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DataFleets - Federated Learning and SQL Review

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Excellent

Revainrating 5 out of 5  
Rating 
5.0
IT Infrastructure, Data Warehouse

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Description of DataFleets - Federated Learning and SQL

“Creating machine learning models that learn across all of our customers without aggregating any data. Now that’s a killer app.” - Lead Data Scientist at a Fortune 500 Company Introducing DataFleets. The world's first cloud platform for unified and privacy-preserving enterprise data analytics powered by Federated Learning. It's never been easier to securely bridge data silos and create new data-driven products with strong network effects. DataFleets allows data teams to ship their analytics out to data, wherever it resides, analyzing it compliantly (e.g., GDPR, CCPA) with game-changing results: 10x available data and 10x speed in accessing it. Offering enterprise-ready, cloud-agnostic analytics with unparalleled performance DataFleets' tech has first-class support for a full suite of data science and machine learning tools, allowing no change in workflow and unparalleled performance. Our flexible and open-source technology makes it easy to deploy Privacy Enhancing Technologies (PETs) such as federated learning, differential privacy, secure multi-party computation, homomorphic encryption, and attack-based privacy evaluation. You'll never need lossy data masking or tokenization again. Our integrations and partnerships span Apache Spark, Apache Arrow, Tensorflow, Keras, Scikit Learn, H20.ai, PySyft, PyTorch, Kubernetes, Amazon Web Services (AWS), Google Cloud (GCP), Alibaba Cloud, and NVIDIA. We offer first-class support for Microsoft Azure and Microsoft WhiteNoise differential privacy platform. Measurably improve your data security, privacy, and compliance DataFleets provides robust and auditable security and privacy guarantees approved by regulators. We uphold three best-practice principles: No data ever moves from its original and secure location No row-level data is ever exposed to an analyst All analytics results are anonymized to best-in-class standards like GDPR, CCPA, and HIPAA Ready to accelerate your data teams' agility and speed? Learn more at www.datafleets.com
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Type of review

Revainrating 5 out of 5

Great framework once you get past some limitations

The ability to train and deploy models in near real-time from our own cloud infrastructure. It's not perfect, but it's improving quickly. The support for Keras is limited compared to the other frameworks I've used (Tensorflow, CNTK). They're working on that, but it would be great if they could work with TensorFlow more. The biggest issue was building out enough capacity to have models trained in near real time. We were able to solve this by using the Google Cloud ML Engine service, which is…

Pros
  • Ease learning curve.
  • Ability run data transformations before model build/training phase,
  • Integration into python scripts via kotlin scripting or jupyter notebooks
Cons
  • Not bad

Revainrating 5 out of 5

Easy To Use Virtual Private Server Platform

The ease with which you can setup, configure & deploy your fleet is great! I am able to quickly spin up new instances in different locations for my projects as needed (or even just testing). It's easy enough so it doesn't take much time or effort from me once set-up/configured correctly but also powerful if used properly by someone who knows what they are doing behind their interface. There isn't anything specific i dislike about this product however there may be things outside its control such

Pros
  • Very minimal learning curve because all commands work exactly how intended unlike some others platforms out now days requiring lots practice hours prior understanding fully

Revainrating 5 out of 5

Very fast-moving environment - good learning curve

I have been working with this software for over 2 years now, in multiple industries including Financial Services (equity risk management) as well as Medical Devices/Healthcare Compliance. It is an excellent tool to train predictive analytics algorithms which can be used across many different markets or verticals! The user interface does not always load correctly if you do it from your home network vs office VPN connection. Also sometimes there are issues when importing large Excel files but…