opaque-sql VS mc2

Compare opaque-sql vs mc2 and see what are their differences.

opaque-sql

An encrypted data analytics platform (by mc2-project)

mc2

A Platform for Secure Analytics and Machine Learning (by mc2-project)
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opaque-sql mc2
2 7
151 187
3.3% 10.2%
8.3 7.9
30 days ago 30 days ago
Scala C++
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

opaque-sql

Posts with mentions or reviews of opaque-sql. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-10.
  • How to Run Spark SQL on Encrypted Data
    dev.to | 2021-08-10
    Introducing Opaque SQL, an open-source platform for securely running Spark SQL queries on encrypted data. Built by top systems and security researchers at UC Berkeley, the platform uses hardware enclaves to securely execute queries on private data in an untrusted environment.
  • Announcing MC²: Securely perform analytics and machine learning on confidential data
    dev.to | 2021-06-17
    The MC2 Compute Services: MC2 offers several compute services: these include Spark SQL, distributed XGBoost, and secure aggregation for federated learning. All are intended to run in a primarily untrusted environment, such as a cluster of machines hosted on a public cloud, that has support for trusted execution environments (hardware enclaves). Data is encrypted in transit using a client key and only ever decrypted inside hardware enclaves, providing the previously mentioned security guarantees for data-in-use. For all compute services, MC2 leverages the Open Enclave SDK, a project intended to provide a consistent API for a variety of different enclave architectures.

mc2

Posts with mentions or reviews of mc2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-10.
  • How to Run Spark SQL on Encrypted Data
    dev.to | 2021-08-10
    Check out more blog posts on how to securely process data with MC² Project. We would love your contributions ✋ and support ⭐! Please check out the Github repo to see how you can contribute. No contribution is too small.
  • Show HN: MC² – Secure collaborative analytics and ML
    news.ycombinator.com | 2021-07-19
  • MC2: Secure Collaborative Analytics and ML
    news.ycombinator.com | 2021-07-19
  • Announcing MC²: Securely perform analytics and machine learning on confidential data
    dev.to | 2021-06-17
    MC2 is a platform for running secure analytics on data that stays encrypted even when in use. By doing so, the project also enables secure collaboration among multiple organizations, where individual data owners can use our platform to jointly analyze their collective data without revealing it to one another. To learn more and to see the individual projects’ documentation, visit our landing page.
    dev.to | 2021-06-17
    We are excited to announce the initial release of the open source MC2 Project, a collection of tools for computing and collaborating on confidential data. Developed by our team in the UC Berkeley RISELab, MC2 (Multi-Party Collaboration and Coopetition) enables rich analytics and machine learning on encrypted data, ensuring that data remains concealed even when it’s being processed. The data in use remains hidden from the server running the job, allowing confidential workloads to be offloaded to untrusted third parties or cloud providers. This not only protects confidential data from intrusions, but also enables secure collaboration -- multiple data owners can jointly run analytics or ML on their collective data, without explicitly revealing their individual data to anyone else: not even a trusted third party.
  • Secure collaborative analytics and ML on encrypted data using MC²
    Whoops. My bad: https://github.com/mc2-project/mc2
  • [P] Secure collaborative analytics and ML on encrypted data using MC²
    Our team @ UC Berkeley has been working on a platform for secure analytics and machine learning called MC2 -- and today we are excited to announce the initial release v0.1 of the platform! With MC2, you can take encrypted data and run various analytics and machine learning workloads at near processor speeds, while keeping the data confidential. MC2 also enables secure collaboration -- mutually distrustful data owners can jointly analyze / train models on their data, but without revealing their data to each other. Github: https://github.com/mc2-project/mc2

What are some alternatives?

When comparing opaque-sql and mc2 you can also consider the following projects:

secure-xgboost - Secure collaborative training and inference for XGBoost.

cerebro - Cerebro: A platform for Secure Coopetitive Learning