Organizations have been engaged on changing into extra data-driven for a few years at this level, with combined outcomes. We perceive that the worth of information is simple. Nonetheless, it has now turn into extra essential than ever for organizations to operate as data-driven entities. The urgency of this situation is underscored by the emergence of AI and ML.
The 2024 State of Apache Airflow helps us perceive the expansion, utilization, and consumer group dynamics of navigating the complexities of information orchestration, information pipelines, and information supply.
The information for the report was compiled by surveying 281 professionals who had been straight or not directly answerable for managing their group’s Airflow cases. This included information engineers, software program engineers, DevOps engineers, and options architects.
The report highlights three crucial tendencies – speedy development in Airflow adoption, rising reliability of Airflow for mission-critical information supply, and Airflow changing into the usual for AI pipelines.
Apache Airflow is an open-source platform for creating, scheduling, and monitoring information and computing workflows. With its graphical UI, integration with main cloud platforms, and ease of use, Airflow is changing into a well-liked software for orchestrating workflows or pipelines.
One of many key findings of the report is that AL and ML services by Airflow spiked by 24 % yr over yr. The highest purposes for Airflow included the inner analytics dashboard, GenAI, and ML. There has additionally been a 68 % improve in Airflow downloads yr on yr with over 165.7 million downloads. Airflow contributors outpace Apache tasks Spark and Kafka with 2.8K contributors
Whereas the AI market is projected to proceed rising, there are some considerations, together with fragmented software stacks, siloed instruments, and a looming menace of stricter compliance and operational necessities.
In keeping with Apache, a rising variety of companies are addressing these considerations utilizing Astronomer – the unified information platform constructed on Apache Airflow service. Astronomer permits organizations to make sure information privateness, and unify information throughout the cloud, crew, and deployments. It additionally helps speed up growth by means of seamless integrations.
The report reveals that Apache Airflow has developed from a distinct segment software to a mission-critical asset. Two-thirds (67 %) of firms have greater than 6 folks utilizing Airflow. This means a rising development of information groups utilizing Airflow to ship enterprise outcomes.
It’s not simply the variety of folks utilizing Airflow that’s spectacular, the frequency of interplay can be excessive. The report reveals that 55 % of customers work together with Airflow day by day, with one other 26 % utilizing it not less than as soon as every week. It seems that firms are rising of their confidence in Airflow and their imaginative and prescient of what the platform can accomplish.
Round half (46 %) of respondents shared that they really feel Airflows is a “crucial” software for his or her enterprise operations. Outages and the necessity for scalability had been the highest two considerations of the respondents. The respondents additionally shared that essentially the most regarding facets of information downtime embrace inner techniques being negatively affected, throttling of information crew productiveness, and points with revenue-generation apps or companies.
The outcomes of the survey spotlight how Apache Airflow meets the rising challenges of information orchestration, scaling, and facilitation of greatest practices. Maybe the best influence of Airflow has been in AI pipeline supply. The momentum positions Airflows as one of many main information orchestration platforms for AI growth and deployment.
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