Best IT Management Software for Apache Airflow
View:
Compare the Top IT Management Software that integrates with Apache Airflow as of June 2025
Sort By:
This a list of IT Management software that integrates with Apache Airflow. Use the filters on the left to add additional filters for products that have integrations with Apache Airflow. View the products that work with Apache Airflow in the table below.
What is IT Management Software for Apache Airflow?
IT management software is software used to help organizations and IT teams improve operational efficiency. It can be used for tasks such as tracking assets, monitoring networks and equipment, managing workflows, and resolving technical issues. It helps streamline processes to ensure businesses are running smoothly. IT management software can also provide accurate reporting and analytics that enable better decision-making. Compare and read user reviews of the best IT Management software for Apache Airflow currently available using the table below. This list is updated regularly.
-
1
Stonebranch
Stonebranch
Universal Automation Center (UAC) is a real-time IT automation platform designed to centrally manage and orchestrate tasks and processes across hybrid IT environments - from on-prem to the cloud. Universal Automation Center (UAC) is a software platform designed to automate and orchestrate your IT and business processes, securely manage file transfers, and centralize the management of disparate IT job scheduling and workload automation solutions. With our event-driven automation technology, it is now possible to achieve real-time automation across your entire hybrid IT environment. Real-time hybrid IT automation and managed file transfers (MFT) for any type of cloud, mainframe, distributed or hybrid environment. Start automating, managing and orchestrating file transfers from mainframe or disparate systems to the AWS or Azure cloud and vice versa with no ramp-up time or cost-intensive hardware investments. -
2
Netdata
Netdata, Inc.
The open-source observability platform everyone needs! Netdata collects metrics per second and presents them in beautiful low-latency dashboards. It is designed to run on all of your physical and virtual servers, cloud deployments, Kubernetes clusters, and edge/IoT devices, to monitor your systems, containers, and applications. It scales nicely from just a single server to thousands of servers, even in complex multi/mixed/hybrid cloud environments, and given enough disk space it can keep your metrics for years. KEY FEATURES: 💥 Collects metrics from 800+ integrations 💪 Real-Time, Low-Latency, High-Resolution 😶🌫️ Unsupervised Anomaly Detection 🔥 Powerful Visualization 🔔 Out of box Alerts 📖 systemd Journal Logs Explorer 😎 Low Maintenance ⭐ Open and Extensible Try Netdata today and feel the pulse of your infrastructure, with high-resolution metrics, journal logs and real-time visualizations.Starting Price: Free -
3
Sifflet
Sifflet
Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics. Comprehensive data and metadata monitoring. Exhaustive mapping of all dependencies between assets, from ingestion to BI. Enhanced productivity and collaboration between data engineers and data consumers. Sifflet seamlessly integrates into your data sources and preferred tools and can run on AWS, Google Cloud Platform, and Microsoft Azure. Keep an eye on the health of your data and alert the team when quality criteria aren’t met. Set up in a few clicks the fundamental coverage of all your tables. Configure the frequency of runs, their criticality, and even customized notifications at the same time. Leverage ML-based rules to detect any anomaly in your data. No need for an initial configuration. A unique model for each rule learns from historical data and from user feedback. Complement the automated rules with a library of 50+ templates that can be applied to any asset. -
4
intermix.io
Intermix.io
Capture metadata from your data warehouse and tools that connect to it. Track the workloads you care about, and retroactively understand user engagement, cost, and performance of data products. Complete visibility into your data platform, who is touching your data, and how it’s being used. In these interviews, we’re sharing how data teams build and deliver data products at their company. We also cover tech stacks, best practices and other lessons learned. intermix.io gives you end-to-end visibility with an easy-to-use SaaS dashboard. Collaborate with your entire team, create custom reports, and get everything you need to understand what’s going on in your data platform, across your cloud data warehouse and the tools that connect to it. intermix.io is a SaaS product that collects metadata from your data warehouse with absolutely zero coding required. We never need access to data you've copied into your data warehouse.Starting Price: $295 per month -
5
DoubleCloud
DoubleCloud
Save time & costs by streamlining data pipelines with zero-maintenance open source solutions. From ingestion to visualization, all are integrated, fully managed, and highly reliable, so your engineers will love working with data. You choose whether to use any of DoubleCloud’s managed open source services or leverage the full power of the platform, including data storage, orchestration, ELT, and real-time visualization. We provide leading open source services like ClickHouse, Kafka, and Airflow, with deployment on Amazon Web Services or Google Cloud. Our no-code ELT tool allows real-time data syncing between systems, fast, serverless, and seamlessly integrated with your existing infrastructure. With our managed open-source data visualization you can simply visualize your data in real time by building charts and dashboards. We’ve designed our platform to make the day-to-day life of engineers more convenient.Starting Price: $0.024 per 1 GB per month -
6
emma
emma
emma empowers you with the freedom to choose the best cloud, providers, and environments, to adapt to changing demands, without adding complexity or compromising on control. Simplifies cloud management by unifying services and automating key tasks, reducing complexity. Optimizes cloud resources automatically, ensuring full utilization and reducing overhead. Enables flexibility by supporting open standards, freeing businesses from vendor lock-in. Monitors and optimizes data traffic in real time, preventing cost spikes by reallocating resources efficiently. Create your cloud infrastructure across providers and environments, on-prem, private, hybrid, or public. Manage your unified cloud environment from a single, intuitive interface. Gain the visibility you need to improve infrastructure performance and reduce spend. Take back control over your entire cloud environment and ensure regulatory compliance.Starting Price: $99 per month -
7
Beats
Elastic
Beats is a free and open platform for single-purpose data shippers. They send data from hundreds or thousands of machines and systems to Logstash or Elasticsearch. Beats are open source data shippers that you install as agents on your servers to send operational data to Elasticsearch. Elastic provides Beats for capturing data and event logs. Beats can send data directly to Elasticsearch or via Logstash, where you can further process and enhance the data, before visualizing it in Kibana. Want to get up and running quickly with infrastructure metrics monitoring and centralized log analytics? Try out the Metrics app and the Logs app in Kibana. For more details, see Analyze metrics and Monitor logs. Whether you’re collecting from security devices, cloud, containers, hosts, or OT, Filebeat helps you keep the simple things simple by offering a lightweight way to forward and centralize logs and files.Starting Price: $16 per month -
8
IBM Databand
IBM
Monitor your data health and pipeline performance. Gain unified visibility for pipelines running on cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. An observability platform purpose built for Data Engineers. Data engineering is only getting more challenging as demands from business stakeholders grow. Databand can help you catch up. More pipelines, more complexity. Data engineers are working with more complex infrastructure than ever and pushing higher speeds of release. It’s harder to understand why a process has failed, why it’s running late, and how changes affect the quality of data outputs. Data consumers are frustrated with inconsistent results, model performance, and delays in data delivery. Not knowing exactly what data is being delivered, or precisely where failures are coming from, leads to persistent lack of trust. Pipeline logs, errors, and data quality metrics are captured and stored in independent, isolated systems.
- Previous
- You're on page 1
- Next