What is GoodData Platform?

The GoodData Platform is a multi-tenant analytics platform designed to capture and load data from multiple sources. It facilitates the creation of metrics, reports, and dashboards through a cloud-based analytics tool. Targeted at business consumers, analytics engineers, and developer teams, it supports the development and use of scalable data products with AI acceleration.

Architecture and Scalability

GoodData's architecture is built for organizations aiming to scale analytics solutions across numerous teams or clients. It leverages a multi-tenant architecture, allowing for the separation and management of data across different workspaces. This architecture unifies data analytics and business metrics across an organization.

Integration and Customization

Integrating seamlessly with existing infrastructure, GoodData provides a customizable experience with extensive APIs and SDKs for automation and third-party application integration. It supports OAuth 2.0 and OpenID Connect for authentication and allows for the use of existing credentials from various identity providers.

Analytics and AI Features

GoodData incorporates AI into its analytics, featuring tools such as FlexQuery and an Analytics Lake. These enable in-memory computation and the governance of large volumes of data. Its platform also offers AI-powered forecasting and natural language querying, enhancing the analytical capabilities for users.

Developer Tools and Community

Developers are equipped with code-based tools, a Python SDK, and integration with CI/CD pipelines to manage analytics environments. GoodData supports collaboration among DevOps, DataOps, and BI teams. It further fosters a community through resources like a Slack channel, comprehensive documentation, and hands-on tutorials via GoodData University.

Data Governance and Security

With a proactive security strategy, GoodData ensures data protection through a multi-layered security approach. It adheres to specific regulatory requirements relevant to customer industries and locales, continuously monitoring and improving its security processes.

What is Altair Panopticon?

Altair Panopticon is a data visualization and real-time streaming analytics platform. It allows businesses to build interactive dashboards, visualize large volumes of data, and make decisions based on real-time insights. Unlike the GoodData Platform, which focuses on end-to-end analytics with AI-acceleration and a comprehensive suite of tools for building scalable data products, Altair Panopticon emphasizes real-time data visualization capabilities.

The platform supports a variety of data sources and is designed to handle high-speed, high-volume data streams. It provides users with the ability to detect patterns, anomalies, and trends as they happen. Altair Panopticon is utilized across various industries for applications such as financial trading, telecommunications, and industrial IoT.

Its key features include advanced data visualization techniques, a user-friendly interface for creating dashboards, and the ability to handle large datasets efficiently. Altair Panopticon aims to provide operational intelligence by integrating real-time streaming data with historical data analysis.

GoodData Platform vs Altair Panopticon

Ranking in Data Visualization

GoodData is ranked 29th in Data Visualization, slightly ahead of Altair Panopticon, which holds the 31st position. This suggests that GoodData may have a marginal edge in the Data Visualization market relative to Altair Panopticon.

User Ratings

GoodData has a user rating of 7.0, indicating a positive reception from its users. In contrast, Altair Panopticon has a rating of 0.0, which could imply a lack of user feedback or a lower satisfaction level.

Comparisons with Other Services

Altair Panopticon is most frequently compared with Tableau, a leading tool in the industry, suggesting it is considered by users evaluating high-end visualization solutions. GoodData, on the other hand, is most compared with Apache Superset, Microsoft Power BI, and AtScale Adaptive Analytics (A3), indicating its consideration in a diverse range of data analytics and visualization scenarios.

Frequently Asked Questions

Which is ranked higher in Data Visualization, GoodData Platform or Altair Panopticon?

GoodData Platform is ranked higher at 29th compared to Altair Panopticon which is ranked 31st in Data Visualization.

What are the ratings of GoodData Platform and Altair Panopticon?

GoodData has a rating of 7.0, whereas Altair Panopticon has a rating of 0.0.

Which platforms is Altair Panopticon most compared with?

Altair Panopticon is most compared with Tableau.

What are the platforms that GoodData is most compared with?

GoodData is most compared with Apache Superset, Microsoft Power BI, and AtScale Adaptive Analytics (A3).

Is there a difference in user ratings between GoodData Platform and Altair Panopticon?

Yes, there is a difference in user ratings. GoodData Platform has a user rating of 7.0, while Altair Panopticon has a user rating of 0.0.

GoodData Platform vs Altair Panopticon: Considering Sourcetable as an Alternative

Exploring alternatives in the analytics landscape, Sourcetable emerges as a practical choice against the advanced, developer-centric GoodData Platform. Sourcetable's ability to integrate multiple data sources into a user-friendly, spreadsheet-like interface positions it as an accessible option for real-time data querying and manipulation.

While GoodData excels in applying software development best practices to analytics with its Analytics as Code (AaC) framework, Sourcetable caters to users seeking simplicity and the familiarity of spreadsheet operations. Its ease of use is a stark contrast to the more complex features of GoodData's unique architecture, appealing to a broader range of business stakeholders.

For teams prioritizing straightforward self-service visualization without the need for extensive engineering expertise, Sourcetable serves as a compelling alternative. The platform's focus on aggregating data for immediate analysis aligns with the needs of users who prioritize efficiency and simplicity in their data interaction.