Amazon QuickSight vs Databricks comparison

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Amazon Web Services (AWS) Logo
15,869 views|14,269 comparisons
56% willing to recommend
Databricks Logo
28,492 views|18,008 comparisons
96% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon QuickSight and Databricks based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Tableau, Oracle and others in BI (Business Intelligence) Tools.
To learn more, read our detailed BI (Business Intelligence) Tools Report (Updated: May 2024).
772,017 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
"From an analytics perspective, it's really good for self-service analytics.""It helped the managers to visualize the data activities.""The most valuable feature of Amazon QuickSight is its connectivity with other Amazon services.""The integration is very seamless. We stored our result CSV files in S3 and connected directly from there.""I like that with Amazon QuickSight, you don't need to install an app to use its services. With other BI tools, you need to install the app, so Amazon QuickSight is better for me in this area.""Amazon QuickSight can provide insights from the available data. It supports various rule types. We get the options of machine learning and insights, which are not available in other intelligence tools. It is easier to use, more stable, and cheaper than other solutions.""One of the most valuable features of Amazon QuickSight has been the speed at which visualizations can be created.""Compared to other reporting tools, it is very effective but does require an understanding of certain concepts in QuickSight. This understanding is crucial for creating dimensions, changing metrics, and visualizing reports."

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"We can scale the product.""The most valuable feature of Databricks is the integration with Microsoft Azure.""The initial setup phase of Databricks was good.""The ability to stream data and the windowing feature are valuable.""Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform.""It's easy to increase performance as required.""The initial setup is pretty easy.""Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."

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Cons
"It can be made more user-friendly as some users might find this solution hard to implement. Qlik Sense, for example, is very user-friendly.""Lacked connectivity with other third-party tools and data sources.""It should support integration with Python or R.""There is room for improvement in terms of the number of visualizations and dashboards that are available.""It's not ideal for reports that are more complex.""You can't tell a data story as well in QuickSight as you can on others, especially in TIBCO Spotfire.""The solution must be more user-friendly.""The number of features in the product is limited in comparison with the other tools in the market, like Power BI."

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"There would also be benefits if more options were available for workers, or the clusters of the two points.""The interface of Databricks could be easier to use when compared to other solutions. It is not easy for non-data scientists. The user interface is important before we had to write code manually and as solutions move to "No code AI" it is critical that the interface is very good.""It should have more compatible and more advanced visualization and machine learning libraries.""Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists.""I would like more integration with SQL for using data in different workspaces.""There should be better integration with other platforms.""This solution only supports queries in SQL and Python, which is a bit limiting.""Costs can quickly add up if you don't plan for it."

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Pricing and Cost Advice
  • "I wouldn't say that it is an expensive product, but to stay competitive they would need to bring down the prices."
  • "It is simpler and cheaper than other solutions."
  • "Amazon QuickSight you subscribe and you use the service."
  • "The standard edition is free to use for exploration purposes while the enterprise edition needs to be paid for. The pricing for this solution is very reasonable."
  • "The Amazon QuickSight licensing model my company's on is pay-as-you-go, but I wouldn't be able to give the figures because that's handled by the finance department."
  • "I'm using a paid version of Amazon QuickSight, paying about $22 monthly. As I have yet to learn about the pricing for other tools, such as Power BI, I won't be able to compare."
  • "The pricing is cost-effective with a good plan."
  • "A highly affordable cost structure with fixed membership and timeframe basis options."
  • More Amazon QuickSight 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 →

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    Questions from the Community
    Top Answer:The integration is very seamless. We stored our result CSV files in S3 and connected directly from there.
    Top Answer:My company had a corporate discount and other arrangements, so I'm not familiar with the standard pricing.
    Top Answer:Compared to Power BI, I felt QuickSight lacks some features, like delayed drill-downs. Drill-downs were the main area where we found QuickSight lacking. Especially for root cause analysis, the ability… more »
    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 »
    Ranking
    Views
    15,869
    Comparisons
    14,269
    Reviews
    16
    Average Words per Review
    498
    Rating
    7.1
    1st
    Views
    28,492
    Comparisons
    18,008
    Reviews
    47
    Average Words per Review
    441
    Rating
    8.3
    Comparisons
    Also Known As
    QuickSight
    Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
    Learn More
    Overview

    Amazon QuickSight is a fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. Using our cloud-based service you can easily connect to your data, perform advanced analysis, and create stunning visualizations and rich dashboards that can be accessed from any browser or mobile device.

    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.”

    Sample Customers
    MLB Advanced Media, Infor, HotelBeds, Gemini, Jivochat, Edmunds.com
    Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
    Top Industries
    REVIEWERS
    Computer Software Company40%
    Financial Services Firm20%
    University7%
    Educational Organization7%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm14%
    Manufacturing Company7%
    Government6%
    REVIEWERS
    Computer Software Company25%
    Financial Services Firm16%
    Retailer9%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company12%
    Manufacturing Company9%
    Healthcare Company6%
    Company Size
    REVIEWERS
    Small Business13%
    Midsize Enterprise30%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise14%
    Large Enterprise64%
    REVIEWERS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise59%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise71%
    Buyer's Guide
    BI (Business Intelligence) Tools
    May 2024
    Find out what your peers are saying about Microsoft, Tableau, Oracle and others in BI (Business Intelligence) Tools. Updated: May 2024.
    772,017 professionals have used our research since 2012.

    Amazon QuickSight is ranked 4th in BI (Business Intelligence) Tools with 24 reviews while Databricks is ranked 1st in Data Science Platforms with 78 reviews. Amazon QuickSight is rated 6.8, while Databricks is rated 8.2. The top reviewer of Amazon QuickSight writes "Useful for developing dashboards for various lines of business". On the other hand, the top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". Amazon QuickSight is most compared with Microsoft Power BI, Tableau, Looker, Google Data Studio and SAP Analytics Cloud, whereas Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio.

    We monitor all BI (Business Intelligence) Tools 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.