Platforms features; (2) enhance reusability and make features consistently available regardless of the type of model, which also includes setting up the feature engineering pipelines that curate data as described in the feature store; (3) enable feature discovery and (4) enable feature serving. Our teams leverage feature stores in production to reap these benefits for end-to-end ML systems. 31. RudderStack Trial RudderStack is a customer data platform (CDP) that makes it easy to store data in a data warehouse or data lake. This approach, increasingly known as Headless CDP, separates the CDP’s features from its user interface and emphasizes configurability through APIs and the data warehouse/ lake as primary storage. As expected from a product in this category, RudderStack has a rich repository of integrations with third-party products (both as source and sink) and the ability to ingest custom events. RudderStack has both a commercial offering and a self-hosted OSS version with functionality limitations. 32. Strapi Trial Strapi is an open-source, NodeJS-based, headless content management system (CMS) similar to Contentful. It has been around for a while, and we’ve used it successfully in a few projects. Strapi provides both REST and GraphQL APIs, has comprehensive documentation, features an easy-to-use data model API and supports customizing both UI and logic. 33. TypeDB Trial TypeDB is a knowledge graph database, designed to work with intricate data relationships which makes it easier to query and analyze large data sets. TypeDB’s TypeQL query language has a SQL- like syntax which eases the learning curve for schema definition, querying and exploration. TypeDB comes with a variety of tools that make it easier to work with the database, including a command- line interface and a graphical user interface, TypeDB Studio, which provides some features for working with TypeDB, such as managing schemas, querying data, visualizing relationships or even collaborating with others. There is a good deal of documentation available and an active community for support. Our teams used it to build knowledge graphs of taxonomic concepts across different databases and took advantage of its strong inference capabilities by adding new inference rules increasing efficiency and reducing workload. With its intuitive developer experience and supportive community, TypeDB is a good candidate to consider for any team looking to build data solutions that depend on complex data relationships, including natural language data, recommendation engines and knowledge graphs. 34. Autoware Assess Autoware is an open-source autonomous driving software stack built on ROS (Robot Operating System) which can be used to develop and deploy advanced driver assist systems (ADAS) for a wide range of vehicles like cars and trucks. It provides a set of tools and algorithms for various aspects © Thoughtworks, Inc. All Rights Reserved. 23