Databand is an observability platform for data engineering teams. Data engineering teams are responsible for managing a wide suite of powerful tools but lack the utilities they need to make sure their ops are running properly. Databand fills this gap with a solution that enables teams to gain a global view of their data flows, make sure pipelines complete successfully, and keep tabs on resource consumption and costs. Databand fits natively in the modern data stack, plugging seamlessly into tools like Apache Airflow, Spark, Kubernetes, and various ML offerings from the major cloud providers.
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. Databand is a series A stage startup operating at the cutting edge of Data Engineering technology. Our mission is to help organizations build better data products and trust in their data. We do that by providing data teams comprehensive visibility into the health of their data pipelines. Thanks to our deep monitoring they can be confident in their quality data and respond proactive
Total Funding: $18.5 M
Funding Stage: Series A
Business Stage: Scaling Up
Market: B2B
Company Size: 26 to 50
Founded: 2018
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Data Engineer
Tel Aviv, Tel Aviv
UI Designer
Tel Aviv, Tel Aviv
Senior UI/UX Designer
Tel Aviv, Tel Aviv
Product Manager
Tel Aviv, Tel Aviv
Senior Backend Engineer
Tel Aviv, Tel Aviv
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