Metaplane
Telmai
Iteratively
Truth{set}
Masthead Data
Census
Datafold
ULOSINO
Percival
DataQuest Beta
The Web in Real-Time
SharpDash
Motion Project
Think with Google
Date Night Questions
Deepnote
Data teams are often the last to know about data quality issues, finding out only when downstream data consumers complain about broken dashboards. Metaplane solves this problem by continuously monitoring the entire data stack, alerting teams when something goes wrong, and providing context about what caused the issue.
Metaplane is the only data observability tool that is free to try and can be setup in under 10 minutes. After connecting your warehouse, our test engine automatically adds thousands of tests for row counts, freshness, and statistical properties, all without writing a single line of code.
Using your query history, transformation tool and BI tools, Metaplane can construct lineage across your entire data stack. When an issue is spotted, Metaplane will send you an alert to Slack or email and provide context about what may have caused the issue as well as what could be impacted.
Metaplane PercivalNo Percival videos yet. You could help us improve this page by suggesting one.
Based on our record, Percival should be more popular than Metaplane. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
After evaluating few solutions in the market: We were in the market to hunt for a solution which will cost under 10k (yearly) considering the cost of opensource will be similar considering DE resource and maintenance cost etc 1. MonteCarlo - Super duper expensive - Unable to hosting in Google Cloud 2. BigEye - Good features 3. Metaplane - Overall good package but when compared to catalog and other features it... Source: about 1 year ago
You could theoretically use Datalog anywhere you're currently using a SELECT SQL statement - it's a declarative way to produce a set of tuples given some existing sets of tuples. But, Datalog is much better at deductive reasoning compared to SQL. There's a great interactive tutorial here: https://percival.ink/ You can also see how Souffle itself can be useful in this blog post:... - Source: Hacker News / over 1 year ago
I haven't written a parser with Chumsky, bit I've played with a little one a bit if you wanna see an example syntax. The error reporting for this project is implemented with `ariadne` which is also really slick. Parser: https://github.com/ekzhang/percival/blob/main/crates/percival/src/parser.rs Error reporting: https://github.com/ekzhang/percival/blob/main/crates/percival/src/errors.rs Datalog playground:... - Source: Hacker News / almost 2 years ago
Telmai - Monitor your customer data quality in real-time
DataQuest Beta - Codecademy for Data Science
Iteratively - Collaborate with your entire team to ship high-quality analytics faster and be confident in the results.
The Web in Real-Time - See How Quickly Data is Generated
Truth{set} - Measuring the quality of consumer data
SharpDash - Get an admin dashboard for your product in 5 minutes!