200X Acceleration at
1/10th of the cost
Zero
maintenance
No credit card
required
Zero coding
infrastructure
Multi-level
security
Simplify Trino integration in
4 simple steps
Create connections
between Trino and targets.
Prepare pipeline
between Trino and targets by selecting tables in bulk.
Create a workflow
and schedule it to kickstart the migration.
Share your data
with third-party platforms over API Hub
Why choose Lyftrondata for Trino Integration?
Simplicity
Build your Trino pipeline and experience unparalleled data performance with zero training.
Robust Security
Load your Trino data to targets with end-to-end encryption and security.
Accelerated ROI
Rely on the cost-effective environment to ensure your drive maximum ROI.
Customer's Metrics
Track the engagement of your customers across different channels like email, website, chat, and more.
Improved Productivity
Measure the performance of your team and highlight areas of improvement.
360-degree Customer View
Join different data touch points and deliver personalized customer experience.
Hassle-free Trino integration to the platforms of your choice
Migrate your Trino data to the leading cloud data warehouses, BI tools, databases or Machine Learning platforms without writing any code.
Your Cloud Data Warehouses
Your BI Tools
Your Database
Your Machine Learning Tools
Hear how Lyftrondata helped accelerate the data journey of our customers
FAQs
What is Trino?
Trino is an open-source, distributed SQL query engine designed for running fast, interactive queries across large datasets. It allows users to query data from multiple sources, including databases, data lakes, and other storage systems, without needing to move or transform the data. Originally known as PrestoSQL, Trino was created by the original creators of Presto (now rebranded as PrestoDB under a different community). Trino is widely used for big data analytics and supports SQL queries on data across distributed storage systems.
What are the features of Trino?
SQL Compatibility:
Trino provides full SQL support, including complex joins, aggregations, window functions, and subqueries. This makes it familiar for users who have experience with SQL-based systems.
High Performance:
It is optimized for low-latency queries over large datasets, making it suitable for interactive querying and analytics. Trino’s distributed architecture allows it to handle petabyte-scale data workloads efficiently.
Scalability:
Trino is designed to scale horizontally by adding more worker nodes to the cluster, which can process larger datasets and increase query throughput without significant performance degradation.
Support for Advanced Analytics:
Beyond simple SQL queries, Trino supports advanced analytical capabilities such as window functions, geospatial queries, and complex aggregations, which are commonly used in data analytics workflows.
What are the shortcomings of Trino?
Complex Configuration and Management:
Cluster Management: Setting up and maintaining a Trino cluster can be complex, especially in larger deployments. Organizations need skilled personnel to configure, manage, and optimize the cluster to ensure efficient performance.
Tuning: Trino requires careful tuning, particularly for optimizing query performance and ensuring smooth operation at scale. Misconfiguration can lead to inefficient resource use or slower queries.
Security Limitations:
Limited Built-In Security Features: Trino's security features, such as user authentication and data encryption, are basic compared to more mature database systems. While integration with external security systems is possible, setting it up requires additional effort and expertise.
Cost Considerations for Large Clusters:
Infrastructure Costs: For larger Trino clusters that need to handle high-scale workloads, infrastructure costs can increase significantly, especially in cloud environments. The need for multiple worker nodes and additional memory or compute resources can drive up operational expenses.
Make smarter decisions and grow your sales with Lyftrondata Trino integration
