Redash Pricing: Open-Source and Enterprise Hosting (2026)

Pricing overview

Redash operates on a dual-model pricing structure, offering both a free, open-source version for self-hosting and a custom-quoted enterprise solution for managed cloud deployments. The open-source platform allows users to deploy and manage Redash on their own infrastructure without direct licensing costs. This approach provides flexibility and control over data and environment, making it suitable for organizations with internal DevOps capabilities and specific security or compliance requirements. The self-hosted version includes core features such as data source connections, query execution, visualization creation, and dashboard compilation, all available without a subscription fee.

For organizations seeking a fully managed service, dedicated support, and potentially advanced features or integrations not present in the community version, Redash offers enterprise pricing. This model is based on a custom quotation, determined by factors such as the number of users, the volume of data processed, specific integration needs, and the required level of technical support. The enterprise offering is designed for larger organizations that prioritize operational simplicity, guaranteed uptime, and direct access to Redash's development team for support and feature requests. Pricing information for the enterprise tier is not publicly published and requires direct engagement with the Redash sales team to assess specific organizational requirements and provide a tailored proposal, as stated on the Redash help documentation.

Plans and tiers

Redash primarily distinguishes between its open-source self-hosted offering and its enterprise-managed solution. There are no publicly defined tiered plans with fixed prices; instead, the enterprise offering is customized.

Open-Source Self-Hosted

• Price: Free (licensing cost).
• Key Limits: No inherent software limits; operational limits are determined by the user's infrastructure and management capabilities. Users are responsible for hosting, maintenance, security, and scaling.
• Best For: Individuals, small teams, or organizations with technical expertise that prefer full control over their data infrastructure. Suitable for those who can manage server setup, database connections, and application updates independently.
• Features: Includes all core Redash functionalities: SQL query editor, multiple data source support, various visualization types (charts, pivot tables, cohorts), interactive dashboards, query scheduling, and API access for data retrieval and automation.

Enterprise (Managed Service)

• Price: Custom quote.
• Key Limits: Defined by the custom agreement, typically scaling with user count, data processing volume, and specific service level agreements (SLAs).
• Best For: Larger enterprises requiring a fully managed BI solution, dedicated technical support, high availability guarantees, and potentially specialized integrations or compliance certifications. Organizations that prefer to offload infrastructure management and focus solely on data analysis.
• Features: Encompasses all open-source features, usually with additional enterprise-grade capabilities such as enhanced security controls, single sign-on (SSO) integration, audit logging, advanced user management, and dedicated account management and support. Exact features can vary based on the custom agreement.

Plan Comparison Table

Free tier and limits

Redash offers a robust free tier through its open-source self-hosted version. This means that the core Redash application can be downloaded, installed, and run on private or cloud infrastructure without any licensing fees. This free tier is not a limited trial or a freemium model with feature restrictions; it is the complete, full-featured Redash platform as developed by the community.

The primary 'limits' of the Redash free tier are operational rather than functional. Users are responsible for:

• Infrastructure Costs: While the software is free, users must bear the costs associated with hosting it. This includes server instances (e.g., AWS EC2, Google Cloud Compute Engine, Azure Virtual Machines), database services (e.g., PostgreSQL for Redash's metadata), storage, and network bandwidth. These costs vary significantly based on the scale of deployment and chosen cloud provider.
• Maintenance and Operations: Users are responsible for installing, configuring, updating, and troubleshooting the Redash instance. This includes managing dependencies, applying security patches, monitoring performance, and ensuring data backups.
• Scaling: As the number of users or queries increases, users must manage the scaling of their Redash deployment, which may involve adding more resources or implementing load balancing.
• Support: Community support is available through forums and GitHub, but there is no guaranteed SLA or direct technical support unless an enterprise agreement is in place.

For example, hosting Redash on a basic cloud instance might incur costs ranging from $20 to $100+ per month for the infrastructure alone, depending on the provider and instance size. An external PostgreSQL database service for Redash's metadata could add another $10-$50+ monthly. These costs do not include the labor required for setup and ongoing management. For an overview of general cloud infrastructure costs, a resource like AWS pricing documentation can provide insight into typical component pricing.

