Sinequa vs Aparavi Comparison: Everything You Need to Know Before Choosing

Aparavi is a data intelligence and automation platform that helps organisations discover, understand, control and make use of the unstructured data scattered across their file systems, cloud storage and collaboration tools. Most enterprises hold vast quantities of documents, spreadsheets, images and other files whose contents are poorly understood, which creates storage cost, security exposure, compliance risk and missed opportunities for analytics and AI. Aparavi addresses this by scanning data sources wherever they reside, indexing metadata and content, and classifying files according to sensitivity, age, duplication and business relevance. Its core approach is to provide a single view of unstructured data together with policy-driven automation, so that organisations can act on what they find — cleaning up redundant, obsolete and trivial data, protecting sensitive information and feeding curated datasets into downstream applications, including generative AI pipelines. Key capabilities include deep content search across heterogeneous sources, pattern-based and AI-assisted classification to detect personally identifiable information and other regulated data, duplicate detection, and analytics on data growth and ownership. Automation features allow users to move, copy, archive, tag or delete files according to defined rules, supporting data minimisation, retention and migration projects. The platform connects to on-premises file shares, NAS systems and cloud repositories such as Amazon S3, Azure, Google Cloud, SharePoint and OneDrive, and it can prepare and deliver data to vector databases and AI tools for retrieval-augmented generation use cases. Aparavi uses a distributed architecture with lightweight collectors and a central platform, available as a hosted service or in customer-controlled environments. It is aimed at mid-sized and large organisations in regulated industries such as financial services, healthcare, legal and government, as well as IT and data teams preparing for AI initiatives. Pricing starts from around USD 10,000 with a free trial; there is no permanently free version.