For a mist computing platform that connects to existing cloud services and offers stronger security and data sovereignty, Crewdle is a top contender. It brings cloud services to the edge, letting you process and analyze data in real time on devices. That reduces latency and network usage while keeping data private and under your control by processing and storing it locally. The platform offers tools for real-time messaging, data management and rapidly changing data sets, so it's geared for developers who want to tap into decentralized, edge computing and data processing.
Another strong contender is Defog, a natural language data query platform powered by fine-tuned AI models. It lets you query your own data on your own servers, and it's designed to keep your data private and accurate. Defog can connect to big SQL databases and data warehouses, and it offers row-level access controls and customizable visualization. That makes it a good fit for companies that want to automate data queries and analysis.
For a broader span of cloud services, Oracle Cloud Infrastructure is a distributed cloud platform that spans public clouds, on-premises and hybrid environments. It offers more than 100 cloud services, including AI and machine learning, big data and data lake services. It's competitively priced and has strong security controls, and OCI meets digital sovereignty requirements and offers direct interconnection to Microsoft Azure and Oracle Cloud Applications.
Last, Nightfall is an AI-native data leak prevention platform that can detect, classify and protect sensitive data in SaaS and cloud applications. It uses machine learning for high accuracy and low false positives, and it supports major compliance standards like HIPAA, PCI and GDPR. Nightfall offers flexible pricing tiers and fast setup, and it's a good option for companies that want to improve their data security posture.