Learn about who uses Trino, helps with development, and is generally part of our community!
AdLibertas relies on Trino to power comprehensive user-level Audience Reporting for app developers. Trino allows our customers to create easy-to-use and visual user LTV reports across their large app user datasets. Since the scale and scope of these reports can widely vary, Trino’s ability to quickly scale on distributed systems and query across our data lake makes access fast and affordable for all sizes of clients without messy and expensive ETL.
Amazon AWS is widely used for deploying and running Trino. The Amazon EMR product provides a managed Hadoop framework that makes it easy, fast, and cost-effective to process vast amounts of data across dynamically scalable Amazon EC2 instances. With EMR, you can launch a large Trino cluster in minutes. You don’t need to worry about node provisioning, cluster setup or tuning. Using Trino on EMR provides you cluster elasticity. You can provision one, hundreds, or thousands of compute instances to process data at any scale. The scaling can be manual or automatic, and you only pay for what you use. Pricing is simple and predictable. You pay a per-second rate for every second used, with a one-minute minimum charge.
Ampool is powered by Trino to provide SQL query federation across 200+ data sources. Combined with Ampool’s high-performance in-memory distributed caching engine, a turbocharged Trino query engine can speedup BI & ad-hoc analytical workloads by an order of magnitude. Ampool is built from the ground up to operate seamlessly in hybrid and multi-cloud environments.
At Bazaar, we are working to digitize Pakistan's retail sector. Trino is the engine that powers the Bazaar Analytics Platform (aka Buraq). Buraq handles petabytes of data from a diverse set of data stores from Hive, S3 Lakes, RDS and Redshift. Trino allows us to build a scalable lake house architecture, that drives real time insights and machine learning workloads helping us to provide best in class customer experience.
The Chasing Securities Data Center uses Trino as the crucial general data query and data processing engine. Thousands of jobs per day use Trino to complete data processing from the ODS layer to the EDW layer, and they use Trino as their Ad-Hoc query service for the company. They also use Trino as the backend query engine for the data service API provided to other departments. Chasing Securities also uses Trino to connect to nearly 100 data sources as the federal query engine, including Oracle, SQL Server, MySQL, HBase, and many more, and have developed hundreds of security industry-related UDF functions on Trino, which are used to add to meet various business needs.
Cloud Chef Labs's DataRoaster provides data platforms running on Kubernetes to build a data lake and AI-based analytics platform. Trino is one of the components provided by DataRoaster as an interactive query engine to query the data lake. Users run Trino in DataRoaster as a cost-effective alternative to serverless services provided by other cloud providers.
The Data Appeal Company is a data provider that analyzes geospatial, business information, and customer perception data for any point of interest worldwide. Data Appeal leverages Trino high-performance capabilities to power its data analysis platform, providing an interactive location intelligence visualization for customers. Trino also enables our data scientists to query our various datasources with complete transparency, which in turn yields applicable, data-driven insights.
At datasapiens, we help your company to become a data-driven organization. Trino is at the core of that endeavour and is our primary data retrieval engine. We use it on top of various data sources from diverse industries including retail, gastronomy, travel and others. Trino unifies a diverse set of data stores such as Apache Hive, PostgreSQL, Apache Pinot, and Redshift. It allows us to build a scalable lakehouse architecture providing insights to thousands of satisfied users.
With its excellent data processing capability and high performance, Trino has a wide range of applications in DiDi. Currently, Trino processes over one million queries every day.
As the leading ground travel platform for businesses, Gett uses Trino as the core SQL engine for all data pipelines. Extracting data from heterogeneous sources, transforming it with the rich analytical functions and loading results to the visualisation tools to get wiser business decisions.
Jampp employs Trino as the main interface between its Data Warehouse and the rest of the company, using it to feed their predictive algorithms as well as performing analytic queries, ETLs and monitoring data quality.
At JioSaavn, Trino plays a pivotal role in the data engineering stack and is the central integrated hub for all the data needs. It is used in ETL processing since its performance is much better than Hive and Spark for certain use cases. Trino analyzes billions of events logged everyday and generates insights with adhoc analytical queries. It is also very useful to query data from various databases like MongoDB, Cassandra, and MySQL. Trino is also extensively used to power BI tools and dashboards from both ETL pipeline data in ORC and Parquet files and real-time data using the Pinot and Druid connector.
Trino is a core piece of LINE’s BI tools and interactive analysis workflow. It is being actively used in areas such as KPI and system metrics monitoring, as well as data analytics for large datasets. Trino is the preferred tool for our ML engineers and data scientists to better understand the data on our datalake through fast, interactive queries.
