Research alternative solutions to SAS Analytics for IoT on G2, with real user reviews on competing tools. Other important factors to consider when researching alternatives to SAS Analytics for IoT include projects. The best overall SAS Analytics for IoT alternative is Datadog. Other similar apps like SAS Analytics for IoT are SAP Business Technology Platform, Portainer, TrendMiner, and Seeq. SAS Analytics for IoT alternatives can be found in IoT Analytics Platforms but may also be in Container Management Software or Time Series Intelligence Software.
Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
Portainer is a universal container management platform to deploy, configure, troubleshoot, and secure containerized applications across cloud, data center, edge, and Industrial IoT use cases. Portainer is trusted by customers across various industries, including financial services, information technology, manufacturing, energy, automotive, and healthcare, to simplify container adoption securely and with exceptional speed. Portainer offers the perfect blend of infrastructure versatility, self-service freedom, and compliance guardrails to deliver containerized applications in a way that suits every part of the organization. Portainer provides extensive support for container orchestrators across every deployment scenario and helps bridge the knowledge gap within every organization.
TrendMiner is a fast, powerful and intuitive advanced industrial analytics platform designed for real-time monitoring and troubleshooting of industrial processes. It provides robust data collection, analysis, and visualization enabling everyone in industrial operations for making smarter data-driven decisions efficiently to accelerate innovation, optimization, and sustainable growth.
With Seeq, you and your team can rapidly investigate and share analyses from operations and manufacturing data sources to find insights and answer questions. Designed specifically for analyzing process data, Seeq works across all verticals with time series data in historians or other storage platforms.
Rancher is an open-source platform for managing containers that provides a full set of infrastructure services for containers, including networking, storage services, host management and load balancing, work across any infrastructure, and make it simple to reliably deploy and manage applications.
Elasticsearch is a distributed, open source search and analytics engine, designed for horizontal scalability, reliability, and easy management. It combines the speed of search with the power of analytics via a sophisticated, developer-friendly query language covering structured, unstructured, and time-series data.
Siemens Insights Hub is the cloud-based IoT operating system that connects your products, plants, systems, and machines, enabling you to harness the wealth of your data with advanced analytics. Siemens Insights Hub also gives you access to a growing number of apps and a dynamic development platform as a service (PaaS).
Troubleshoot slowdowns and anomalies in your infrastructure with thousands of per-second metrics, meaningful visualizations, and insightful health alarms with zero configuration.
Get accurate visual representations of current operating conditions from data across your entire plant. Recognizing the needs of process industry operators, engineers, management and executives, dataPARC’s decision support and analysis software delivers immediate value to both plant personnel and your bottom line. dataPARC empowers users with its intuitive, user-friendly, feature-rich analytical and troubleshooting modules. It’s a practical, turnkey solution that delivers on the promise of plant-wide data integration and utilization.