Databricks vs Dundas BI comparison

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Databricks Logo
28,492 views|18,008 comparisons
96% willing to recommend
Dundas Logo
465 views|208 comparisons
96% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Databricks and Dundas BI based on real PeerSpot user reviews.

Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Databricks vs. Dundas BI Report (Updated: January 2021).
769,630 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things.""Ability to work collaboratively without having to worry about the infrastructure.""This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities.""The setup is quite easy.""The time travel feature is the solution's most valuable aspect.""I like how easy it is to share your notebook with others. You can give people permission to read or edit. I think that's a great feature. You can also pull in code from GitHub pretty easily. I didn't use it that often, but I think that's a cool feature.""Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user.""The solution is easy to use and has a quick start-up time due to being on the cloud."

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"We have now the ability to create interactive and complex reports without the need for software developers and code.""We use Dundas to report on machine sensor data and create dashboards.""It was quite easy to use. The UI was basically drag-and-drop based. So, even if you were a beginner at coding software or something else, it would be easy to catch up on Dundas BI.""With Dundas BI, you have a lot of visualization choices, and you can also do customizations by using HTML coding and JavaScript. The ease of development was one of the main factors for going for Dundas BI. The client had different reporting tools, but they wanted something that could accommodate all requirements.""The Layers feature organizes my work and makes it easier, instead of having to use scripting to show and hide when drilling down.""The solution has a good drag-and-drop feature for creating dashboards."

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Cons
"There is room for improvement in visualization.""Pricing is one of the things that could be improved.""Databricks can improve by making the documentation better.""Databricks' technical support takes a while to respond and could be improved.""The connectivity with various BI tools could be improved, specifically the performance and real time integration.""The tool should improve its integration with other products.""The integration of data could be a bit better.""The Databricks cluster can be improved."

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"Working with the color palette is difficult in Dundas BI. They can work on different color palettes and make them organized and user-friendly. It would help a long way. Most of the time, the users face challenges in assigning colors to the fields that they have created or to the dimensions and measures in a chart.""I would love to see more functions built in inside the application, instead of being scripted. They already did some of that in the new release, version 5, like forecasting, trend lines, etc., and I would love to see more of these kinds of calculations, which we used to do it by scripts before.""Lacks sufficient online support.""It would be helpful if Dundas made the UI more user-friendly like the leading tools and decreased the learning curve. It should be simpler for a beginner to build dashboards.""For every object, references are generated, but sometimes, there was a problem with the references overlapping each other. Everything would go off. It would stop working, and then from the admin side, people had to do something to bring it up again.""I cannot select a visualization and see what filters are connected to it."

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Pricing and Cost Advice
  • "Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."
  • "I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
  • "Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
  • "We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
  • "The pricing depends on the usage itself."
  • "I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
  • "The price is okay. It's competitive."
  • "Databricks uses a price-per-use model, where you can use as much compute as you need."
  • More Databricks Pricing and Cost Advice →

  • "I'm not aware of its cost. Its licensing was probably role-wise. Most of us had reader access, editor access, or developer access. For admin, there were certain restrictions. So, I'm assuming it had role-wise licensing."
  • "I am not majorly involved in its licensing. We are not the end license purchaser of the Dundas BI. It costs somewhere around $4,000 a year for the enterprise solution, but I am not sure."
  • More Dundas BI Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with… more »
    Top Answer:We researched AWS SageMaker, but in the end, we chose Databricks Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It… more »
    Top Answer:Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their… more »
    Top Answer:I am not majorly involved in its licensing. We are not the end license purchaser of the Dundas BI. It costs somewhere around $4,000 a year for the enterprise solution, but I am not sure.
    Top Answer:It would be helpful if Dundas made the UI more user-friendly like the leading tools and decreased the learning curve. It should be simpler for a beginner to build dashboards.
    Top Answer:We use Dundas to report on machine sensor data and create dashboards.
    Ranking
    1st
    Views
    28,492
    Comparisons
    18,008
    Reviews
    47
    Average Words per Review
    441
    Rating
    8.3
    21st
    out of 71 in Data Visualization
    Views
    465
    Comparisons
    208
    Reviews
    4
    Average Words per Review
    761
    Rating
    6.3
    Comparisons
    Also Known As
    Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
    Learn More
    Overview

    Databricks is an industry-leading data analytics platform which is a one-stop product for all data requirements. Databricks is made by the creators of Apache Spark, Delta Lake, ML Flow, and Koalas. It builds on these technologies to deliver a true lakehouse data architecture, making it a robust platform that is reliable, scalable, and fast. Databricks speeds up innovations by synthesizing storage, engineering, business operations, security, and data science.

    Databricks is integrated with Microsoft Azure, Amazon Web Services, and Google Cloud Platform. This enables users to easily manage a colossal amount of data and to continuously train and deploy machine learning models for AI applications. The platform handles all analytic deployments, ranging from ETL to models training and deployment.

    Databricks deciphers the complexities of processing data to empower data scientists, engineers, and analysts with a simple collaborative environment to run interactive and scheduled data analysis workloads. The program takes advantage of AI’s cost-effectivity, flexibility, and cloud storage.

    Databricks Key Features

    Some of Databricks key features include:

    • Cloud-native: Works well on any prominent cloud provider.
    • Data storage: Stores a broad range of data, including structured, unstructured, and streaming.
    • Self-governance: Built-in governance and security controls.
    • Flexibility: Flexible for small-scale jobs as well as running large-scale jobs like Big Data processing because it’s built from Spark and is specifically optimized for Cloud environments.
    • Data science tools: Production-ready data tooling, from engineering to BI, AI, and ML.
    • Familiar languages: While Databricks is Spark-based, it allows commonly used programming languages like R, SQL, Scala, and Python to be used.
    • Team sharing workspaces: Creates an environment that provides interactive workspaces for collaboration, which allow multiple members to collaborate for data model creation, machine learning, and data extraction.
    • Data source: Performs limitless Big Data analytics by connecting to Cloud providers AWS, Azure, and Google, as well as on-premises SQL servers, JSON and CSV.

