Aginity

In the second half of 2012, Aginity partnered with Brightgrove. Their goal was to develop a software platform for enterprise analytics management that would allow users to discover, create, share, and reuse analytics rather than constantly recoding it. 

Aginity wanted to transfer their team from a previous outsourcing development vendor and hire additional senior and middle engineers who will take over the full cycle development. 

We had to complete the following tasks: 

• Develop a paid product that would help teams produce more consistent analytic results faster. 
• Give the platform the ability to integrate with any client warehouse like Snowflake or RedShift. 
• Ensure that the deployment process is flexible to run on main clouds like AWS, Azure, or Google. 
• Develop a fully functional, free version of a product that would help individual professionals attract new clients. 

We transferred Aginity’s existing team of 4 engineers from another outsourcing vendor to Brightgrove’s office, providing the necessary legal support and the infrastructure. After that, our Recruitment Department assembled the additional development and delivery dedicated team under our roof. During the period from September to December 2012, we handpicked 8 senior and middle engineers for front- and back-end development and quality assurance. 

We achieved the maximum load of 40 members when there was a need to boost the customer’s capacity even further.  

Following Aginity’s strategic goals, we: 

• Built a stable, secure, and unique product called Aginity Enterprise as a set of microservices that is deployed inside of container services. Interactions with the application are done via a single-page web app and/or REST API. The product lets the companies use and reuse consistent analytic features, variables, and KPIs with the latest machine learning libraries and artificial intelligence frameworks such as H2O, SparkML MLlib, Tensorflow, and Scikit. 
• Ensured that the platform allows authorized users to collect analytics from a wide variety of data warehouses like Snowflake, RedShift Hive, IBM PureData System, and Apache Spark. 
• Developed custom JDBC/ODBC drivers that provide integration between the product and third-party query/BI tools. 
• Made the deployment process flexible in communicating with the leading cloud services (AWS, Azure, Google) seamlessly. A rich set of APIs allows Aginity’s clients to integrate the product into their own ecosystem. 
• Developed a functional free desktop demo version of the product for personal use. 

Thanks to the quality and speed of the development process, Aginity’s product keeps holding the top position in its market niche, bringing our customer new clients and boosting Aginity’s revenue. In April 2019 CIOReview named Aginity the most promising analytics solution provider. After 7 years of cooperation, we keep working on supporting and upgrading the current version of the Aginity Enterprise. We plan to boost its performance index even higher by optimizing the caching and pushdowns and making necessary changes on the execution engine side.