Develop data 100x faster and take data to production down from 2 weeks to 2 hours.
Save hours developing and maintaining ETL/ELT data pipelines in an easy-to-use environment made for effortless debugging.
Visualize changes pre-deployment to ease dev processes, expedite testing, and simplify debugging
Foster team collaboration and save time on the most painful development stages by working with Python and our easy-to-use interface.
Match your business strategy with the stack made for effective modern data teams.
Consolidate any amount of data, in any format and from endless sources with zero data storing processing hesitations.
Keep up with data velocity, minimize latency, and stagger throughput for any environment, leveraging Apache Kafka™ and Kubernetes™.
Identify and pinpoint issues with real-time data observability tools, zoom-in, and troubleshoot data pipelines thoroughly and accurately.
Guarantee the most accurate data with error flagging and real-time debugging within specific data processes and across pipelines in their entirety.
Utilize compute, storage, and network bandwidth to efficiently auto-scale your infrastructure as data volume and velocity increase.
Achieve deployment freedom with advanced data pipeline tools made for maximum control within any size environment no matter the deployment location.
Deployed locally in your own environment utilizing your own security.
Deployed in your own cloud environment, opt-in and fully customize configurations
Deploy using external marketplace services (AWS, GCP, Azure, and more)
Fill out the short form below