Dagster vs Iteratively
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Iteratively helps teams capture reliable product analytics they can trust. It eliminates the most common causes of error during the definition and implementation of tracking plans, and cuts down on the time it takes to correctly instrument the product. As a result, folks that consume product analytics get exactly what they spec'd out and can rely on the incoming data knowing it is trustworthy and accurate. | It is an orchestrator that's designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports. |
Single source of truth for your product analytics events;
Generates a strongly typed library for your analytics with cross-platform support (Typescript, Kotlin, Swift, etc..);
Integrates with the 3rd party and custom backends (Amplitude, Mixpanel, Segment, Intercom, etc...);
Established best practices for taxonomy and naming convention;
Quality assurance built in with code linting and runtime analysis;
Generate automatic & beautiful documentation | Manage your data assets with code;
A single pane of glass for your data platform;
From pull request to production. Effortlessly;
Monitor runs across all your jobs in one place with the run timeline view |
Statistics | |
GitHub Stars - | GitHub Stars 14.3K |
GitHub Forks - | GitHub Forks 1.9K |
Stacks 6 | Stacks 27 |
Followers 16 | Followers 17 |
Votes 0 | Votes 0 |
Integrations | |
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