Telmai Unveils New Release Aimed at Facilitating Data Observability Adoption

According to a new press release, Telmai, an AI-driven data observability platform, has introduced a significant new release featuring seven pioneering features aimed at simplifying and accelerating data observability adoption within enterprises. With the growing complexity of the data landscape, Telmai’s release addresses the need for continuous, reliable data flow. This release empowers data professionals to utilize advanced time travel features, construct multi-attribute data contracts, conduct thorough root cause analysis of data failures, and enhance data privacy and residency control through private cloud options.

“We are excited to bring Telmai’s most significant release to the market to date,” said Mona Rakibe, co-founder and CEO of Telmai. “We’ve drawn inspiration from our enterprise customers to build a product that redefines the future of data reliability.”

One standout feature is “Time Travel Analysis,” which offers retrospective analysis of historical data to train anomaly detection models instantly, eliminating the lengthy learning period typically required. This assists in building trust in data quality metrics. Additionally, Telmai introduces a “Bring Your Own Cloud” (BYOC) option for AWS, GCP, and Azure, enabling enterprises to deploy Telmai within their cloud accounts while preserving data privacy.

Telmai’s platform is designed for open architecture, facilitating the monitoring of heterogeneous data pipelines across SQL and NoSQL databases, files, and event streams. The release also includes features like metadata monitoring, cross-system data lineage visualization, and data binning, enhancing data observability across the entire pipeline. Furthermore, Telmai strengthens its ability to identify attribute-level data issues in depth and at scale, allowing users to define complex expressions over multiple attributes.

The release follows Telmai’s recent achievements, including securing $5.5 million in seed funding, forming strategic partnerships with Google Cloud, Snowflake, and Databricks, and being recognized as a leader in the 2023 GigaOm Radar Report for Data Observability.