Athena Rapid Analytics

We have partnered with AWS to bring Athena customers new ways to connect to more data. We created a growing library of pre-built AFQ connectors in collaboration with the AWS Athena product team to service hybrid and multi-cloud sources.

Now, Athena extends beyond the AWS ecosystem to deliver even faster and more powerful analytics.

Athena Rapid Analytics

Digital Transformation and the Business Urgency for Analytics

Digital disruptions have created a multitude of challenges for organizations all over the world. Customer behaviors, spending patterns, products and services, and business models are changing at a rapid pace. Data and analytics leaders are under heavy pressure to deliver analytics and insights based on multiple cloud data sources.

In today’s rapidly changing digital environment, enterprises are operating under shrinking windows of competitive opportunity and unprecedented financial and technical resource challenges. When a business faces the risk of disruption, a complicated and time-consuming analytics solution does not help. This is why we have partnered with AWS to bring you Athena Rapid Analytics, our federated data solution that allows customers to realize the benefits of data federation at the speed of business.

Learn More About Rapid Analytics
For Business
Digital Transformation and the Business Urgency for Analytics

What is Athena?

Amazon Athena is an interactive query service that allows users to easily query and catalog data from the S3 bucket, define the schema, and start querying data using standard SQL. As a result, Athena allows users to perform complex analyses on massive datasets without worrying about the underlying infrastructure, cost, or maintenance associated with traditional database management systems (DMBS). With Athena, AWS automatically handles all the infrastructure, so users only pay for the data scanned during the queries.

By utilizing Athena with AFQ connectors, users can query data from disparate sources, such as a relational database, NoSQL database, or anywhere their data resides. As a result, users do not have to migrate or consolidate the data, and since the Athena platform is serverless, there is no need for complex ETL jobs to prepare data for analysis. Now anyone with limited knowledge of SQL can get started analyzing large-scale datasets immediately.

Athena

How Can You Get Analytics at the Speed of Business?

Athena Rapid Analytics was built in conjunction with AWS to offer business leaders and organizations a strategic solution that unifies disparate sources to facilitate faster data-driven decision-making. Users log in to their AWS account, and our library of AFQ connectors automatically consolidates the data sources, allowing users to get started right away with cross-data source analytics.

More Data Connections for Athena

CloudWatch
AWS-CMDB
DocumentDB
DynamoDB
Elasticsearch
HBase
MySQL
Neptune
PostgreSQL
Redis
Redshift
Timestream
TPC-Benchmark-DS
Vertica
Cloudera
Google-BigQuery
Google-Sheets
Hortonworks
Microsoft-SQL-Server
Oracle
SAP-ERP
Snowflake
Teradata
Databricks
Microsoft-Azure-Data-Lake
Microsoft-SQL-Azure
Salesforce

With Athena Rapid Analytics, you can realize the benefits of a powerful and easy-to-use data federation solution that saves valuable time, financial, and technical resources in today’s fast-paced and highly constrained digital environment.

Learn More About Trianz
AFQ Connectors

Why Trianz and AWS Athena?

With 1000+ AWS Cloud Accreditations and 100+ AWS Certifications, we have expertise in some of the most complex and value-creating AWS programs in the world. Our strategic partnership with AWS in building the new AFQ Connectors has helped our Fortune 1000 clients realize the following benefits:

  • Connect on-premise and cloud migrated data into one holistic, virtually connected eco-system

  • Experience real-time access to data with X2 faster data retrievals

  • Improve data usability and productivity enhancements

  • Remove data silos and enhance reporting

  • Reduce dependency on IT teams

  • And more


Rapid Deployment

With Athena Rapid Analytics, users simply connect AWS Athena and their data sources using our out-of-the-box AFQ connectors. The combination of zero infrastructure, straightforward implementation, and faster response to perform federated query function makes it the easiest way to improve efficiency and reduce operational costs.

Launch Athena Rapid Analytics in 45 Days or Less

Rapid Deployment

Free Proof of Value

Trianz and AWS are happy to conduct a free PoV for you covering two data sources, two AFQ connectors, as well as sample dashboards to demonstrate the speed of deployment, accuracy, and performance of our federated data solution.

Free Proof of Value

Client Testimonials

We have selected the Trianz Athena connector for Teradata. With our existing data virtualization product, we were unable to perform joins across datasets between the Athena and our virtualized datasets. Our objective was to confirm that AFQ could complement adhoc querying of our physical data lake and improve our usability compared to our existing virtualization tool.

We are able to successfully query from our AFQ catalog and join data from our current default athena catalog. We also saw a 2.5x increase in throughput of records using the Trianz AFQ service compared to our existing product. Additional use cases were tactical data migrations, integration with our visualization products, and providing secure role based access control (RBAC) capabilities to our data marts.

As mentioned above regarding secure RBAC capabilities, we saw that the Trianz AFQ connector would securely store our data source credentials using AWS Secrets Manager + Lambda Environment Variables. In addition to AWS Athena’s fine grained access ability, we would leverage the resource-based policy associated to the Lambda functions used in implementation to limit access based on role.

-Lead Architect, Fortune 500 P&C Company

Book a Demo and
FREE Proof of Value


Contact Trianz to schedule a presentation
of Athena Rapid Analytics and a free PoV.

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