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GoodData VS StackGres

Compare GoodData VS StackGres and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

GoodData logo GoodData

GoodData provides a cloud-based platform that enables more than 6,000 global businesses to monetize big data. The fastest and safest way to optimize client operations with embedded agentic AI.

StackGres logo StackGres

Fully-featured platform for running PostgreSQL on Kubernetes
  • GoodData Landing page
    Landing page //
    2023-09-26

GoodData is an AI-native analytics platform, built for speed, scale and trust. It enables organisations to embed agentic AI into their data-stack, deliver governed insights in real time, and integrate seamlessly into any environment.

With GoodData you get the full data-intelligence cycle โ€” from integration and modelling through to visualization and production-ready AI agents โ€” all accessible via APIs, SDKs and no-code interfaces.

At the heart of the platform is a code-defined semantic layer that transforms raw data into consistent business concepts, metrics and logic, grounding every insight and agentic interaction in governance and trust.

Extendable across public and private cloud, on-premises or hybrid deployments, GoodData works where your infrastructure lives โ€” developer-friendly, embeddable, and built to scale.

Today, GoodData powers thousands of organisations and millions of users who depend on it to turn data into embedded, actionable intelligence.

  • StackGres Landing page
    Landing page //
    2022-05-20

GoodData features and specs

  • Scalability
    GoodData is designed to handle large volumes of data, making it suitable for organizations of all sizes. It can scale as your data needs grow, ensuring consistent performance.
  • Advanced Analytics
    Offers a wide range of advanced analytical tools and functionalities, enabling users to perform in-depth data analysis and derive actionable insights.
  • Ease of Use
    The platform provides an intuitive and user-friendly interface that makes it easy for users, even those without technical expertise, to create reports, dashboards, and visualizations.
  • Integration Capabilities
    GoodData integrates with various data sources and business applications, allowing seamless data import and export and the ability to work within existing workflows.
  • Customizability
    Offers flexible customization options to tailor dashboards and reports according to specific business needs and branding requirements.
  • Security
    Features robust security measures, including compliance with global standards, to protect sensitive data and ensure regulatory compliance.
  • Support
    Provides comprehensive customer support and resources, including documentation, tutorials, and a dedicated support team to assist with any issues.

Possible disadvantages of GoodData

  • Cost
    GoodData can be expensive, particularly for small and medium-sized businesses, which may find the pricing model challenging to justify against their budget.
  • Complexity for Beginners
    While the platform is generally user-friendly, some advanced features may have a steep learning curve for beginners or users without a technical background.
  • Custom Coding Required
    In some cases, achieving more complex customizations and integrations may require coding knowledge, which could be a limitation for non-technical teams.
  • Limited Offline Access
    Access to GoodDataโ€™s platform is primarily cloud-based, which may pose challenges for users needing offline access to data and analytics.
  • Performance Issues
    Some users have reported performance issues when dealing with extremely large datasets, which may affect the speed and responsiveness of the platform.
  • Dependency on Cloud
    As a cloud-based solution, GoodDataโ€™s performance and accessibility are dependent on a stable internet connection, which may be a limitation in areas with unreliable connectivity.
  • Integration Limitation
    Despite strong integration capabilities, there may be limitations when integrating with less common or proprietary systems, requiring additional development efforts.

StackGres features and specs

  • Integrated PostgreSQL Management
    StackGres provides a comprehensive suite for managing PostgreSQL clusters, simplifying configuration, deployment, and maintenance.
  • Scalability
    StackGres supports dynamic scaling of PostgreSQL clusters, allowing for flexible resource allocation based on workload demands.
  • Kubernetes Native
    Built on Kubernetes, StackGres leverages its powerful orchestration capabilities for high availability and container management.
  • Security Features
    Includes advanced security features like SSL/TLS, authentication, and role-based access control to safeguard data and connections.
  • Monitoring and Alerting
    Comes with integrated monitoring and alerting tools, providing insights into database performance and health metrics.

Possible disadvantages of StackGres

  • Complexity
    The Kubernetes-based environment can introduce complexity for users unfamiliar with container orchestration and management.
  • Resource Intensive
    Running StackGres requires significant computational resources, which might be overkill for small-scale or less demanding applications.
  • Learning Curve
    New users may face a steep learning curve in mastering StackGres for effective management of PostgreSQL in a Kubernetes environment.
  • Cost Considerations
    While powerful, using Kubernetes and associated resources for StackGres can lead to higher operational costs.
  • Dependency on Kubernetes
    Requires a functional Kubernetes cluster, which might be a barrier for organizations not currently using Kubernetes.

Analysis of GoodData

Overall verdict

  • GoodData is generally considered a good option for businesses looking for a comprehensive analytics platform. It is well-suited for companies seeking to leverage data to drive business decisions and improve efficiency. However, as with any tool, the effectiveness of GoodData can vary based on specific organizational needs and requirements.

Why this product is good

  • GoodData is a cloud-based business intelligence and analytics platform that allows users to create, analyze, and share insights from their data. It is praised for its robust data processing capabilities, scalability, and ease of integration with various data sources. Users often appreciate the intuitive interface and the ability to create custom reports and dashboards.

