Enterprise Management Associates (EMA) tested Ridge hands-on. Here's what they found on speed, security, and the real cost of putting analytics in front of every customer.
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Herb Blecher, Enterprise Management Associates (EMA)
Enterprise Management Associates tested Ridge hands-on and found sub-second dashboards on 3 million records, agent-built dashboards that carry plain-English definitions into SQL, and secure per-customer partitioning.
AI has made dashboards easy to create. Putting them in front of thousands of customers is still hard. In this independent Impact Brief, Enterprise Management Associates (EMA) tested Ridge's general availability release hands-on and examined how Ridge turns agent-built dashboards into fast, secure, embedded experiences for real users.
Under 1 second: dashboard interaction on datasets up to 3 million records, computed in the browser.
The Build Agent works from business intent: it profiles the data, proposes the questions a dashboard should answer, and builds once the owner approves. In EMA's testing, plain-English metric definitions carried through to the generated SQL on the first build.
Each Ridge pairs a curated dashboard with an Explore Agent on the same dataset, so end users' follow-up questions don't turn into requests for new dashboards.
Mosaic coordinates every chart and filter against a local DuckDB instance. EMA measured sub-second dashboard interaction on datasets from Ridge's 222,000-record sample up to a 3-million-record dataset.
Browser-side compute removes the per-interaction warehouse cost of server-based tools, so teams can forecast what shared analytics will cost as audiences grow.
Ridge connects to Snowflake, Databricks, BigQuery, Iceberg and object stores, and leaves semantics, transformation and governance where they already live. Each embedded session is scoped to its tenant, customer data is isolated at the row level, and Ridge reports a completed SOC 2 Type 2 audit.
Replacing an embedded BI tool? EMA recommends proving Ridge against your own customer data during the 30-day free trial, which includes partitioning.
"Most AI analytics products compete on how much data an agent can reach. Ridge competes on curated speed, delivering only what the agent and consumer need, in a framework that can live in the browser, compute locally, and remove the warehouse roundtrip."
Herb Blecher, Enterprise Management Associates (EMA)
Herb Blecher is Research Director at Enterprise Management Associates (EMA), where he leads the firm's Data and Analytics practice. His research examines how enterprises architect, govern and operationalize data platforms to drive business outcomes, with a focus on AI/ML platforms, data observability, analytics modernization and data integration. He brings more than two decades of data and analytics experience in financial services and data product development: he has directed national data programs for the U.S. Treasury and the Office of the Comptroller of the Currency, built and managed large-scale data platforms covering 80% of U.S. mortgages, and produced analyses relied on by federal regulators and cited in major financial media. Founded in 1996, EMA is a leading IT research and consulting firm whose independent research, market analysis and vendor evaluations help technology buyers make well-informed decisions.