Home Business Intelligence GoodData vs. AWS Quicksight | GoodData

GoodData vs. AWS Quicksight | GoodData

GoodData vs. AWS Quicksight | GoodData


With the various analytics and enterprise intelligence (BI) choices on the market, choosing the proper one can really feel like fixing a puzzle. When evaluating potential analytics and BI instruments, you will seemingly want to contemplate if they’ll deal with each inner and exterior customers, ship excessive efficiency with the outcomes you need, and help you customise, scale, and embed analytics as wanted.

When evaluating the highest BI instruments, AWS QuickSight emerges as one such various to GoodData. Created by Amazon, AWS QuickSight is designed to work with different Amazon instruments and companies. In the meantime, GoodData is a cloud-based platform that helps organizations remodel knowledge into helpful insights. Each shine by way of scalability, efficiency, and customization, however let’s discover the important thing options of every.

What Is GoodData?

The GoodData platform is user-friendly, open, and scalable. It’s a good match for embedding analytics into SaaS merchandise, dealing with inner BI wants, or creating large-scale knowledge merchandise. GoodData incorporates generative AI to speed up the retrieval of data-driven insights (AI is a giant a part of the future imaginative and prescient for the platform).

GoodData's dashboard
A dashboard in GoodData

GoodData Use Instances

The platform eliminates the necessity for a number of product purchases by offering an entire expertise stack for firms throughout varied industries (software program firms, e-commerce, monetary companies, insurance coverage, and extra).

Typical use circumstances embody:

  • Embedded analytics for B2B firms to supply their prospects with insights, dashboards, and even embed analytics into their product, app, or net web page.
  • Utilizing the platform’s headless BI to supply constant, real-time metrics for purposes finish customers already use (AI/ML instruments like Jupyter Pocket book, BI instruments like Tableau or Energy BI).
  • Information visualization and reporting to ship customers with out-of-the-box or personalized knowledge visualizations and totally personalized stories.
  • AI-fueled analytics for all consumer personas, enabling them to work together with their analytics in probably the most environment friendly and straightforward method.

What Is AWS Quicksight?

AWS QuickSight, a part of Amazon Net Companies (AWS), made its debut in 2015, offering a cloud-based resolution for knowledge analytics and visualization. It’s designed to work easily with varied different AWS instruments, creating a sturdy setting for customers. However whereas it’s user-friendly for fundamental knowledge evaluation, tackling extra superior analytical duties might require a deeper degree of technical experience.

AWS Quicksight Dashboard

Dashboard in AWS Quicksight (useful resource: AWS Huge Information Weblog)

In 2021, AWS QuickSight launched QuickSight Q. This innovation introduced machine studying expertise and pure language question capabilities to the desk, boosting its capability to supply automated insights and knowledge tales to a various group of customers.

AWS Quicksight Use Instances

AWS QuickSight permits for automated report era and dashboard creation. The answer is appropriate for varied industries, corresponding to IT, finance, advertising, and training.

Widespread use circumstances for AWS Quicksight embody:

  • Embedded analytics for exterior makes use of the place firms have to ship analytics to their prospects.
  • Paginated stories to create, schedule, and share lengthy, advanced stories (at scale), and knowledge exports.
  • Generative BI to permit enterprise customers to work together with knowledge in pure language to create, work together with, and share stories.

What components do firms contemplate when selecting between GoodData and AWS Quicksight?

The principle components customers and prospects contemplate are setting/structure, efficiency, scalability, visualization/customization, embedding, and pricing. Let’s have a look at every of those in flip.


Each are cloud-based options that may be accessed from anyplace. They join to varied knowledge sources, which you’ll discover of their documentation (GoodData and AWS QuickSight). In case you occur to have a database that is not listed, AWS QuickSight lets you hyperlink or import knowledge via supported sources, whereas GoodData connects by way of knowledge supply managers like Apache Drill and Dremio.

