If you're looking for a Shelf alternative, Collibra is another good option. It offers a data intelligence platform that spans data quality monitoring, pipeline reliability tracking and integrated data management. The platform is designed to boost productivity by automating data work and minimizing manual labor, making it highly scalable and flexible. Collibra spans a broad range of use cases, including data analytics and AI model development, and offers strong business benefits, including a 484% 3-year ROI.
Dataloop is another good option. It combines data curation, model management, pipeline orchestration and human feedback to speed up AI application development. The platform handles a variety of unstructured data types and offers automated preprocessing and model deployment options. Dataloop is designed to facilitate collaboration, accelerate development and ensure high quality and security, which could be particularly useful for managing and analyzing large amounts of unstructured data.
If you want to use Large Language Models (LLMs) to transform data, DATAKU could be a good option. It's focused on converting unstructured text and documents into structured data at scale, with features like Document Insights and Text Intelligence. DATAKU offers a variety of pricing plans and can be used for a variety of use cases including recruitment, customer feedback analysis and financial document processing.
Last, Glean offers a different way to generate answers from a company's data using Retrieval Augmented Generation (RAG) technology. It unifies all enterprise data into a single knowledge graph, which lets it personalize answers based on identity and task. Glean is good for engineering, support and sales teams, giving them fast access to the right information and helping them work more efficiently.