Telmai is recognized as a Leader in GigaOm Radar for Data Observability for 2023. The report states, “The platforms’ low-code functionality, considerable automation, and data pipeline support will go a long way with users, as will its attribute-level anomaly detection and support for open architecture.
Presenting our latest evaluation guide, "The Ultimate Guide to Data Observability Tools." This guide is your one-stop resource, designed to simplify the selection process whether you're drafting an RFP or directly assessing platforms.
Assess data observability platforms based on essential parameters such as supported systems, depth of data quality features, scope of remediation, and different pricing models.
Understand different types of data observability tools, their pros and cons, and ideal use cases. Determine which one is right for you by seeing a side-by-side comparison of all four.
Telmai's centralized data observability monitors your data across all formats, across structured, semi-structured, and streaming. Check out our product demo by our Co-Founder/CTO and see for yourself.
Many data product managers are tackling data quality issues on a daily basis. In this talk, Clearbit’s Data Product Manager, Ale Cabrera, and Telmai’s CEO/Co-Founder, Mona Rakibe, discuss how to solve this universal problem pragmatically.
Freshness can be categorized into:Table-level Freshness, Record-level Freshness, and Entity-level Freshness. Read our blog to learn more.
Data quality and data observability are two important concepts in data management, but they are often misunderstood or confused with one another. Understand the what, why, and how of each.
Data Observability has become a critical component of any modern data stack to monitor the stack and ensure data reliability. Learn about centralized data observability and why you should use it.