Announcing DataBrain's Trino Connector: Federated Analytics Across Your Data Sources

Your data lives everywhere - PostgreSQL for transactions, S3 for archives, MongoDB for events, Snowflake for analytics. But your customers expect unified dashboards that pull insights from all of it, without the lag of batch ETL or the complexity of custom integrations.

Here's the challenge: DataBrain workspaces connect to a single datasource. Need to combine customer data from PostgreSQL with usage logs from MongoDB and financial data from Snowflake? Previously, you'd need complex ETL pipelines to consolidate everything into one database first.

Trino changes everything. As the industry-leading distributed SQL query engine, Trino acts as a single connection point that federates queries across dozens of underlying datasources using standard SQL—no data movement, no replication, no middleware. Now, with DataBrain's Trino integration, you connect once to Trino and instantly access your entire data ecosystem, embedding real-time, federated dashboards directly into your SaaS product.

Why DataBrain + Trino Transforms Embedded Analytics

The DataBrain-Trino integration combines the power of distributed query processing with purpose-built technologies for SaaS companies embedding customer-facing analytics:

Break Free From Single-Datasource Limitations

DataBrain's architecture connects each workspace to one datasource—a design choice that ensures simplicity and security for most use cases. But what happens when your embedded analytics need to span multiple systems?

Trino is your single connection that unlocks unlimited datasources. Here's how it works:

• One connection, infinite sources: Connect your DataBrain workspace to Trino, and Trino federates queries across PostgreSQL, MySQL, MongoDB, Cassandra, S3, Snowflake, BigQuery, and 50+ other sources—all through one unified interface.
• No ETL required: Stop building and maintaining complex data pipelines to consolidate data into a single warehouse. Query each source directly where it lives.
• Live, unified dashboards: Your embedded analytics can now show real-time data from across your entire stack—operational databases, data lakes, cloud warehouses, and more—in a single dashboard view.

This architectural pattern is transformative for SaaS companies: instead of replicating data into a monolithic warehouse, you use Trino as an intelligent query router that DataBrain connects to.

Join Across OLTP and OLAP Systems in Real-Time

One of Trino's most powerful capabilities for embedded analytics is cross-source joins—combining operational (OLTP) and analytical (OLAP) data in a single query:

Real-world example: Imagine you're building a customer health dashboard that shows:

• Customer profile data from PostgreSQL (OLTP - your application database)
• Product usage events from MongoDB (operational data store)
• Historical revenue trends from Snowflake (OLAP - your data warehouse)
• Support ticket volumes from Zendesk API (via Trino connector)

Without Trino, you'd need to:

1. Extract data from each system via scheduled ETL jobs
2. Transform and load into a central warehouse
3. Wait for batch processing (minutes to hours of latency)
4. Build and maintain complex data pipelines

With Trino + DataBrain: You write one SQL query that joins across all four sources in real-time, and DataBrain renders it as an embedded dashboard. No data movement, no latency, no pipeline maintenance.

1-- Example: Join operational and analytical data across systems
2SELECT   c.customer_id, 
3c.company_name,  
4COUNT(u.event_id) as monthly_events,  
5SUM(r.revenue) as total_revenue, 
6COUNT(t.ticket_id) as support_tickets
7FROM postgresql.prod.customers c 
8LEFT JOIN mongodb.analytics.usage_events u
9ON c.customer_id = u.customer_id
10LEFT JOIN snowflake.warehouse.revenue r
11ON c.customer_id = r.customer_id 
12LEFT JOIN zendesk_api.tickets t 
13ON c.email = t.customer_email
14WHERE u.event_date >= CURRENT_DATE - INTERVAL '30' DAY
15GROUP BY c.customer_id, c.company_name;

This capability is critical for customer-facing analytics because:

• Operational freshness: Show live application state, not yesterday's warehouse snapshot
• Complete context: Combine transactional detail with historical trends
• Reduced infrastructure: No need to replicate OLTP data into expensive OLAP systems just for analytics

