Evidence Cloud
evidence.devWrite analytical reports with SQL, Markdown and components in a code repository.
Write analytical reports with SQL, Markdown and components in a code repository.
Use managed Superset dashboards and SQL exploration without operating the hosting stack.
Collaborative analytics platform for SQL, Python, R, and dashboards
A detective story solved by querying a database
AI data analyst that turns questions into SQL queries, insights and dashboards.
A managed distributed SQL database with a free sandbox cluster.
Use a small Java SQL database in embedded, in-memory, or client/server mode through JDBC.
Develop against a server database that combines JSON documents, key-value access, and SQL++ queries.
AI OKR and performance management software with three named AI models
A Java-based load-testing application for exercising services and analyzing their performance under simulated traffic.
Instrument an application to collect exceptions, slow requests, logs, and performance signals in a hosted monitoring service.
Measure browser page-load and interaction performance with repeatable local or containerized runs.
Query connected SQL, NoSQL and API data through shared analytical datasets and dashboards.
Analyze product funnels and retention using event data already in a warehouse.
Explore connected databases through questions, SQL and shared dashboards.
Diagnose PostgreSQL query performance with continuous statistics and tuning advisors.
Use a reactive document database and JavaScript query functions in a TypeScript backend.
Apple's framework for unit, performance, and UI tests in Xcode projects.
Use network-flow and packet-derived metrics to locate performance degradation across network paths.
An analytical database offered as a managed service and as a self-managed engine.
Multimodal lakehouse for AI data curation, feature engineering, and search
Measure Internet-facing application performance from distributed test locations and trace failures across network dependencies.
Write JavaScript load tests and run them locally or send performance tests to Grafana Cloud.
Capture application errors, stability signals, performance issues, and traces across mobile and web apps.