MetricsWatch
metricswatch.comDeliver analytical reports by email and monitor configured data anomalies.
Deliver analytical reports by email and monitor configured data anomalies.
Query fresh analytical data through a distributed OLAP datastore with SQL and REST access paths.
Investigate business-data changes with conversational analysis, visible queries and repeatable analytical runs.
Run analytical SQL queries against column-oriented data in ClickHouse.
A self-operated distributed SQL database for workloads that need transactional and analytical processing.
Write analytical reports with SQL, Markdown and components in a code repository.
Prepare, analyze and share data through visible workflows, interactive reports and reusable components.
Build interactive analytical boards from supplied data and embed them in a broader reporting experience.
Prepare connected business data and turn it into interactive reports and dashboards.
Prepare supplied business datasets, fit statistical models and regenerate tables or reports from analytical code.
Run DuckDB-based analytics in a managed cloud warehouse and share results with a team.
An analytical database offered as a managed service and as a self-managed engine.
Unify acquisition cost, attribution and revenue data for cross-channel marketing analysis.
Explore connected business datasets using a shared metric catalogue and dashboards.
A distributed columnar store for analytical workloads on data that continues to change.
A distributed SQL engine for real-time analytics, data warehousing, and search workloads.
Visual AI workspace that applies analytical frameworks on an infinite canvas
Prepare connected business data, define shared metrics and explore it through visual cloud analytics.
Collect marketing and commerce data for dashboards, reports and analytical exports.
Follow campaign visitors through website events and compare attribution and funnel reports.
Explore shared analytics canvases and inspect the reasoning behind AI answers.
Embed self-service analysis, custom dashboards and formatted reports in your software.
Run analytical SQL in an embedded database from a local process or Python program.
A managed, PostgreSQL-compatible database on Google Cloud with a console-based SQL workflow.