Higher accuracy at a lower cost.
Managed Data Pipelines
Running analytics on traditional platforms and data warehouses is computationally taxing and costly, especially at scale. As your underlying data sources evolve, pipelines require careful monitoring — even when designed to account for shifting schemas — to detect and swiftly remediate problems before they fail or, worse yet, yield bad data that lead to misguided business decisions.
Snowflake Managed Pipelines brings peace of mind around the accuracy and sustainability of your businesses-critical data products. As the leading pure-play provider of managed pipeline services for Snowflake workloads, we deliver 24×7 monitoring, management, and administration for your data pipelines and applications, with a focus on driving down cost and delivering the best user experience possible.
Snowflake CloudOps, Security, Pipeline & ML
Get the services and expertise you need to meet your data product lifecycle needs on Snowflake:
WHY TROPOS FOR MANAGED PIPELINES?
A good data pipeline functions like the plumbing in your house: quietly, reliably, and in the background. But as with plumbing, you’ll want on-call professionals who can perform repairs in the event of a leak.
Our experts work around the clock to monitor and maintain data pipelines to help ensure your business-critical data is there when you need it, at the level of quality that you expect. Driven by proactive alerting, weekly account synchronization, and continues learning to fit your business needs.
Enterprise pipelines consist of everything from batch to streaming and structured to unstructured data sets. Landing on best practices and tools required to support each iteration of these pipelines introduces significant risk — leading to increased time, increased cost, prolonged incident response times, and root cause analysis that varies for each pipeline.
Tropos has experience supporting and managing business critical applications on an SLA basis. In addition, Tropos is the key to unlocking critical future pipeline development by defining what elements a successful pipeline should implement and which best practices to follow. This leads to greater confidence in the development process and delivers higher quality results in the output.
Vigilance around security
In the world of data security, little mistakes can cause massive damage. Too many data teams rely on highly manual processes while lacking engineering experience or familiarity with the technologies they’re using — which is exactly how someone accidentally creates an over-permissive role or makes an Object Storage bucket public.
At Tropos, we understand enterprise security required to support ingestion, transformation, and reporting on all things Snowflake. Our security and governance processes, frameworks, and automation are used in mission critical settings to safeguard both data and brands — with controlled and defined processes for users, applications, and workspaces.