opaque-sql VS secure-xgboost

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

opaque-sql

An encrypted data analytics platform (by mc2-project)
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opaque-sql secure-xgboost
2 1
151 70
3.3% -
8.3 4.5
30 days ago 4 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.
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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.

secure-xgboost

Posts with mentions or reviews of secure-xgboost. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-17.
  • 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.

What are some alternatives?

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

mc2 - A Platform for Secure Analytics and Machine Learning

cerebro - Cerebro: A platform for Secure Coopetitive Learning