Blynk is a low-code IoT software platform for connecting devices to the cloud, building mobile apps to remotely control and monitor them, and managing thousands of users and deployed products. It’s a PaaS (Platform-as-a-Service) that helps businesses and individuals seamlessly progress from a prototype of a connected product to its commercial launch and further growth.
Based on our record, Apache Flink should be more popular than Blynk.io. It has been mentiond 29 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Blynk — A SaaS with API to control, build & evaluate IoT devices. Free Developer Plan with 5 devices,Free Cloud & data storage. Mobile Apps also available. - Source: dev.to / over 1 year ago
Https://blynk.io/ (you can find an example that uses their legacy API in one of my releases). Source: over 1 year ago
Like it says, to try and keep up with the changing well levels in the summer at my house, I put together a project to monitor well water levels and update a Blynk app. Source: almost 2 years ago
Agreed about google and would add clarity. In the field of IT clarity is critical. If OP had said blynk.io, the .io would have clicked with me that it was a web site. Another guy just asked about PS/2 - I thought he meant the keyboard/mouse interface. Others twigged that he meant Playstation 2. Source: over 2 years ago
Oh, I'm not familiar with blynk.io thanks for the clarification. Source: over 2 years ago
I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / 11 days ago
You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / 25 days ago
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / about 2 months ago
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months ago
Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago
ThingSpeak - Open source data platform for the Internet of Things. ThingSpeak Features
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
AWS IoT - Easily and securely connect devices to the cloud.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Ubidots - A cloud service to capture and make sense of sensor data
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.