Joint Webinar with CONFLUENT - The original creators of Apache Kafka®
Our no-code user interface is the all-familiar spreadsheet. But that’s all what Streamsheets have in common with traditional spreadsheets.
While spreadsheets are client apps which work with bound and de-coupled batches of data, Streamsheets continuously process, aggregate, visualize and transform unbound data streams in real-time as a server app (microservice).
Streamsheets were designed with publish/subcribe streaming protocols like MQTT, Apache Kafka or AMQP in mind, but they also work perfectly with REST-based protocols (request/response)
Eclipse Mosquitto is the most popular MQTT broker in the world and the perfect streaming platform for Streamsheets. Mosquitto supports unlimited hierarchical topics and the highly flexible publish/subscribe communication pattern.
With the Mosquitto broker you can connect sensors, devices and apps far more flexible than in the request/response communication pattern of traditional client/server architectures.
Eclipse Mosquitto supports guaranteed delivery of messages which allows use cases not only in IoT and Smart Factory, but also in financial and other non-IoT applications.
We include extensive charting features including custom and time-series charts that update with real-time data. No need to install third-party chart extensions. Have a look at our chart gallery.
Streamsheets calculate their formulas on each incoming stream event or based on a cycle timer. You can set the cycle timer to control how often a Sheet receives, processes and sends data.
Real-time event streams from technical or financial applications can have a very high frequencies. Streamsheets are able to run up to 1000 cycles per second to guarantee precise operations.
Streamsheets run on their own, even if you close the browser window. They run as microservices, 24 hours a day, receiving data from multiple sources, transforming it, and sending it out again.
Both Mosquitto and Streamsheets are Eclipse IoT open-source projects which are commercially sponsored by Cedalo. We also offer premium editions of the products under the name "Cedalo Premium Platform"
Our products run as managed service in the Cedalo Cloud, on your AWS or Azure account or on-premises under any major operating system. They even run on edge devices with weak CPUs or on the Raspberry Pi.
Streamsheets precisely monitor and analyse industrial processes. Build your individual IIoT applications interactively while the data flows in.
Analyze financial transactions in real-time. Aggregate, compare, detect anomalies and send alerts in real-time when conditions are met.
Real-time information is crucial for efficient treatment. Combine data from medical sub-systems and create event-driven dashboards & processes.
With the rise of renewable energy sources, plants & energy grids need to react fast. Streamsheets and Mosquitto provide the necessary speed.
Real-time marketing, online shooping and just-in-time delivery need to be in-sync. Streamsheets let you connect and monitor retail chain operations as they happen.
Streamsheets and Mosquitto are an all-in-one solution for analysing, visualising and controlling building and faciltity conditions and operations.
The two Open-Source projects Eclipse Streamsheets and Eclipse Mosquitto are included in the Cedalo Community Platform. Cedalo also offers premium editions. They are called Cedalo Sheets and Cedalo Broker and are included in the Cedalo Premium Platform.
The easiest way to get started with the Premium Platform is our managed service called Cedalo Cloud. It comes with a 14-day money back guarantee.
You can run both the Community Platform and the Premium Platform on-premises on your local machines. Simply follow the instructions on the download page.
Both platform products are very efficient with CPU power and memory consumption. So you can run them directly on edge devices, controllers or the Raspberry Pi.
This blog post introduces the basic operation of Streamsheets. Using the example of a smart WiFi switch with an integrated power consumption meter (Shelly 2.5), we set up a complete Streamsheet use case within 10 minutes.
In this video post you see how you can build a Streamsheet that receives data from Shopify via Apache Kafka. The resulting Streamsheet generates aggregations and charts to serve as a real-time dashboard for a Shopify online shop.
In this video post you learn how you can build a cloud-based Streamsheet that serves as a gateway between Shopify webhooks (executed by a Shopify Online Store) and Apache Kafka (hosted on Confluent Cloud).
This week we had the pleasure to record a 10-minute video session with Roger Light, the project lead of the Eclipse Mosquitto MQTT project.
Using the example of a smart WiFi switch with an integrated power consumption meter (Shelly 2.5), we set up a complete Streamsheet use case within 10 minutes.
Find out how to build a dynamic dashboard that analyzes and visualizes data in realtime.
In this post I will integrate an artificial intelligence based technology named Snips to control a sorting process in real-time.
In this blog you find a 4 minute video that shows how to control an industrial machinery that sorts incoming parts according to their color and shape.
We will build our own intelligent speech assistant to control the lighting in several rooms.
Have you ever wondered how to simulate data for your individual use cases quickly?
We will implement an always online, always running rule engine that controls an electrical switch.