Based on our record, ifttt seems to be a lot more popular than Kafka Streams. While we know about 179 links to ifttt, we've tracked only 14 mentions of Kafka Streams. 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.
What I've done instead is, for any recurring event that isn't really due on that date, like "book a haircut" or "fertilize roses", I add an event on a Google Calendar called "Tickler" with the desired recurrence. I then have an IFTTT (https://ifttt.com/explore) integration that creates a Todoist event in my inbox whenever that event shows up on my calendar. It doesn't show up with a due date so I can schedule it... Source: almost 2 years ago
Or head to the Explore page and see if anything grabs your attention. Source: about 2 years ago
Slack has a feature to schedule messages, also a bunch of bots that do various scheduling tasks… Also you could use a email marketing tool like Mailchimp that could allow you scheduling Mails far a head. But any service you choose should be around somewhat longterm right? It will probably require some money and a bit of luck for the service or app of choice to stay around for a while. So ideally something relying... Source: over 2 years ago
I don’t know about the air tag nativity, which it probably does. But you can do that with any smartphone they has gps; with an app / website called ifttt. Source: over 2 years ago
There's also some automation that you can do with something like https://ifttt.com/explore. Source: over 2 years 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 1 year ago
We’re not discussing the technical details behind the deduplication process. It could be Apache Flink, Apache Spark, or Kafka Streams. Anyway, it’s out of the scope of this article. - Source: dev.to / over 2 years ago
In pub-sub systems, you cannot have multiple services to consume the same data because the messages are deleted after being consumed by one consumer. Whereas in Kafka, you can have multiple services to consume. This opens the door to a lot of opportunities such as Kafka streams, Kafka connect. We’ll discuss these at the end of the series. - Source: dev.to / over 2 years ago
Internally, Streamiz use the .Net client for Apache Kafka released by Confluent and try to provide the same features than Kafka Streams. There is gap between these two library, but the trend is decreasing after each release. - Source: dev.to / over 2 years ago
Both Kafka and Pulsar provide some kind of stream processing capability, but Kafka is much further along in that regard. Pulsar stream processing relies on the Pulsar Functions interface which is only suited for simple callbacks. On the other hand, Kafka Streams and ksqlDB are more complete solutions that could be considered replacements for Apache Spark or Apache Flink, state-of-the-art stream-processing... - Source: dev.to / over 2 years ago
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Make.com - Tool for workflow automation (Former Integromat)
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.
Apache Storm - Apache Storm is a free and open source distributed realtime computation system.