AWS Quicksight architecture

AWS Quicksight structure (useful resource: Medium)

Each platforms present choices to change knowledge fashions. AWS QuickSight permits adjustments inside the analytics interface, whereas GoodData gives a number of strategies utilizing APIs or Python SDKs.

Architecture of GoodData platform
GoodData structure

What units them aside?

AWS QuickSight simply integrates with Amazon companies, which is nice for present Amazon customers. Nonetheless, integrating with exterior non-Amazon instruments may be difficult.

The GoodData platform stands out for its adaptability and straightforward integration with a number of exterior instruments. The platform additionally gives different superior options which will make it extra engaging within the analytics and BI market:

  • “As code” strategy that includes software program improvement finest practices to develop and combine new options and plugins, check them out, and guarantee their launch is easy and computerized.
  • Integration of Giant Language Fashions (LLMs) for AI-powered analytics. This enables your prospects to summarize data, generate content material, and make predictions main to raised knowledge understanding and higher determination making.
  • API-first platform ensures firms can share constant metrics throughout purposes whereas supporting software program improvement finest practices.

GoodData vs. AWS Quicksight: Efficiency

Each options prioritize excessive efficiency and make use of superior caching mechanisms for often accessed knowledge.

In GoodData this characteristic is named FlexCache. Constructed on Apache Arrow, it encompasses storage, computation, semantics, and BI. In AWS QuickSight, the caching mechanism is named SPICE (Tremendous-fast, Parallel, In-memory Calculation Engine).

The variations between them are:

  • Person expertise: GoodData delivers ends in simply two milliseconds. AWS Quicksight has limitations when coping with in depth knowledge, which suggests compromised analytics efficiency and slower outcomes when creating drag-and-drop insights from giant datasets.
  • Setup: GoodData depends on APIs for configuration, whereas AWS Quicksight gives a extra user-friendly interface for setup and customization via its analytics portal.

GoodData vs. AWS Quicksight: Scalability

GoodData and AWS Quicksight are extremely scalable by way of consumer base and use circumstances. Each can deal with adjustments throughout a broad viewers, streamlining the method of creating updates and increasing entry throughout workspaces for various consumer teams.

GoodData possesses multi-tenant structure with workspace hierarchies, which helps to realize scalability whereas holding prices low:

  • Customers are organized into consumer teams and a number of customers can entry a single workspace, resulting in price financial savings.
  • There are extra permissions out there: VIEW, ANALYZE, MANAGE, SHARE, EDIT,  USE, throughout varied entities like knowledge sources, workspaces, dashboards, and your entire group.
  • Presently, the multi-tenant setting is ready up via APIs (every consumer setup may be finished by way of one API name). Prospects may also be capable of discover the setup within the UI quickly.
GoodData Workspace Hierarchy
Workspace hierarchy in GoodData

AWS QuickSight lacks a built-in characteristic for simply increasing the consumer base or enabling multitenancy:

  • Prospects can scale their consumer base by creating separate accounts, areas, namespaces, or consumer teams, or by managing namespaces.
  • To realize multitenancy, firms want extra AWS merchandise and a deep understanding of AWS knowledge roles and permissions, together with some additional improvement work to filter knowledge for evaluation.
  • There are restricted choices for assigning permissions (admin, writer, and reader).
  • The complete setup is completed within the AWS Quicksight analytics portal or by way of APIs.

