![]() That’s a mammoth effort but is something I’d love to do at some point. – This doesn’t cover every possible database you can (or could) use for analytics. All 3 products have unique feature sets but we don’t have enough space to cover all of it (unfortunately). ![]() – A recommendation to pick a specific product or a comprehensive evaluation of all features. I’m in the process of adding more sections over time! This guide covers: compute, storage, compression, deployment, pricing, scalability, data access, encryption, support for third party tools, query language, user defined functions, federated queries, materialised views, caching, streaming, data sources, maintenance and scheduling.I can’t mention any features that are currently under NDA but will update as soon as they become either public. Where applicable I’ve noted if a feature or functionality is in alpha / beta / in-preview. – I’ve attempted to make the information as accurate as possible, but some details may be condensed for simplicity. – An up to date guide (hopefully with regular updates as new features are released or changed) – Designed as a fair feature comparison between the different products For updates, changes and errata please see the Changelog at the end of this post.
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