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Dev tools · October 19, 2025

EM

EloqDoc: MongoDB-compatible doc DB with object storage as first citizen

We're excited to share EloqDoc, a new open source document database built on top of Data Substrate. EloqDoc is designed around the principle of treating object storage (like S3) as a first-class citizen for durability and cost efficiency. If you love the flexibility of MongoDB's document model but are struggling with scaling, cost, and consistency due to its coupled architecture, EloqDoc is for you. It’s built to solve MongoDB's inherent infrastructure challenges while remaining fully compatible with existing MongoDB clients and drivers. Key Features: 1. Object Storage as First Citizen: Uses…

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In plain words

EloqDoc is an open-source document database that uses object storage like S3 as its primary durability layer while maintaining MongoDB compatibility. It decouples compute and storage for independent scaling, reducing infrastructure costs through object storage and local NVMe caching instead of traditional block storage. Built on Data Substrate, EloqDoc addresses MongoDB's scaling and consistency limitations while remaining fully compatible with existing MongoDB clients and drivers, making it suitable for teams seeking a more cost-efficient and scalable document database.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

We're excited to share EloqDoc, a new open source document database built on top of Data Substrate. EloqDoc is designed around the principle of treating object storage (like S3) as a first-class citizen for durability and cost efficiency. If you love the flexibility of MongoDB's document model but are struggling with scaling, cost, and consistency due to its coupled architecture, EloqDoc is for you. It’s built to solve MongoDB's inherent infrastructure challenges while remaining fully compatible with existing MongoDB clients and drivers. Key Features: 1. Object Storage as First Citizen: Uses object storage for primary durability, leveraging local NVMe caching to achieve both lower cost and higher performance than using block-level storage (e.g. EBS). 2. Decoupled Compute & Storage: Scale your compute/QPS independently of your storage capacity, or vice-versa, without data movement. 3. True ACID Transactions: Delivers full ACID compliance with especially fast distributed transactions—consistency without compromise. 4. Native Distribution & Multi-Writer: It's a natively distributed database, eliminating complex manual sharding routers (like mongos) and supporting true Multi-Writer scalability. Check it out: https://www.github.com/eloqdata/eloqdoc We welcome any feedback, critique, or questions on the EloqDoc!

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