GoodData vs. AWS Quicksight: Visualization and Customization

Each instruments present visualization capabilities and customizable choices. Nonetheless, GoodData gives extra in depth decisions and totally customizable choices:

  • Enterprise customers can use drag-and-drop to effortlessly generate insights and dashboards, whereas extra technical customers can create them by way of APIs and SDKs.
  • Customers can click on, filter, drill down, zoom in, and transfer round their visualizations to shortly discover solutions to particular questions.
  • When creating metrics (that are then reused in dashboards), customers can simplify the method through the use of MAQL, a language just like SQL however extra easy.
  • Customers can select from a variety of visualization sorts. If it’s essential transcend the usual choices you should utilize  React SDK for full customization.
Custom data visualizations
Examples of fully-customized knowledge visualizations

Compared, AWS Quicksight’s out-of-the-box visualization instruments and customization choices are considerably restricted:

  • Solely customary visualization sorts can be found, making it problematic when extra personalized visualizations are required to serve user-specific wants.
  • Creating metrics is harder: narratives are created utilizing advanced technical expressions.
  • After experiencing AWS Quicksight, customers usually follow Tableau.

GoodData vs. AWS Quicksight: Embedding

As a number one embedded analytics supplier, GoodData gives varied embedding strategies for exterior and inner use circumstances. Analytics and visualizations may be instantly built-in into net purposes by way of Iframe, Net Elements, or React SDK.

GoodData can be recognized for its programmatic embedding. This gives customers with the flexibleness to decide on between out-of-the-box visualizations or totally personalized – all managed seamlessly via code. You possibly can both use everlasting elements, select a chart kind and regulate it to your wants, or create a customized visualization by way of code utilizing uncooked knowledge to completely match your software look and model.

Embedding in GoodDara
Embedding by way of React SDK: customized software instance

AWS QuickSight additionally gives embedding by way of iFrame and SDKs**,** however permits the embedding of Pure Language Querying (NLQ) into customers’ purposes, offering outcomes and explanations in user-friendly language.

Embedding NLQ into AWS Quicksight dashboards

Embedding NLQ into Dashboards with AWS Quicksight (useful resource: AWS Amazon Weblog

GoodData vs. AWS Quicksight: Pricing

The 2 options present varied pricing choices. Each provide pricing fashions for inner use circumstances, which primarily goal organizations with per-user pricing. GoodData’s pricing additionally features a startup tier designed to accommodate startups/small companies, permitting them to scale as they go.

For exterior use circumstances, AWS Quicksight adopts per-session pricing, which may be unpredictable — estimating consumer question numbers is notoriously arduous. To optimize price and efficiency, customers may also make the most of Amazon CloudWatch, however this service comes with an extra charge. To make use of superior applied sciences, like Quicksight Q for ML or alerting, extra expenses additionally apply.

GoodData’s per workspace pricing is right for firms working within the B2B market or the place a number of stakeholders exist. Charging based mostly on the variety of workspaces gives price financial savings in comparison with per-user or per-session charges.

Why do firms select GoodData over AWS Quicksight?

In abstract, there are a number of explanation why firms determine to go along with GoodData:

  • Surroundings: GoodData operates independently, whereas AWS QuickSight belongs to the Amazon ecosystem. Because of GoodData’s API-first strategy, every object may be accessed and managed by way of APIs.
  • Efficiency: Each have excessive efficiency, however AWS QuickSight might have points with giant datasets.
  • Scalability: Each deal with scalability effectively, however AWS QuickSight depends on extra AWS companies, whereas GoodData gives a extra user-friendly resolution with extra setup prospects (permissions to totally different entities) and fast setup with one API name.
  • Visualization and customization: GoodData gives a wider vary of visualization and customization choices.
  • Embedding: With AWS Quicksight you may embed NLQ into your apps, however GoodData gives superior embedding analytics with totally customizable insights and dashboards,
  • Pricing: AWS Quicksight gives a much less predictable per-session pricing mannequin. GoodData goes with the per workspace mannequin, promising price financial savings.

As well as, the GoodData platform will see a number of AI and ML applied sciences included into it, providing AI/ML capabilities for all analytics customers (no matter ability degree). A few of these capabilities are already within the beta testing stage (contact help for extra data).

Subsequent Steps With GoodData

Nonetheless hesitating between GoodData and AWS Quicksight? Strive our free trial and see for your self. Have questions or need to see real-time use circumstances? Request a demo, and our group will information you thru the platform.

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