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About

Prevent data outages by identifying and fixing data quality issues before they get into production. Go from 0 to 100% test coverage of your data pipelines in a day. Know the impact of each code change with automatic regression testing across billions of rows. Automate change management, improve data literacy, achieve compliance, and reduce incident response time. Don’t let data incidents take you by surprise. Be the first one to know with automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds. Save hours spent on trying to understand data. Use the Data Catalog to find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling, and consolidation of metadata in one place.

About

Remove the bottlenecks in application development, so administrators and other non-technical users can configure, test, and release apps faster, more reliability, and with less interruption to users. Our AppOps platform automates the entire development lifecycle for low-code applications giving administrators easy to use tools for change management, version control, regression testing, and reference data deployment. Speed through release management by automating tedious reference data deployments between Salesforce orgs. Our templates make managing even the most complex, relational data sets a breeze. So you can deploy faster than you can say change set. Sometimes small changes have unexpected consequences. Not to worry; we’ve got you covered with automated regression testing. Find and fix bugs—before they’re introduced in production. Keep your apps running smoothly and roll out new features with certainty.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Data observability platform that helps companies prevent data catastrophes

Audience

Companies and developers looking for an AppOps platform solution for their low-code applications

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Company Information

Datafold
United States
www.datafold.com

Company Information

Prodly
Founded: 2014
United States
prodly.co/application-operations/

Alternatives

DataBuck

DataBuck

FirstEigen

Alternatives

iSyncSF

iSyncSF

H2TECH Software
Testimony

Testimony

Basis

Categories

Data Observability Supported
Data Quality Supported
DataOps Supported
Regression Testing Supported

Categories

Cloud Migration Supported
DevOps Supported
Regression Testing Supported
Release Management Supported

Integrations

Amazon Redshift Supported
Amundsen Supported
Apache Airflow Supported
Azure Databricks Supported
DataHub Supported
GitHub Supported
GitLab Supported
Google Cloud BigQuery Supported
PagerDuty Supported
PostgreSQL Supported
Salesforce Not Supported
Salesforce CPQ Not Supported
Secoda Supported
Slack Supported
Snowflake Supported
dbt Supported

Integrations

Amazon Redshift Not Supported
Amundsen Not Supported
Apache Airflow Not Supported
Azure Databricks Not Supported
DataHub Not Supported
GitHub Not Supported
GitLab Not Supported
Google Cloud BigQuery Not Supported
PagerDuty Not Supported
PostgreSQL Not Supported
Salesforce Supported
Salesforce CPQ Supported
Secoda Not Supported
Slack Not Supported
Snowflake Not Supported
dbt Not Supported
Claim Datafold and update features and information
Claim Datafold and update features and information
Claim Prodly AppOps and update features and information
Claim Prodly AppOps and update features and information