    Reviews from Real Users

    Databricks stands out from its competitors for several reasons. Two striking features are its collaborative ability and its ability to streamline multiple programming languages.

    PeerSpot users take note of the advantages of these features. A Chief Research Officer in consumer goods writes, “We work with multiple people on notebooks and it enables us to work collaboratively in an easy way without having to worry about the infrastructure. I think the solution is very intuitive, very easy to use. And that's what you pay for.”

    A business intelligence coordinator in construction notes, “The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes.”

    An Associate Manager who works in consultancy mentions, “The technology that allows us to write scripts within the solution is extremely beneficial. If I was, for example, able to script in SQL, R, Scala, Apache Spark, or Python, I would be able to use my knowledge to make a script in this solution. It is very user-friendly and you can also process the records and validation point of view. The ability to migrate from one environment to another is useful.”

    Dundas BI is a powerful, flexible, end-to-end business intelligence platform that simplifies the entire analytics process and empowers its users to analyze and visualize data. The solution enables organizations to create and view interactive dashboards, reports, scorecards, and more. Dundas BI can be integrated into an existing website as part of a custom BI solution or it can be deployed as the central data portal for your organization. The solution is suitable for mid-to-large sized companies.

    Dundas BI Features

    Dundas BI has many valuable key features. Some of the most useful ones include:

    • Mobile responsive dashboards
    • Smart data display
    • Calendar support for retail and manufacturing
    • Data connectivity
    • Show/hide interaction
    • Batching data builds
    • Enhanced development workflow
    • Navigation support
    • Data regulation support
    • Optimized application performance
    • Instant application portability with docker
    • Easy SaaS support with Kubernetes
    • Natural language user input
    • Enhanced application security
    • Scheduled reports with multiple export options
    • Fully open APIs

    Dundas BI Benefits

    There are many benefits to implementing Dundas BI. Some of the biggest advantages the solution offers include:

    • Limitless customization: You can fully customize the Dundas BI platform, including its dashboards, data visualizations, interactions, scorecards, labels, etc. to meet your organization’s unique design requirements.
    • Effectively visualize and analyze data: The solution provides interactive data views that help you create pixel-perfect dashboards and reports that have interactive data visualizations so you can elevate your users’ abilities to effectively communicate data insights and drive faster decision-making.
    • Greater efficiency: Dundas BI can consolidate and store data from any source, providing seamless data delivery and a consistent user experience, which leads to greater efficiency. By having all your business intelligence, reporting, and data analytics needs in one single platform, you also save your organization a lot of time and effort.
    • Tailored data discovery process: Dundas BI adapts to all user types, allowing everyone to personalize it to suit their own needs and requirements, which helps users, data analysts, and developers to analyze their data quickly. The solution’s data discovery process also allows you to run ad-hoc queries, perform visual data analytics, and quickly create relevant and actionable content.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot users currently using the Dundas BI solution.

    A Business Intelligence Consultant at Siemens Industry says, “The flexibility of the dashboard designer is great. You can control every single pixel and no matter what the user asks for we can deliver. It has a lot of out-of-the-box options that you can use to customize your dashboard. There is also the option to use their JavaScript API, however, in 99% of the cases, the built-in options are more than enough. I also love the control you have on what queries Dundas BI is generating against our databases. This allows us to create really fast dashboards even when running against millions of records.”

    James D., System Architect at Yulista, LLC mentions that the most valuable aspect of the solution is its “ability to warehouse query results. This is good because you do not have to have a data warehouse, you let Dundas warehouse the results of a query that runs long during off hours.”

    Another reviewer shares, “The built-in ETL functionality has allowed us to combine data sources without the need for a full SSIS package. This saves time and allows for a quicker time to market.”

    Sample Customers
    Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
    Coca Cola, Siemens, Verizon, Microsoft, Pitney Bowes, Scotiabank, Pepperidge Farm, Shutterstock, Norwegian Government, Boeing, Guess Inc., BP, Bayer
    Top Industries
    REVIEWERS
    Computer Software Company25%
    Financial Services Firm16%
    Retailer9%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company12%
    Manufacturing Company8%
    Healthcare Company6%
    REVIEWERS
    Manufacturing Company25%
    Healthcare Company13%
    Aerospace/Defense Firm13%
    Computer Software Company13%
    VISITORS READING REVIEWS
    Government14%
    Financial Services Firm13%
    Computer Software Company13%
    Manufacturing Company9%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise59%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise71%
    REVIEWERS
    Small Business44%
    Midsize Enterprise17%
    Large Enterprise39%
    VISITORS READING REVIEWS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise60%
    Buyer's Guide
    Databricks vs. Dundas BI
    January 2021
    Find out what your peers are saying about Databricks vs. Dundas BI and other solutions. Updated: January 2021.
    769,630 professionals have used our research since 2012.

    Databricks is ranked 1st in Data Science Platforms with 78 reviews while Dundas BI is ranked 21st in Data Visualization with 21 reviews. Databricks is rated 8.2, while Dundas BI is rated 8.6. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". On the other hand, the top reviewer of Dundas BI writes "Has a lot of integration and visualization options, but can't be easily used by business users, and working with the color palette is difficult". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas Dundas BI is most compared with Microsoft Power BI, Tableau, Logi Analytics, Angles Professional and Salient. See our Databricks vs. Dundas BI report.

    We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.