Why This Matters for Embedded Analytics

Traditional analytics tools force you to choose: either build complex ETL to centralize data, or embed limited single-source dashboards. Trino + DataBrain gives you a third option—federated embedded analytics:

• Faster time-to-market: Launch multi-source analytics features in days instead of months spent building data pipelines.
• Lower infrastructure costs: Eliminate redundant data storage and ETL maintenance. Query production databases directly without impacting performance (Trino handles query load).
• Always-current insights: Your customers see live operational data, not stale warehouse snapshots refreshed on batch schedules.
• Simplified architecture: Replace complex microservices and custom APIs with a single Trino cluster and DataBrain connection.
• Better customer experience: Deliver complete dashboards that answer real questions by combining all relevant data sources, not just what you've managed to ETL so far.

For product teams, this means you can embed analytics that span your entire data landscape—application databases, event streams, cloud warehouses, third-party APIs—without the engineering overhead that typically makes multi-source analytics prohibitively expensive.

Enterprise-Grade Performance for Distributed Queries

DataBrain's connector implements advanced optimizations that maximize Trino's distributed query performance:

• Intelligent query pushdown that moves computation to the data source whenever possible, reducing network transfer and accelerating query response times by up to 10x.
• Adaptive query planning that analyzes data distribution patterns and automatically optimizes join orders and aggregation strategies for your specific workload.
• Smart caching layers with configurable TTLs that store frequently accessed query results, dramatically reducing load on source systems and cutting costs for high-traffic dashboards.
• Parallel query execution across worker nodes that scales horizontally as your data volume and user base grow, maintaining sub-second response times.

Multi-Tenant Security for SaaS Applications

DataBrain's Trino connector was architected specifically for multi-tenant SaaS environments:

• Row-level security enforcement applied at query execution time, ensuring each customer sees only their data—even when querying across multiple federated sources.
• Tenant isolation without data duplication, allowing you to serve thousands of customers from shared infrastructure while maintaining strict security boundaries.
• Fine-grained access control that inherits your application's permission model, eliminating the need to maintain separate security layers for analytics.
• Query audit logging that tracks all data access for compliance requirements, essential for GDPR, SOC 2, and HIPAA-compliant applications.

Open Source Flexibility Without Vendor Lock-In

Unlike proprietary database systems, Trino's open-source foundation gives you complete control:

• Deploy anywhere—on-premises, AWS, GCP, Azure, or hybrid environments—without licensing restrictions or vendor dependencies.
• Cost predictability with transparent compute pricing and no per-query markup, reducing analytics costs by up to 70% compared to managed data warehouse solutions.
• Customizable connectors that let you extend Trino to proprietary or legacy systems, ensuring you can include all relevant data in your analytics.
• Community-driven innovation with hundreds of contributors continuously improving performance, security, and functionality.

Checkout our Getting Started: Trino Connector Setup

Why SaaS Teams Choose DataBrain for Embedded Analytics

• Ship analytics faster: Deploy production-ready dashboards in days, not months—no custom front-end development required.
• Reduce engineering complexity: Eliminate the need to build query APIs, caching layers, and security middleware from scratch.
• Increase product adoption: Give users the unified insights they need, exactly where they work, driving engagement and retention.
• Scale without limits: As your data sources multiply and your user base grows, Trino and DataBrain scale horizontally—no architectural rewrites.
• Control your destiny: With open-source Trino and flexible deployment options, you're never locked into proprietary infrastructure.

Unlock Federated Analytics Across Your Entire Data Ecosystem

With DataBrain's Trino connector, you can finally deliver seamless, embedded analytics that spans your entire data landscape—without the complexity of traditional data warehousing or the limitations of single-source analytics tools. Empower your users with unified dashboards, reduce infrastructure costs, and differentiate your SaaS product with best-in-class analytics.

Ready to see it in action? Start your free trial and embed powerful  analytics with DataBrain today.

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