Airflow Alternatives – Temporal, Flyte, Dagster
Date: Wednesday, May 7, 2025
Time: 17:00–18:30
Location: Online
Language: Hebrew
Choosing the right workflow orchestrator can make or break your engineering velocity.
As data pipelines grow more complex and machine learning workloads become increasingly production-critical, traditional tools like Airflow often hit their limits.
In this webinar, we’ll explore three modern alternatives—Temporal, Flyte, and Dagster—designed to meet the demands of today’s backend and data engineering environments.
You’ll gain a clear, side-by-side understanding of each tool’s approach to orchestration, their strengths and trade-offs, and how they’re used in real-world systems. Each session includes a practical walkthrough, a live demo, and implementation insights from engineers who’ve used these tools to solve real challenges at scale.
On the Agenda:
17:00–17:10
Opening Remarks
A quick introduction to the session, what to expect, and how to get the most out of the talks.
17:10–17:35
Managing Workflows with Temporal.io // Meidan Zemer, Software Architect, IONIX
Temporal is a platform for running complex, long-running workflows with built-in resilience and reliability.
In this session, we’ll explore the core concepts behind Temporal, show how to define and manage workflows, and share practical tips for smooth implementation.
17:35–18:00
Flyte in Action: Streamlining Your Data Operations // Moti Zamir, Backend & Data Engineer, Tikal
Flyte is an open-source orchestrator built for scalable and maintainable data and ML pipelines.This session will cover how Flyte works, walk through real use cases in a live demo, and share best practices for managing distributed workflows effectively.
18:00-18:30
Managing Workflows with Dagster // Alexander Chernov, Backend Engineer, Tikal
Dagster is a modern data orchestrator that simplifies building, deploying, and monitoring workflows.We’ll look at its core features, show how to define and run workflows through a live demo, and highlight practical strategies for using Dagster in production.
Who Should Join?
Backend, Data, and ML Engineers working with distributed systems and pipelines
Tech Leads and Architects evaluating orchestration solutions
Platform Engineers and Infra-focused Devs supporting data and ML workflows
Please Note:
Registering through this page is an application for approval and will be reviewed by the team before tickets are confirmed.
By registering for this event, you acknowledge that you agree to receive emails from Tikal.
Learn more about Tikal → Here
See you soon!