Using Pushwoosh’s tech-easy solutions, 80 000 companies from across the industries have built effective communication strategies with the use of push notifications, in-app messages, emails, SMS, WhatsApp, and omnichannel triggered messaging.
Pushwoosh's answer
At Pushwoosh, we understand our essential role as delivering messages to the right audience at the right time. In the 14 years of experience, we have mastered the art of personalized and contextually relevant messaging. We provide strong data security for you and your end users. Pushwoosh only collects the data that is necessary to ensure relevant communications with end users. Our clients have full control over how we get access to their data. Pushwoosh stores data on private servers located in the US and Germany with safety and regulatory compliance guarantees.
Pushwoosh's answer
Companies from E-Commerce, Foodtech, Fintech, Travel, News & Media, and Gaming industries.
Based on our record, Apache Airflow seems to be more popular. It has been mentiond 75 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.
Is this really true? Something that can be supported by clear evidence? I’ve seen this trotted out many times, but it seems like there are interesting Apache projects: https://airflow.apache.org/ https://iceberg.apache.org/ https://kafka.apache.org/ https://superset.apache.org/. - Source: Hacker News / about 2 months ago
Apache Airflow offers simplicity when it comes to scheduling, authoring, and monitoring ML workflows using Python. The tool's greatest advantage is its compatibility with any system or process you are running. This also eliminates manual intervention and increases team productivity, which aligns with the principles of Platform Engineering tools. - Source: dev.to / 3 months ago
Data orchestration tools are key for managing data pipelines in modern workflows. When it comes to tools, Apache Airflow, Dagster, and Flyte are popular tools serving this need, but they serve different purposes and follow different philosophies. Choosing the right tool for your requirements is essential for scalability and efficiency. In this blog, I will compare Apache Airflow, Dagster, and Flyte, exploring... - Source: dev.to / 3 months ago
Data pipelines: Apache Kafka and Airflow are often used for building data pipelines that can continuously feed data to models in production. - Source: dev.to / 4 months ago
This article demonstrates how to work with near real-time and historical data using the dlt package. Whether you need to scale data access across the enterprise or provide historical data for post-event analysis, you can use the same framework to provide customer data. In a future article, I'll demonstrate how to use dlt with a workflow orchestrator such as Apache Airflow or Dagster.``. - Source: dev.to / 5 months ago
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Make.com - Tool for workflow automation (Former Integromat)
Pipefy - Pipefy is a process management software that empowers anyone to create and automate efficient workflows on their own without code.
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.
Kissflow - Kissflow is a workflow tool & business process workflow management software to automate your workflow process. Rated #1 cloud workflow software in Google Apps Marketplace.
Process Street - Create beautiful rich process documents in a simple to follow checklist format. Fast, free and incredibly simple to use.