Databand is powered by a team of data engineers and ML enthusiasts with a passion for helping data teams scale.
Data engineers manage the backbone for modern data products. They build the foundations for all data science and analytics efforts. But for the average data engineer, it’s a challenge to make sure processes are successfully running data is up to quality standards. For companies whose revenue and operations depend on accurate, on-time data flows, that’s a huge problem.
We built Databand to help data engineers monitor and manage the fragmented suite of modern tools. Databand is the only observability solution plugged into the open source ecosystem of solutions that all leading teams are using. Because we are so integrated, we can provide a deeper understanding of how your infra is performing, how much it’s costing you, and how accurate the data is so that you can unlock data engineering productivity.
Contributions to the Ecosystem
We’ve benefited greatly from the work of other developers in our ecosystem, we want to share the love.
These are some recent contributions we’ve made to Apache Airflow:
Together with our friends from Polidea we created a new executor useful for debugging and DAG development purposes. This executor executes single task instance at time and is able to work with SQLite and sensors.
This feature improves query performance in Airflow by changing numerous single selects / updates in base, scheduler, and backfill jobs to bulk operations. On average, the number of queries was reduced by ~14% and query performance was improved by ~10.9%.
If you are a relentless builder and passionate about data, give us a shout!
Databand is hiring in business and technical roles. We are customer focused and an engineering-driven organization. We’d love to hear from you.
Seeking full stack engineers with team lead or management experience.
Location: Tel Aviv
Seeking a customer-oriented data engineer with experience working with python, Airflow, and Spark.
Location: New York, Tel Aviv
Seeking individuals with technical experience, preferably in the data field, and experience in customer support or sales.
Location: New York