Amazon RDS / MySQL initially. Ultimately migrated to Amazon RDS for Aurora / MySQL when it got released. Once again, here you need a managed service your cloud provider handles for you.

        Future improvements / technology decisions included:

        Caching: Amazon ElastiCache / Memcached CDN: Amazon CloudFront Systems Integration: Segment / Zapier Data-warehousing: Amazon Redshift BI: Amazon Quicksight / Superset Search: Elasticsearch / Amazon Elasticsearch Service / Algolia Monitoring: New Relic

        As our usage grows, patterns changed, and/or our business needs evolved, my role as Engineering Manager then Director of Engineering was also to ensure my team kept on learning and innovating, while delivering on business value.

        One of these innovations was to get ourselves into Serverless : Adopting AWS Lambda was a big step forward. At the time, only available for Node.js (Not Ruby ) but a great way to handle cost efficiency, unpredictable traffic, sudden bursts of traffic... Ultimately you want the whole chain of services involved in a call to be serverless, and that's when we've started leveraging Amazon DynamoDB on these projects so they'd be fully scalable.

        See more
        Shiny logo

        Shiny

        34
        18
        0
        34
        18
        + 1
        0
        An R package that makes it easy to build interactive web apps
          Be the first to leave a pro
          Shiny logo
          Shiny
          VS
          PredictLeads logo
          PredictLeads
          Microsoft SSRS logo

          Microsoft SSRS

          29
          18
          0
          29
          18
          + 1
          0
          A server-based report generating software system
            Be the first to leave a pro
            Microsoft SSRS logo
            Microsoft SSRS
            VS
            PredictLeads logo
            PredictLeads
            Google Datastudio logo

            Google Datastudio

            25
            15
            2
            25
            15
            + 1
            2
            A reporting and data visualization tool
            Google Datastudio logo
            Google Datastudio
            VS
            PredictLeads logo
            PredictLeads
            Qlik Sense logo

            Qlik Sense

            18
            5
            0
            18
            5
            + 1
            0
            A business intelligence and visual analytics platform
              Be the first to leave a pro
              Qlik Sense logo
              Qlik Sense
              VS
              PredictLeads logo
              PredictLeads
              GoodData logo

              GoodData

              17
              17
              0
              17
              17
              + 1
              0
              We help businesses monetize big data.
                Be the first to leave a pro
                GoodData logo
                GoodData
                VS
                PredictLeads logo
                PredictLeads
                QlikView logo

                QlikView

                16
                10
                0
                16
                10
                + 1
                0
                A Business Intelligence platform for turning data into knowledge
                  Be the first to leave a pro
                  QlikView logo
                  QlikView
                  VS
                  PredictLeads logo
                  PredictLeads
                  Cube.js logo

                  Cube.js

                  14
                  21
                  13
                  14
                  21
                  + 1
                  13
                  Open Source Analytics Framework
                  Cube.js logo
                  Cube.js
                  VS
                  PredictLeads logo
                  PredictLeads
                  Power BI Embedded logo

                  Power BI Embedded

                  11
                  7
                  0
                  11
                  7
                  + 1
                  0
                  Embedded BI reporting engine for your application
                    Be the first to leave a pro
                    Power BI Embedded logo
                    Power BI Embedded
                    VS
                    PredictLeads logo
                    PredictLeads
                    DOMO logo

                    DOMO

                    11
                    9
                    0
                    11
                    9
                    + 1
                    0
                    Domo optimizes your business by connecting you to the data, people, and expertise you need to improve business...
                      Be the first to leave a pro
                      DOMO logo
                      DOMO
                      VS
                      PredictLeads logo
                      PredictLeads