Do you have more data than you can analyze with your existing architecture? Are there questions that you could answer leveraging petabyte-scale data analytics? Would you like to use modern distributed frameworks such as Apache Spark without having to worry about cluster setup or configuration?

Then, Amazon EMR is what you’re looking for!


Get up to 2X faster time-to-insights, with performance optimized and open source API compatible versions of Apache Spark, Hive, and Presto.

Our team of experts can help you on this journey to better, faster and more scalable insights.

How it works

Amazon EMR serves as a managed cluster platform on AWS, streamlining the execution of big data frameworks like Apache Hadoop and Apache Spark.

Leveraging these frameworks and associated open-source projects such as Apache Hive and Apache Pig, it enhances the speed of processing large datasets for analytics and business intelligence tasks.

Additionally, EMR facilitates the transfer and manipulation of substantial data volumes to and from various AWS data stores and databases, such as Amazon S3 and Amazon DynamoDB.



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Accelerate data science and ML adoption


Analyze data using open-source ML frameworks such as Apache Spark MLlib, TensorFlow, and Apache MXNet. Connect to Amazon SageMaker Studio for large-scale model training, analysis, and reporting

Process real-time data streams


Analyze events from streaming data sources in real-time to create long-running, highly available, and fault-tolerant streaming data pipelines.‍

Build scalable data pipelines


Extract data from a variety of sources, process it at scale, and make it available for applications and users.

Perform big data analytics


Run large-scale data processing and what-if analysis using statistical algorithms and predictive models to uncover hidden patterns, correlations, market trends, and customer preferences.

What People Say About Us

Blend provides high-caliber staff that has quickly become integral members of the client's team. The team generates detailed reports about the work they've performed and attends all agile meetings. Blend is very responsive and maintains active communication via Slack.
— Jay Henry - Director of Engineering, Pixability
Hiring Blend has made us all better engineers. They provided us with true team members… I TRUST them, they care, they are respected throughout my company, and they are dedicated to our success. Many emergency EMR or ES cluster rebuilds under pressure and other infrastructure deployments are happily dealt with even when off hours. Always thinking and not afraid to bring up new ideas or approaches.
— Scott Moran – Principal Software & Cloud Data Engineer, Mastercard
The team has produced continuous improvement to core services, such as an 80% reduction in costs for machine learning job chains, improvements in time to deploy, and improvements in product operations.
— Willard Simmons – VP Product Management Ad Platform, Roku
Blend helped us with end to end development. They helped us build new features, scale up existing stack, and were involved in all of our development.
— Benjamin Zak – Chief Technology Officer at Disruptel
We love working with Blend! We've had much success embedding Blend engineers with our full-stack engineering teams for the last several years. Their engineers are smart, curious, good communicators and viewed as trusted partners on our teams
— Dan Smith – Director of Engineering, Indigo


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