cloudera
In today’s data landscape, flexibility and openness are no longer “nice to have”—they are essential. Organizations want to avoid lock-in, leverage best-of-breed technologies, and enable fast, scalable analytics across distributed data sources.
That’s why the evolution of Cloudera toward supporting Trino is such an important development.
From Monolithic to Modular
Traditionally, enterprise data platforms leaned toward tightly integrated ecosystems. While this brought stability, it often came at the cost of agility.
With the introduction of Trino support, Cloudera is clearly moving toward a more modular, open data architecture—one where:
- Data can reside anywhere (data lake, lakehouse, object storage, hybrid cloud)
- Compute engines are decoupled from storage
- Query engines can be swapped or combined based on workload
Trino plays a key role here. As a high-performance distributed SQL engine, it enables interactive analytics across multiple data sources without the need for heavy data movement.
Why Trino Matters
Trino is gaining traction because it solves a very real problem: how to query data across systems—fast.
Think of use cases such as:
- Federated queries across S3, Hive, Iceberg, Delta Lake and relational systems
- Real-time analytics on large-scale datasets
- Self-service BI with low latency
- Reducing data duplication by querying in place
By supporting Trino, Cloudera enables its customers to unlock these capabilities without abandoning their existing investments.
A Strategic Shift Toward Open Data Platforms
This move aligns perfectly with a broader industry trend: the rise of “open data platforms.”
Organizations increasingly want architectures built on:
- Open table formats (like Iceberg, Delta Lake)
- Open compute engines (Spark, Trino, Flink)
- Cloud-native and Kubernetes-based deployment models
- Interoperability across vendors and environments
Cloudera’s support for Trino is a clear signal that even established platform vendors are embracing this direction.
How Big Industries Helps You Turn Strategy into Reality
At Big Industries, we’ve been working with these open architectures for years—long before they became mainstream.
We don’t just follow trends. We industrialize them.
1. Assess & Define Your Target Architecture
Every organization starts from a different baseline. Whether you’re running a traditional Cloudera stack or already moving toward a lakehouse model, we help you define:
- Where Trino fits in your architecture
- How to combine it with engines like Spark or Flink
- Which workloads should move—and which shouldn’t
The result is a pragmatic roadmap, not a theoretical blueprint.
2. Design & Implement a Production-Grade Trino Platform
Deploying Trino is easy. Running it at scale, securely, and cost-efficiently is not.
We help you set up:
- Kubernetes-based Trino clusters (for scalability and portability)
- Integration with your data catalog and governance layer
- Secure access controls and data masking
- Performance tuning for large-scale distributed queries
All delivered using Infrastructure as Code to ensure repeatability and speed.
3. Integrate with Your Existing Cloudera Environment
You don’t need to “rip and replace.”
We specialize in hybrid setups where Trino complements your existing Cloudera platform:
- Querying legacy Hive tables alongside modern Iceberg or Delta Lake datasets
- Gradually introducing new workloads on Trino
- Enabling federated access across on-prem and cloud environments
This approach minimizes risk while maximizing value.
4. Enable Self-Service Analytics
Technology is only part of the story.
We help your teams actually use Trino by:
- Integrating with BI tools (Tableau, Power BI, etc.)
- Setting up semantic layers and data models
- Training data engineers and analysts
- Defining governance and usage patterns
The goal: faster insights, without compromising control.
5. Future-Proof Your Data Platform
With Trino in your stack, you’re no longer tied to a single vendor’s query engine.
We help you build a platform that is:
- Portable across cloud providers
- Compatible with open standards
- Ready for AI and advanced analytics workloads
- Aligned with digital sovereignty requirements in Europe
Final Thoughts
Cloudera’s support for Trino is more than just a feature update—it’s a strategic shift toward openness and flexibility.
For organizations, this is an opportunity:
- To modernize without starting from scratch
- To unlock faster, more flexible analytics
- To move toward a truly future-proof data platform
But technology alone doesn’t deliver value. Execution does.
That’s where Big Industries comes in.
