GoodData BI Platform
GoodData is a cloud-based business intelligence and analytics platform founded in 2009 and headquartered in San Francisco, California.
Publisher review
GoodData is a cloud-based business intelligence and analytics platform founded in 2009 and headquartered in San Francisco, California. It is designed primarily for mid-to-large enterprises and SaaS companies that need to embed analytics into their products or provide data-driven insights across multiple teams. The platform supports both SaaS and on-premises deployment options, offering flexibility for organizations with strict data residency or compliance requirements. GoodData was acquired by SAP in 2018, which has bolstered its enterprise credibility and integration capabilities, though it continues to operate as a distinct product within the SAP ecosystem.
The platform enables users to connect to multiple data sources, process data in real time, and build collaborative dashboards. Key capabilities include a semantic model that abstracts data complexity, allowing business users to create reports without SQL knowledge. GoodData supports real-time data processing for up-to-the-minute analytics, and its collaborative dashboard building lets multiple users work on the same report simultaneously. Integration with various BI tools, such as Tableau and Power BI, is supported through APIs and connectors, though the platform is often used as a standalone solution. Pricing starts at $10 per user per month, but scales based on the number of users, projects, and storage requirements, which can become costly for larger deployments.
In the competitive BI landscape, GoodData positions itself against Tableau, Qlik, Looker, and Microsoft Power BI. Unlike Tableau, which excels in ad-hoc visual analysis, GoodData focuses on embedded analytics and multi-tenant deployments, making it a strong choice for ISVs and enterprises that need to deliver white-labeled dashboards to customers. Compared to Looker, GoodData offers a more mature on-premises deployment option, but Looker's LookML modeling language provides deeper customization for data analysts. Power BI's lower cost and tight Microsoft ecosystem integration make it a more accessible option for small-to-medium businesses, while GoodData's higher price point and steeper learning curve for advanced features limit its appeal in that segment.
The honest trade-offs with GoodData include a steep learning curve for advanced features like custom metrics and complex data modeling, which can require dedicated training or consulting. The cost is higher than many competitors, especially for large user bases or high storage needs, and the free tier is limited to a single project with restricted functionality. Additionally, while the platform is scalable, performance can degrade with extremely large datasets if not properly optimized, and the reliance on a proprietary semantic model may lock users into GoodData's ecosystem. Despite these drawbacks, its strong security features, including row-level security and audit logs, make it a viable option for regulated industries like finance and healthcare.
How it works
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Cloud-based analytics
Delivers BI capabilities via the cloud, enabling access from anywhere without on-premises infrastructure, with both SaaS and on-premises options.
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Multi-source data connectivity
Connects to various data sources including databases, cloud apps, and flat files, supporting real-time data ingestion for up-to-date insights.
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Real-time data processing
Processes streaming data to provide live dashboards and alerts, allowing users to react to changes as they happen.
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Collaborative dashboard building
Enables multiple users to co-edit dashboards in real time, with version control and commenting to streamline team workflows.
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Embedded analytics
Allows embedding of dashboards and reports into external applications via APIs and iframes, supporting white-labeling for SaaS products.
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Semantic data modeling
Uses a business-oriented semantic layer to abstract data complexity, enabling non-technical users to create reports without SQL.
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Advanced security features
Provides row-level security, encryption at rest and in transit, and audit logs, meeting compliance requirements for regulated industries.
Strengths and trade-offs
Strengths
- Scalability to handle large datasets, supporting up to billions of rows of data in a single deployment.
- User-friendly interface with drag-and-drop dashboard creation, reducing the need for technical training for basic reporting.
- Advanced analytics capabilities including predictive modeling and what-if analysis, powered by built-in ML algorithms.
- Strong security features with row-level security and SOC 2 Type II certification, suitable for finance and healthcare compliance.
Trade-offs
- Steep learning curve for advanced features like custom metrics and complex data modeling, often requiring paid training.
- Higher cost compared to competitors like Power BI, with pricing starting at $10/user/month but escalating quickly for larger deployments.
- Limited free tier options, restricted to a single project with only 5 users and 1 GB of storage.
- Performance can degrade with extremely large datasets if not properly optimized, requiring careful data modeling and indexing.
Pricing context
Starts at $10 per user per month for basic plans, with costs scaling based on number of users, projects, and storage; enterprise pricing is custom and typically higher than competitors like Power BI.
Getting started with GoodData BI Platform
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Sign up for GoodData
Go to the GoodData website and click the Get Started button. Choose a plan that fits your needs, starting at $10 per user per month. Fill in your email and create a password to set up your account.
