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Datafold Reviews & Product Details

Datafold is a data observability platform that helps companies prevent data catastrophes. It has a unique ability to identify, prioritize and investigate data quality issues proactively before they affect production. Datafold’s proactive approach to data quality helps data teams gain visibility and confidence in the quality of their analytical data through data profiling, column-level lineage and intelligent anomaly detection. Datafold also helps automate regression testing of ETL code with its Data Diff feature that instantly shows how a change in ETL or BI code affects the produced data, both on a statistical level and down to individual rows and values. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

Seller

Datafold

Product Description

Datafold is a proactive data observability platform that prevents data outages by proactively stopping data quality issues before they get into production. The platform comes with four unique features that reduce the number of data quality incidents that make it into production by 10x. - Data Diff: 1-click regression testing for ETL that saves you hours of manual testing. Know the impact of each code change with automatic regression testing across billions of rows. - Column-level lineage: using SQL files and metadata from the data warehouse, Datafold constructs a global dependency graph for all your data, from events to BI reports that help you reduce incident response time, prevent breaking changes, and optimize your infrastructure. - Data Catalog: Datafold saves hours spent on trying to understand data. Find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling, and consolidations of metadata in one place. - Alerting: Be the first one to know with Datafold's automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds.

Overview by

Lisa Mezhanskaia

Value at a Glance

Averages based on real user reviews.

Perceived Cost

$$$$$

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Datafold Media

Datafold Reviews (24)

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CC

Verified User in Consumer Goods

Mid-Market (51-1000 emp.)

10/7/2021

"A key DataOps tool"

4.5/5

What do you like best about Datafold?

Although Datafold provides several features, their "data diff" and CI integration (Github) is the one that stands out the most. I don't know of any other commercial or open-source dataOps tool which provides this feature or the integration as nicely as Datafold does. Review collected by and hosted on G2.com.

What do you dislike about Datafold?

Nothing stands out as a "dislike". It provides products and functionality which does what they claim. Review collected by and hosted on G2.com.

What problems is Datafold solving and how is that benefiting you?

Datafold helps solve several problems with benefits such as 1) Datafold Datadiff CI with Github surfaces data value and schema downstream issues before it hits production, 2) Datafold Alerts with Slack monitors for known potential issues, data volume anomalies, and business rules and 3) Datafold Column Lineage provides excellent ad hoc query insights into where and how of individual column usage throughout our dbt models. Review collected by and hosted on G2.com.

AM

Verified User in Marketing and Advertising

Mid-Market (51-1000 emp.)

10/12/2021

"Great data catalog and lineage tool for medium-size teams"

4.5/5

What do you like best about Datafold?

It's easy to start with the tool. Datafold team provides excellent support - always reachable and ready to help. They offer a reasonable pricing model. Review collected by and hosted on G2.com.

What do you dislike about Datafold?

While generally, UI is quite good, it has a few minor bugs/glitches and sometimes feels quite raw. Though as it's mentioned above, the support team is always there to collect feedback and follow up on issues. Review collected by and hosted on G2.com.

Recommendations to others considering Datafold:

Works well with Redshift, easy to set up Review collected by and hosted on G2.com.

What problems is Datafold solving and how is that benefiting you?

While the tool is famous for its "Data Diff" feature, we mainly use Data Catalog and Lineage features. It helps us move our "tribal knowledge" about the data to a centralized place and use Datafold as a single source of truth about the data meaning at our company. Review collected by and hosted on G2.com.

UC

Verified User in Computer & Network Security

Small-Business (50 or fewer emp.)

1/12/2022

"Easy to use and user friendly interface"

5/5

What do you like best about Datafold?

Easy access and very user friendly. I like using this tool Review collected by and hosted on G2.com.

What do you dislike about Datafold?

Sometimes laggs, but overall no bigger complaints from me Review collected by and hosted on G2.com.

UW

Verified User in Wholesale

Mid-Market (51-1000 emp.)

10/4/2021

"Powerful, user-friendly tool for data observation and exploration"

4/5

What do you like best about Datafold?

Datafold is easy-to-use and complements my workflow well by helping me quickly understand the data I'm working with Review collected by and hosted on G2.com.

What do you dislike about Datafold?

May struggle with extremely large tables Review collected by and hosted on G2.com.