Telmai vs Looker
Side-by-side comparison of AI visibility scores, market position, and capabilities
Mountain View ML-powered data observability for raw data lakes monitoring 100% of records without sampling; $11.39M Glasswing/.406 Ventures-backed competing with Monte Carlo for data quality monitoring in open lakehouse architectures.
About
Telmai is a Mountain View, California-based AI data observability platform — backed by $11.39 million in total funding including a $5.5 million seed round co-led by Glasswing Ventures and .406 Ventures with Zetta Venture Partners — providing data engineers and data scientists with ML-powered real-time monitoring of data quality across data lakes and warehouses in raw format at scale without data sampling, offering record-level anomaly detection, data drift monitoring, and data quality scoring for open architecture environments (Apache Iceberg, Delta Lake, Hudi) that traditional data observability tools built for structured SQL warehouses cannot adequately monitor. Founded in 2020 and generating $2.6 million in revenue in 2024 (up from $1.5M in 2023) with a 14-person team.
Google Cloud BI platform with LookML semantic layer ensuring consistent metric definitions across enterprises; $2.6B Google acquisition competing with Tableau and Power BI for enterprise self-service analytics.
About
Looker is a business intelligence and data analytics platform now part of Google Cloud — providing the LookML data modeling language, self-service exploration tools, embedded analytics, and natural language querying capabilities that enable data teams to define metrics once and make them available consistently across the organization. Founded in 2012 in Santa Cruz, California by Lloyd Tabb and Ben Porterfield, Looker was acquired by Google for $2.6 billion in 2019 and has been integrated into Google Cloud as the primary BI platform alongside Google Looker Studio (formerly Data Studio).
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