confidential-computing-zoo VS edgelessdb

There's some existing work by https://www.edgeless.systems/products/edgelessdb/ and their repo https://github.com/edgelesssys/edgelessdb

The title is a bit misleading: EdgelessDB was not developed by Microsoft but by a German startup (Edgeless Systems, https://www.edgeless.systems/ and https://github.com/edgelesssys/edgelessdb).

The announcement is about its availability on the Azure Marketplace.

Hi everyone! Our team just released EdgelessDB, an open-source database built on MariaDB that runs completely inside Intel SGX enclaves. As storage engine, it uses RocksDB with a custom encryption engine. The engine uses AES-GCM and is optimized for RocksDB’s specific SST file layout and the enclave environment. It has some nice properties like global confidentiality and verifiability and it considers strong attackers like malicious admins or rootkits. It also delivers rather low overheads (<10% for the TPC-C benchmark on Azure). In short: all data is only ever decrypted inside the enclave. This is different from other databases, where data and corresponding keys are processed in the clear in memory. We believe this is useful because (1) it’s very secure and (2) it enables some interesting use cases, like secure data pooling between parties. If you’re interested in trying it out: here’s a quickstart guide. In essence, you can run the Docker image with a single command on any recent Intel Xeon with SGX. Code and more info can be found on GitHub. Would be great to get your feedback on this :-)