Top 5 Uses of Pandio Trino

As the internet grows, so does the amount of data your company needs to store and process. Scaling up can be difficult and expensive, but Trino is a nimble and cutting-edge tool to get the job done.

For data-driven businesses, the ability to leverage modern technologies to their advantage is the key driving factor of success. Modern business organizations must handle incredibly large amounts of data every day, and they need the latest technology solutions to help them achieve their data management goals. That’s where Pandio Trino comes into play.

Pandio’s managed Trino service is an excellent solution for solving all the major big data problems that modern-day enterprises face. The more the internet grows, the more data businesses are forced to handle. 

Data management tends to become quite complicated because businesses are constantly expanding their operations. That’s why companies need user-friendly, powerful tools for capturing and processing gigantic loads of data without disturbing their ongoing processes or breaking their budgets. 

When it comes to handling zettabytes of data, the first problem that comes to mind is finding the appropriate storage solution. Then, there’s also the challenge of managing multiple data pipelines and storage mechanisms. One solution is investing in quite expensive software and hardware infrastructures to ensure maximum performance, especially when scaling up your operations. 

Pandio Trino is an excellent solution for businesses that need to scale up their operations while maintaining high performance and low latency. With that in mind, let’s talk about how Pandio’s managed Trino can help tackle some of the biggest big data challenges and the top five uses of Trino.

Overcoming the most prominent big data challenges with Trino

Every modern business encounters big data every day. The biggest challenges come from understanding and managing big data to get valuable and competitive insights. These help increase customer satisfaction, improve customer experience, get ahead of the competitors, improve decision-making, etc. 

The only way to harness the power of big data is to create and deploy more data pipelines to your existing data processing systems. However, adding more data pipelines to your infrastructure brings new challenges, like the need to provide additional data processing resources, finding available storage capacities, and handling the ever-increasing amounts of data. 

That’s where the biggest challenge arises – finding the proper storage solution compatible with your data querying technology. The more relational databases, NoSQL databases, key-value stores, object storage systems, and document databases you need, the more you need to stretch your budget. 

Then, there’s also the problem of finding the right tool to query and analyze data in all your storage systems. Each solution requires a unique tool. Finally, querying data across various data sources is challenging, as each source is unique. 

Since most data warehouses and silos can’t be queried and processed simultaneously, companies need a unified solution that can help solve all these problems. That’s where Pandio Trino kicks in. Trino allows the user to query countless data warehouses and databases quickly. 

It’s a state-of-the-art distributed SQL query engine that doesn’t require a data storage system on its own. Instead, Trino allows you to query data against multiple data sources, regardless of your storage solutions. Trino can significantly improve your data abstraction performance in terms of distributed execution as it can quickly query any data source regardless of its size or location. 

However, the best thing about Trino is the power of its real-time analysis. If you’re required to conduct extensive data operations, having a tool that can perform massive data queries in mere milliseconds is mandatory for achieving superior performance. Now that you have some basic knowledge of what Trino is and what it can do, let’s see the top five uses of Trino.

  1. Data accessibility 

One of the first things you should know about Trino is that it can give you access to all your data. It does so by easily connecting to all your data sources and providing you with a federated view across your data lakes, warehouses, etc. 

When all your data sources are connected, conducting data queries in real-time becomes incredibly easy. Trino effectively solves two main problems:

  • It easily connects to your data sources without the need to move your data
  • It allows you to query live streaming data from distributed messaging systems

Trino has a native Connector API that allows it to perform universal analytic data queries against all data sources such as:

  • Live streaming data systems like Kafka, Pulsar, etc.
  • Structured and unstructured data sources
  • Hive
  • SQL and NoSQL
  • Hadoop HDFS
  • JDBC
  • RDBMSs

Trino gives you the advantage of using a single query statement to query data against multiple data sources without the need to aggregate or consolidate data sources or bring data to the Trino queries.

  1. Ad-hoc analytics and querying

Since Trino is a universal and distributed analytic SQL query engine, it can run ad hoc queries on-demand without moving data or bringing it to the query. Instead, you can simply conduct interactive analytics where your data resides or where it is stored, thus eliminating the need for having to ETL data into a separate infrastructure. 

With Trino connectors, you can execute queries on-premises allowing your data scientists and analysts to work on available datasets. It helps companies save time, effort, and resources that you would otherwise spend on running data queries across separate systems.

  1. Advanced dashboards and reporting

Perhaps one of the most useful things you can do with Trino is creating one unified view of all your dashboards and reports to make the most out of your data querying. 

Trino’s advanced reporting capabilities allow you to perform advanced analytics on data gathered from multiple data sources without the need to deploy a separate team of data engineers. Instead of hiring more analysts and data scientists and bringing data to them, you can empower them with Trino to perform data queries across sources on their own.

  1. Feeding data into machine learning

When it comes to streamlining machine learning, batch learning is still the industry standard. However, while this methodology and technology are pretty effective, machine learning can improve them to provide companies with a significant productivity boost. Trino is the right tool for taking advantage of machine learning

It changes how your data delivery works by allowing you to scale your data queries in every direction and control how the process streamlines your queries however you wish.

  1. Performing federated data queries across multiple sources

Whether you need to query data directly on its source or you need a solution for performing multi-layered queries across multiple data sources, Trino can help. It allows you to query data across sources in the cloud, on-premises, lake houses, data lakes, and databases. More importantly, you can gather query results in the Trino in-memory database.


Pandio developed a managed Trino service to allow modern business organizations to connect to multiple data sources and automate their data pipelines across every segment of their operations with increased cost-efficiency, improved latency, and more throughput. 

Because of that, managed Trino is simply a perfect solution for querying data streams in real-time with incredible efficiency. On top of that, you can combine it with top-class distributed messaging systems like Pulsar for even better results. 

It’s also an excellent tool for taking your data security to the next level. Contact Pandio for more information on managed Trino and everything else that goes with it. 

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