Best Unstructured Data Analysis Tools

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The most innovative cloud database service on the market, with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more. MongoDB Atlas is the global cloud database service for modern applications. Deploy fully managed MongoDB across AWS, Google Cloud, and Azure with best-in-class automation and proven practices that guarantee availability, scalability, and compliance with the most demanding data security and privacy standards. The best way to deploy, run, and scale MongoDB in the cloud. MongoDB Atlas offers built-in security controls for all your data. Enable enterprise-grade features to integrate with your existing security protocols and compliance standards. With MongoDB Atlas, your data is protected with preconfigured security features for authentication, authorization, encryption, and more.

Bright Data is the world's #1 web data, proxies, & data scraping solutions platform. Fortune 500 companies, academic institutions and small businesses all rely on Bright Data's products, network and solutions to retrieve crucial public web data in the most efficient, reliable and flexible manner, so they can research, monitor, analyze data and make better informed decisions. Bright Data is used worldwide by 20,000+ customers in nearly every industry. Its products range from no-code data solutions utilized by business owners, to a robust proxy and scraping infrastructure used by developers and IT professionals. Bright Data products stand out because they provide a cost-effective way to perform fast and stable public web data collection at scale, effortless conversion of unstructured data into structured data and superior customer experience, while being fully transparent and compliant.

Wolfram Data Science Platform lets you use data sources that are structured or unstructured, and static or real-time. Use the power of WDF and the same linguistics as in Wolfram|Alpha to convert unstructured data to structured form, with automated or guided destructuring and disambiguation. Wolfram Data Science Platform uses industry database connection technology to bring database content into its highly flexible internal symbolic representation. Wolfram Data Science Platform can natively read hundreds of data formats, converting them. Wolfram Data Science Platform works with images, text, networks, geometry, sounds, GIS data and much more. Using the breakthrough symbolic data representation in the Wolfram Language, Wolfram Data Science Platform can seamlessly handle both SQL-style and NoSQL data. Wolfram Data Science Platform automatically constructs a sophisticated interactive report, using algorithms to identify interesting features of your data to visualize and highlight.

Intelligent document processing automates the processing of data within documents, contextualizing the document, understanding the information, extracting it, and sending it to the right place. With Acodis, you can do all of this in just a few seconds. The world is full of unstructured data hidden in documents and it will be for a long time to come. That's why we built Acodis so that you can extract data from any document, in any language. Get structured data from any document with machine learning, in seconds. Build and combine document processing workflows with a few clicks, no coding required. Once you capture and automate your document's data, integrate the process into your existing systems. Acodis offers an easy-to-use user interface. This enables your team to automate document-related processes and enables you to make faster decisions based on machine learning. Use the REST client in the programming language that you are using and integrate it with your existing business tools.

Databricks Unity Catalog is the industry’s only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. With Unity Catalog, organizations can seamlessly govern both structured and unstructured data in any format, as well as machine learning models, notebooks, dashboards, and files across any cloud or platform. Data scientists, analysts, and engineers can securely discover, access, and collaborate on trusted data and AI assets across platforms, leveraging AI to boost productivity and unlock the full potential of the lakehouse environment. This unified and open approach to governance promotes interoperability and accelerates data and AI initiatives while simplifying regulatory compliance. Easily discover and classify both structured and unstructured data in any format, including machine learning models, notebooks, dashboards, and files across all cloud platforms.