AWS Partner Network (APN) Blog
Driving Big Data Innovation on AWS – ISV Highlights, April 2017
Introduction by Terry Wise, Global Vice President, Channels & Alliances at AWS
What can your data do for you? More importantly, how can insights derived from your data help you drive additional value for end customers?
Our APN partners offer services and solutions that complement what AWS has to offer. As an example, many customers are choosing to build a data lake on AWS. NorthBay is a Big Data Competency Consulting partner that helped architect and implement a data lake on AWS for Eliza Corporation. You can read details of the solution they built here. Today, I want to tell you a bit about four of our AWS Big Data Competency ISVs and what makes them unique: Alteryx, Databricks, SnapLogic, and Treasure Data.
Alteryx
AWS Big Data Competency Holder in Data Integration
How is your time spent when you embark on a new data analytics project? For many, the time required to gather, prepare, and process their data cuts into the time they can spend actually analyzing and learning from their data. Alteryx’s mission is to change the game for these analysts through the company’s self-service data analytics platform. “Alteryx Analytics provides analysts the unique ability to easily prep, blend, and analyze all of their data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks. Analysts love the Alteryx Analytics platform because they can connect to and cleanse data from data warehouses, cloud applications, spreadsheets, and other sources, easily join this data together, then perform analytics – predictive, statistical, and spatial – using the same intuitive user interface, without writing any code,” says Bob Laurent, VP of product marketing at Alteryx. The company’s products are used by a number of AWS customers, including Chick-fil-A, Marketo, and The National Trust.
Alteryx integrates with Amazon Redshift and provides support for Amazon Aurora and Amazon S3. Using Alteryx on AWS, users can blend data stored in the AWS Cloud, such as data stored in Redshift, with data from other sources using Alteryx’s advanced analytic workflow. Earlier this year, the company virtualized its Alteryx Server platform to make it easy for users to deploy on AWS through the AWS Marketplace. “Organizations can deploy our Alteryx Server platform in the AWS Cloud within minutes, while maintaining the enterprise-class security and scalability of our popular on-premises solution. This gives organizations a choice for how they want to quickly share critical business insights with others in their organization,” explains Laurent.
See Alteryx in action by downloading a free 14-day trial of Alteryx Designer here, or launch Alteryx Server from the AWS Marketplace here. If you’re interested in becoming an Alteryx Partner, click here. To learn more about Alteryx, visit the company’s AWS-dedicated site.
Databricks
AWS Big Data Competency Holder in Advanced Analytics
Are you looking for an efficient way to run Apache® Spark™ as you seek to create value from your data and build a sophisticated analytics solution on AWS? Then take a look at Databricks, founded by the team who created the Apache Spark project. “Databricks provides a just-in-time data platform, to simplify data integration, real-time experimentation, and robust deployment of production applications,” says John Tripier, Senior Director, Business Development at Databricks. The company’s mission is to help users of all types within an organization, from data scientists to data engineers to architects to business analysts, harness and maximize the power of Spark. Users can also take advantage of a wide range of BI tools and systems that integrate with the platform, including Tableau, Looker, and Alteryx. The company works with companies across a wide range of industries, including Capital One, 3M, NBC Universal, Edmunds.com, Viacom, and LendUp.
Databricks is hosted on AWS, and takes advantage of Amazon EC2 and Amazon S3. “Databricks is a cloud-native platform that deploys Spark clusters within the AWS accounts of our 500+ customers. We leverage the compute, storage, and security resources offered by AWS. We find AWS is a reliable and secure environment and enables fast implementation of infrastructure in regions all over the world,” says Tripier.
Want to give Databricks a spin? The company offers a free trial of their software here. Learn more about the Databricks platform here. And if you’re a Consulting Partner interested in learning more about becoming a Databricks Partner, click here. Databricks deploys in all regions, including AWS GovCloud, and is also an AWS Public Sector Partner.
SnapLogic
AWS Big Data Competency Holder in Data Integration
Where does your data come from? For most companies, particularly enterprises, the answer is, a lot of places. SnapLogic is focused on helping enterprises easily connect applications, data, and things between on-premises, cloud, and hybrid environments through its Enterprise Integration Cloud (EIC). True to its name, the company provides Snaps, which are modular collections of integration components built for a specific data source, business application, or technology. “We help customers automate business processes, accelerate analytics, and drive digital transformation,” says Ray Hines, director of strategic partners and ISVs at SnapLogic. The company works with hundreds of customers, including Adobe, Box, and Earth Networks.
The SnapLogic Enterprise Integration Cloud integrates with Amazon Redshift, Amazon DynamoDB, and Amazon RDS. “We provided pre-built integrations with these services because our customers are rapidly adopting them for their cloud data warehousing needs,” explains Hines. The company’s solution can help simplify the onboarding process for Redshift, DynamoDB, and RDS customers. For instance, Snap Patterns provide pre-built data integrations for common use cases and a number of other features (learn more here).
Care to try out SnapLogic for AWS? Click here for a 30-day free trial of SnapLogic Integration Cloud for Redshift or download the data sheet here. You can request a custom demo here. Consulting Partners, learn more about becoming a SnapLogic Partner here.
Treasure Data
AWS Big Data Competency Holder in Data Management
Are you a marketer looking for the ability to use data to provide great experiences to end customers? Are you in sales operations and are you looking to create a centralized dashboard for real-time sales data? Give life to your customer data through Treasure Data. “Treasure Data simplifies data management. Our Live Customer Data platform keeps data connected, current, and easily accessible to the people and algorithms that drive business success,” says Stephen Lee, vice president of business development at Treasure Data. “We provide a turnkey solution that collects data from 300+ sources, stores the data at scale, and provides users the tools to analyze and activate their data in their application of choice.” The company works with customers across industries including Grindr, Warner Brothers, and Dentsu.
“We deployed our solution on AWS because of the scalability, reliability, and global footprint of the AWS Cloud and the ability to deploy without having capital expenditures. With AWS, we can easily deploy our solution in new regions. We’ve also found there to be a strong support ecosystem,” says Lee. Treasure Data’s Live Customer Data Platform integrates with Amazon Redshift, Amazon S3, and Amazon Kinesis, along with many other solutions including Tableau, Chartio, Qlik, Looker, and Heroku (see all integrations and learn some nifty integration recipes). Getting started with Treasure Data is easy. “Our Solution Architects work with our new customers to get their initial data sources set up, after which our customers can be up and running in minutes,” explains Lee.
You can request a custom demo here, or simply email the team directly at info@treasuredata.com. Consulting Partners interested in becoming a Treasure Data partner can visit the company’s partner page here.
Want to learn more about big data on AWS? Click here. Bookmark the AWS Big Data Blog for a wealth of technical blog posts you can look to as you begin to take advantage of AWS for big data.