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Connect your data sources
In the GoodData workspace, navigate to the Data Integration section. Click Add Data Source and select from supported databases, cloud apps, or flat files. Enter connection details like host, port, and credentials to link your data.
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Model your data semantically
Use the semantic modeling tool to define business-friendly metrics and dimensions. Drag and drop fields from your connected data sources to create a logical model that abstracts SQL complexity for end users.
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Build a collaborative dashboard
Open the Dashboard Designer and drag visualizations onto the canvas. Add filters and metrics from your semantic model. Invite team members to co-edit in real time, using version control to track changes.
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Embed analytics into your app
Generate an embed code from the Share menu for your dashboard. Use the provided API or iframe snippet to integrate the dashboard into your external application. Configure white-labeling to match your brand.
Frequently Asked Questions
What is GoodData BI Platform used for?
GoodData is a cloud-based business intelligence platform for mid-to-large enterprises and SaaS companies. It helps embed analytics into products, connect multiple data sources, process data in real time, and build collaborative dashboards without requiring SQL knowledge.
How does GoodData pricing work and what does it cost?
GoodData pricing starts at $10 per user per month for basic plans. Costs scale based on the number of users, projects, and storage requirements. Enterprise pricing is custom and typically higher than competitors like Power BI, especially for larger deployments.
Can GoodData be deployed on-premises or only in the cloud?
GoodData supports both SaaS and on-premises deployment options. This flexibility allows organizations with strict data residency or compliance requirements to run the platform on their own infrastructure while still accessing cloud-based analytics capabilities.
How does GoodData compare to Tableau and Looker for embedded analytics?
GoodData focuses on embedded analytics and multi-tenant deployments, making it strong for ISVs needing white-labeled dashboards. Unlike Tableau's ad-hoc visual analysis, GoodData offers a mature on-premises option. Looker's LookML provides deeper customization, but GoodData's semantic model simplifies report creation.
What security features does GoodData offer for regulated industries?
GoodData provides row-level security, encryption at rest and in transit, audit logs, and SOC 2 Type II certification. These features meet compliance requirements for regulated industries like finance and healthcare, ensuring data protection and access control.
What are the main drawbacks of using GoodData?
GoodData has a steep learning curve for advanced features like custom metrics, often requiring paid training. Costs escalate quickly for large user bases, the free tier is limited to one project with 5 users, and performance can degrade with very large datasets if not optimized.
Alternatives
How GoodData BI Platform compares
Direct head-to-head against 3 competitors. Picked by 7wData.
GoodData BI Platform
- Pricing
- Starts at $10 per user per month for basic plans, with costs scaling based on number of users, projects, and storage; enterprise pricing is custom and typically higher than competitors like Power BI.
- Target
- GoodData is a cloud-based business intelligence and analytics platform founded in 2009 and headquartered in San Francisco, California.
- Strength
- Scalability to handle large datasets, supporting up to billions of rows of data in a single deployment.
- Watch for
- Steep learning curve for advanced features like custom metrics and complex data modeling, often requiring paid training.
Tableau
- Pricing
- Contact sales for pricing; Tableau Creator ~$75/user/month, Explorer ~$42/user/month, Viewer ~$15/user/month.
- Target
- Enterprise BI teams needing advanced visual analytics and self-service dashboards.
- Deployment
- Cloud, on-premises, or hybrid.
- Strength
- Best-in-class drag-and-drop visual analytics and broad data source connectors.
- Watch for
- Per-user pricing can escalate quickly with large viewer counts; complex licensing tiers.
Microsoft Power BI
- Pricing
- Pro $10/user/month, Premium Per User $20/user/month, Premium capacity from $4,995/month.
- Target
- Organizations deeply integrated with Microsoft ecosystem needing cost-effective BI.
- Deployment
- Cloud, on-premises (Power BI Report Server).
- Strength
- Seamless integration with Excel, Azure, and Microsoft 365 for broad adoption.
- Watch for
- Limited customization for embedded analytics; report performance can degrade with large datasets.
Sisense
- Pricing
- Contact sales for pricing; custom quotes based on deployment and usage.
- Target
- SaaS companies embedding analytics with complex data blending needs.
- Deployment
- Cloud, on-premises, or hybrid.
- Strength
- In-chip analytics engine enables fast query performance on large, blended datasets.
- Watch for
- Pricing is opaque and often requires a sales call; recent acquisition by Insight Partners may shift roadmap.
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Sources
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