PrestoDB: Built for Enterprise
Unify unlimited types of data sources under a single, petabyte scale, ultra-fast distributed SQL engine
Companies like Facebook, Twitter, AirBnb, Uber, Netflix & Comcast use Presto to run 100,000s of queries a day against petabytes of data.
Presto connects to data wherever it lives. Hive, AWS S3, Hadoop, Cassandra, relational databases, NoSQL databases, and even proprietary data stores.
Highly parallel and distributed query engine, that is built from the ground up for efficient, low latency analytics.
Presto can connect to Looker, Tableau, Qlik and even proprietary Business Intelligence tools with ease allowing users to use any tool they prefer.
A single Presto SQL query can combine data actoss multiple sources, eliminating the need for clunky ETL pipelines and dedicated resources to manage them.
From ad-hoc analytics at sub-second speeds to batch queries that last hours, Presto is designed to be as reliable as it is versatile.
Use cases
Presto's central data consumption layer, redefines what was previously thought to be impossible. A single Presto SQL query can combine data actoss object storage, relational databases, streaming databases, NoSQL stores and many more - enabling cross functional analytics and revealing a complete picture of the business.
Presto enables the analysis of HDFS/Hive object using simple SQL. It also makes the queries exponentially faster. Presto allows to run queries that were previously considered impossible or multi-hour long. And it does so, highly reliably.
Routinely run by engineers, large Extract, Transform, Load (ETL) processes running in batches are very resource intensive, low priority and slow. Presto speeds up ETL processes by allowing the code to be written in standard SQL statement, across multiple data bases and targets all in the same system.
Presto can connect to Looker, Tableau, Qlik and even proprietary Business Intelligence tools with ease allowing users to use any tool they prefer. This makes the deployment of organization wide analytics, dashboards and BI tools easier than ever!
Data & Analytics
“What gets measured, gets managed”
Peter Drucker, Management GuruContinuous learning & Relentless Optimization hold the key to success in today’s business landscape where business models are continuously disrupted by competition. With the advent of effective analytics tools like Tableau, PowerBI and QlikView, businesses are now able to formulate data driven actions and strategies at top-level Management, Operations, Supply Chain and Marketing.
We leverage Excel (VBA), PowerBI, Tableau, Hive, SQL, SAS, R, Python and H2O to deliver Customer Segmentation, Sales Forecasts, Business Operations Dashboards, Campaign ROI Dashboards, Upsell & Cross-Sell strategies, A/B Testing and much more.
Let’s talk about how we can help on next data challenge!
Data Engineering
Capturing, Storing and Transforming data
Creating reliable data pipelines is the first step towards enabling AI and Analytics at any company. This foundation is essential in achieving a symbiotic synergy between data scientists and data engineers.
Our data engineering team is highly skilled in managing the entire data lifecycle - ingestion, transformation, storage and analysis. To achieve high reliability, fault tolerance and multi-database connections, we use the best open source tools like Airflow, Kafka, Spark and PrestoDB, Hive for orchestration and storage.
From database architecture to designing analytics databases to building relevant APIs to leverage databases, our data engineers are capable of handling projects end-to-end.