Real-world cost examples

Estimating real-world costs for Redash depends heavily on the chosen deployment model:

Self-Hosted Open-Source Scenario (Small Team, 5-10 Users)

• Infrastructure: A small virtual private server (VPS) or cloud instance (e.g., AWS t3.medium, GCP e2-medium) for Redash application and a managed PostgreSQL database service (e.g., AWS RDS db.t3.micro, GCP Cloud SQL db-f1-micro).
• Estimated Monthly Infrastructure Cost: $50 - $150. This covers compute, database, and basic storage/network.
• Labor Costs: Assuming 5-10 hours/month for initial setup, updates, and occasional troubleshooting by an in-house developer or DevOps engineer. At an average loaded hourly rate of $75, this adds $375 - $750 monthly in labor.
• Total Estimated Monthly Cost: $425 - $900.
• Considerations: Costs can fluctuate with data volume, query complexity, and required uptime. Scaling up infrastructure will increase these expenses.

Self-Hosted Open-Source Scenario (Medium Team, 20-50 Users)

• Infrastructure: A larger cloud instance (e.g., AWS m5.large, GCP n2-standard-2) for Redash, potentially with load balancing, and a more robust managed PostgreSQL instance (e.g., AWS RDS db.t3.medium, GCP Cloud SQL db-g1-small).
• Estimated Monthly Infrastructure Cost: $200 - $500. This includes increased compute, database, and network resources.
• Labor Costs: An estimated 10-20 hours/month for a dedicated DevOps resource to manage scaling, performance tuning, security, and maintenance. At $75/hour, this adds $750 - $1,500 monthly.
• Total Estimated Monthly Cost: $950 - $2,000.
• Considerations: High availability setups, disaster recovery, and advanced monitoring will further increase infrastructure and labor costs.

Enterprise Managed Service Scenario (Any Size)

• Pricing Model: Custom quote.
• Typical Factors: The number of active users, the volume of data processed or stored, specific data source integrations, required SLAs for uptime and support response, and any custom development or feature requests.
• Example Range: While exact figures are proprietary, similar managed BI solutions for mid-to-large enterprises can range from several thousand dollars per month for a smaller deployment (e.g., 50-100 users) up to tens of thousands monthly for large-scale deployments with thousands of users and complex data environments.
• Benefits: Eliminates infrastructure management burden, provides dedicated support, potentially offers enhanced security and compliance features, and guarantees service levels. This option is typically priced to reflect the value of a fully managed, enterprise-grade solution.

How the pricing compares

Redash's pricing model, with its strong open-source offering, positions it distinctly against alternatives:

• Metabase: Like Redash, Metabase offers a free, open-source self-hosted version. Metabase also provides a Cloud (managed) version with tiered pricing based on features and support, starting at approximately $85/month for their Starter plan (5 users) and scaling up for higher tiers. Redash's enterprise offering is comparable to Metabase's Enterprise plan in terms of custom pricing and managed services, but Metabase provides clearer public pricing for its lower-tier cloud offerings.
• Grafana: Grafana is primarily known for its open-source monitoring and observability platform. It offers a free self-hosted version and Grafana Cloud, which includes a generous free tier for metrics, logs, and traces, with paid plans scaling by data usage and features. Grafana's focus is broader than Redash, encompassing operational dashboards beyond pure business intelligence. For BI-specific use cases, Redash offers a more direct comparison.
• Apache Superset: Another entirely open-source project, Apache Superset is similar to Redash in that its core offering is free to self-host. There is no official managed service directly from the Apache Software Foundation, though third-party vendors may offer hosting and support. This makes Superset's direct cost comparison to Redash's self-hosted model very similar, with both requiring internal resources for deployment and maintenance.
• Proprietary BI Tools (e.g., Tableau, Power BI): These tools typically operate on a subscription model, often priced per user per month. For example, Tableau Creator licenses are around $70/user/month, and Power BI Pro is $10/user/month. These tools often come with extensive features, dedicated support, and cloud infrastructure included. Redash's open-source model offers a significant cost advantage for organizations willing to self-host, while its enterprise offering competes on features and managed service benefits, often at a potentially lower total cost of ownership than high-end proprietary tools for equivalent functionality, depending on the custom quote.

In summary, Redash's open-source self-hosted option provides a cost-effective solution for organizations with the technical capacity to manage their own BI infrastructure. Its enterprise offering competes with other managed BI services by providing a custom-tailored solution, which can be advantageous for specific enterprise requirements where off-the-shelf tiers may not fit.