ManageEngine RecoveryManager Plus
Heroku Enterprise
SECDO
Lastpass
Traverse Monitoring
Kernel for Exchange Server Recovery
Float
Zoho Assist
Apache Airflow
Make.com
ifttt
Microsoft Power Automate
Pipefy
Pushwoosh
Kissflow
Process Street
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30-day free trial - Download and try RecoveryManager Plus free for 30 days. Test out every feature, like backing up, restoring, and exporting mailboxes to PST files, for any number of mailboxes. Support is included in your trial if you need any assistance.
ManageEngine RecoveryManager Plus Apache AirflowBased 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
Heroku Enterprise - Heroku Enterprise is a flexible IT management for developers that lets them build apps using their preferred languages and tools like Ruby, Java, Python and Node.
Make.com - Tool for workflow automation (Former Integromat)
SECDO - SECDO offers automated endpoint security and incident response solutions
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Lastpass - LastPass is an online password manager and form filler that makes web browsing easier and more secure.
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.