Software Alternatives & Reviews

Iteratively VS Metaplane

Compare Iteratively VS Metaplane and see what are their differences

Iteratively logo Iteratively

Collaborate with your entire team to ship high-quality analytics faster and be confident in the results.

Metaplane logo Metaplane

Metaplane is the Datadog for Data — a data observability tool that continuously monitors your data stack, alerts you when something goes wrong, and provides relevant metadata to help you debug.
  • Iteratively Landing page
    Landing page //
    2023-08-06
  • Metaplane Landing page
    Landing page //
    2023-07-31

Data Observability for Modern Data Teams

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.

How Metaplane Works

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.

Iteratively

$ Details
freemium
Platforms
Web iOS Android JavaScript TypeScript Python Objective-C Ruby .Net Java Kotlin
Release Date
2019 September

Metaplane

$ Details
freemium
Platforms
Snowflake BigQuery Redshift MySQL PostgreSQL Mode Tableau Looker Sigma Dbt
Release Date
-

Iteratively videos

DC_THURS w/ Patrick Thompson, CEO of Iteratively

More videos:

  • Review - ReLiS: A Tool for Conducting Systematic Reviews Iteratively
  • Review - Locally Optimistic Tool Talk - Iteratively

Metaplane videos

MetaPlane Play to Earn NFT Game | ZPlane is now MetaPlane w/ new partners | Soral Trading

More videos:

  • Demo - Data observability for everyone: A Metaplane Demo (Kevin Hu)
  • Review - MetaPlane: Click-to-Earn Play-to-earn Game Overview

Category Popularity

0-100% (relative to Iteratively and Metaplane)
Analytics
57 57%
43% 43
Web Analytics
100 100%
0% 0
Developer Tools
40 40%
60% 60
Productivity
42 42%
58% 58

User comments

Share your experience with using Iteratively and Metaplane. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Metaplane seems to be more popular. It has been mentiond 1 time 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.

Iteratively mentions (0)

We have not tracked any mentions of Iteratively yet. Tracking of Iteratively recommendations started around Mar 2021.

Metaplane mentions (1)

  • Thoughts around decube.io (data observability and catalog platform)
    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

What are some alternatives?

When comparing Iteratively and Metaplane, you can also consider the following products

Census - the #1 Reverse ETL tool for data teams

Truth{set} - Measuring the quality of consumer data

Segment - We make customer data simple.

Telmai - Monitor your customer data quality in real-time

Fresh Paint - Microsoft's new painting software with more realistic brushes for Windows 10

Segment Protocols - Quality control for customer data