Trino is the de-facto ad-hoc and interactive analytics engine at LinkedIn that enables fast exploration and analysis of data stored in massive data lake. Every month thousands of users from across the company issue millions of queries scanning 100s of petabytes of data from a host of clients, including programmatic access from internal applications.
Myntra is among India's leading e-commerce platforms for fashion, beauty, and lifestyle. An integral part of the Flipkart Group, Myntra brings together technology and fashion to create the best experience for its fashion-forward customers, helping them look good. In alignment with our data-first organizational culture, Trino has been an incredible partner in our efforts to democratize data. Our teams run thousands of queries every day on petabytes of data right out of our in-house datalake. It has grown to be a critical component within our Myntra Data Platform (MDP) powering a wide array of workloads ranging from ad-hoc to batch queries.
Nielsen Media is the market leader for measuring audiences, predicting outcomes and powering contents. Nielsen uses Trino as a query engine over its petabyte-scale data lake, serving batch and interactive use cases for products, modelling, research and testing. Trino’s open source nature also allows Nielsen to customize it to handle a wide spectrum of business needs.
NTT Communications' telecom and internet services are powered by analysis on Trino. Trino enables interactive analytics over tables of terabytes in size which drive BI dashboards. The seamless feature to connect multiple data sources and query interactiveness are some of the driving factors that make Trino a pivotal technology of data analysis at NTT Communications.
Trino provides Raft with a distributed query engine that can be deployed to the most secure networks of the Department of Defense. We work in an environment which data is highly siloed by nature. Trino provides a scalable solution to drive decisions from data coming from the edge which can connect to virtually any source. It is key to our strategy of deploying a Data Fabric, reducing the time to insights for our customers, and in return lower their operating costs.
As India’s largest bike taxi service, Rapido uses Trino to provide SQL query federation across various data sources, and as SQL engine in various data pipelines. It is being actively used in areas such as KPI and system metrics monitoring, as well as data analytics for large datasets. Trino is a core piece of Rapido’s data platform to provide interactive analysis workflow and visualisation with Metabase and Superset.
We chose Trino because it is fast, scalable, and integrates well within our ecosystem. We use Apache Spark and Hudi to replicate data from OLTP databases and ingest events emitted by microservices in our AWS S3 data lake while using Hive Metastore to store table definitions and metadata. Trino made it easy to query these raw tables and derive insights from them as our users were already comfortable with SQL.
Resurface uses Trino to turn every API call into a durable, observable transaction. Resurface makes it easy to create a complete system of record for your API calls, to speed escalations, improve CX, and enable data science, without any third-party data transfer. Trino gives us the flexibility to support very small or very large installations, and integrate with other customer systems, behind a consistent SQL interface. We’re proud to be developing purpose-built connectors for Trino that deliver consistently fast performance at any scale and budget.
At Shopify, Trino provides their data scientists with quick access to their data lake, via an industry standard SQL interface that joins and aggregates data across heterogeneous data sources. Shopify Trino clusters handle 15 Gbps and over 300 million rows of data per second.
Starburst allows you to perform analytics anywhere: in the cloud, on-prem, or running hybrid. The Starburst platform is built on Trino to allow for fast federated querying across a multitude of datasources. These features in addition to Starburst's auto-scaling deployment solutions, enterprise connectors, and trusted industry grade security around a single accesspoint makes your data accessible without having to move it to another location. On top of that, Starburst has the best enterprise support as our employees have contributed the majority of the Trino opensource codebase.
Swrve uses Trino to power our behavioral insights system, allowing our customers to capture detailed data about user behavior in real time, in order to trigger personalized marketing campaigns. We needed a fast, reliable, SQL-based system supporting the level of fine-grained discovery of high-cardinality user behaviours that our customers demand, and Trino provides exactly that.
Trino has been at the core of the Customer Data Platform (CDP) of Treasure Data, and more than millions of SQL queries running every day with Trino are helping our customers for analyzing their business-critical datasets and making data-driven decisions.
Varada uses Trino as the distributed SQL query engine for its unique indexing-based query acceleration technology, supporting interactive queries directly on the customer data lake and in the customer VPC. Varada indexes any column in any table so data is fetched extremely fast. The indexing is adaptive to the type of data, and Varada automatically indexes data based on a smart observability layer that continuously monitors demand, business requirements, priorities and budget. Varada is proud to be an active contributor to the Trino open-source community.
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