Recommended for

  • Businesses looking to harness the power of data analytics without heavy IT involvement.
  • Organizations that require scalability and flexibility in their data analysis tools.
  • Companies that need to integrate data from multiple sources and create custom dashboards.

GoodData videos

+ Add

GoodData Analytical Designer

More videos:

  • Review - GoodData Web Modeler [EN]
  • Review - GoodData Webinar

StackGres videos

No StackGres videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to GoodData and StackGres)

GoodData

StackGres

Business Intelligence
100 100%
Business Intelligence
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Developer Tools
0 0%
Developer Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare GoodData and StackGres

GoodData Reviews

  1. Guest

    A cloud-based end-to-end analytics Platform - headless BI - Data as a Service

    ๐Ÿ Competitors: Kyligence Zen
Embedded analytics in B2B SaaS: A comparison
A few options were disregarded from the start due to a hefty price tag, these were Looker, Tableau, Power BI, GoodData. A few options like Trevor.io, Preset, Observable were disregarded as they did not seem to fit our criteria (based on the evaluation matrix).
Source: medium.com
Top 10 Data Analysis Tools in 2022
GoodData The platform can be used to embed dashboards with options for coding and no coding. The Growth of GoodData plan costs $20/month/workspace. The Enterprise plan has custom pricing. GoodData embedded analytics is an essential tool for software as a service (SaaS) platforms to bring insights and visuals directly to the end users. However, it might be difficult to use...
Source: www.spiceworks.com
10 Best Big Data Analytics Tools For Reporting In 2022
GoodData is a big data analytics platform that provides users the tools, runtimes, and storage for data ingestion, preparation, transformation, and analytic queries. They boast 50+ connectors for data ingestion/synchronization and offer an Agile data warehousing system on higher tier plans. Their per-workspace pricing model lets unlimited users access sets of data models,...
Source: theqalead.com
25 Best Reporting Tools for 2022
GoodData is a web-based service. The tool can help you track sales, marketing, social media, and customer service activities. You may deliver completely managed insights with this tool.
Source: hevodata.com

StackGres Reviews

We have no reviews of StackGres yet.
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Social recommendations and mentions

Based on our record, StackGres seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

GoodData mentions (0)

We have not tracked any mentions of GoodData yet. Tracking of GoodData recommendations started around Mar 2021.

StackGres mentions (10)

  • TimescaleDB compresses time-series data
    At StackGres [1] we find Timescale to be one of the most used extensions. Timescale is quite a successful project! StackGres is actually the first solution recommended by Timescale for self-hosting with Kubernetes operators [2]. So if you are into Kubernetes (or if not, consider it, using something like K3s [3] is quite straightforward and lightweight on resources), this is probably a great option to self-host... - Source: Hacker News / 19 days ago
  • Show HN: SQL-tap โ€“ Real-time SQL traffic viewer for PostgreSQL and MySQL
    * Latency. Yes, yes, yes, they add "microseconds" vs "milliseconds for queries", and that's true, but just part of the story. There's an extra hop. There's two extra sets of TCP layers being traversed. If the hop is local (say a sidecar, as we do in StackGres) it adds complexity in its deployment and management (something we solved by automation, but was an extra problem to solve) and consumes resources. If it's a... - Source: Hacker News / 5 months ago
  • Application Less Containers
    This is conceptually similar to what we did for Postgres extensions at the StackGres [1] project. I gave a talk at a Kubecon about it [2]. However, this scheme is not perfect. Some Kubernetes security solutions enforce immutable containers, and once the agent pulls any additional file into the container, it will be flagged. It's also harder to reason about the security of the image (think CVEs, etc), given that... - Source: Hacker News / 11 months ago
  • Pg_lakehouse: Query Any Data Lake from Postgres
    I applaud the decision to use AGPL-3.0. For me, it's a license that provides forward guarantees to the Community: no proprietary forks can happen, so any fork will be an OSS fork from which the upstream project may benefit too, which benefits all users. That's the reason we chose this license for StackGres [1], another project in the Postgres space. [1]: https://stackgres.io. - Source: Hacker News / about 2 years ago
  • Keycloak with PostgreSQL on Kubernetes
    This is good and interesting recipe to get Keycloak and Postgres on Kubernetes. There is an important improvement, though: the Postgres deployed here is not production ready (high availability, backups, monitoring, etc). We run Keycloak on StackGres [1] which gives us production-ready Postgres setup (disclaimer: it's dogfooding). Happy to share the YAML manifests used to deploy Keycloak with StackGres. Maybe we... - Source: Hacker News / about 3 years ago
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What are some alternatives?

When comparing GoodData and StackGres, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiencesโ€”so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

Domo - Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.

TiDB - A distributed NewSQL database compatible with MySQL protocol

Sisense - The BI & Dashboard Software to handle multiple, large data sets.

Google Cloud Spanner - Google Cloud Spanner is a horizontally scalable, globally consistent, relational database service.

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