Unravel

Unravel

Unravel Data
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About

DataKitchen is a DataOps software platform that helps organizations automate data quality testing, monitor data pipelines, and manage analytics workflows. Its product suite includes DataOps Data Quality TestGen, DataOps Process Observability, and DataOps Automation. TestGen automatically profiles databases, generates data quality tests, identifies anomalies, and monitors data reliability across existing data environments. DataOps Process Observability provides end-to-end visibility into data pipelines, datasets, and workflows to detect failures, delays, and performance bottlenecks. DataOps Automation enables teams to orchestrate data pipelines, manage development environments, automate deployments, and integrate testing into production workflows. The platform supports integrations with Snowflake, Databricks, BigQuery, Airflow, dbt, and other data technologies, with open-source and enterprise deployment options.

About

Unravel is an AI-native data observability platform designed to help modern enterprises detect, resolve, and prevent data issues at scale. It uses intelligent, automated agents that work alongside data teams to surface insights, guide decisions, and reduce operational toil. Unravel brings data observability and FinOps together, enabling organizations to improve performance, ensure reliability, and optimize cloud data spending. The platform provides end-to-end visibility across pipelines, workloads, and infrastructure. With agent-driven actionability™, Unravel can take action on behalf of teams, integrate directly with existing tools, or recommend next-best actions. It supports major data platforms including Databricks, Snowflake, and Google Cloud BigQuery. By combining automation with human control, Unravel transforms data observability into a collaborative, always-on partner.

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 Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Data engineers, analytics engineers, data scientists, data architects, DataOps teams, database administrators, business intelligence professionals, IT operations teams, and enterprises seeking automated data quality testing, pipeline observability, data workflow orchestration, and reliable analytics infrastructure

Audience

Unravel is ideal for enterprise data teams, cloud architects, FinOps leaders, and engineering organizations that need AI-driven observability and cost optimization across large-scale data platforms

Support

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

Support

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

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

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

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

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

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

Training

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

Company Information

DataKitchen
Founded: 2013
United States
datakitchen.io

Company Information

Unravel Data
Founded: 2013
United States
www.unraveldata.com

Alternatives

Alternatives

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Categories

Automated Testing Supported
Data Observability Supported
Data Pipeline Supported
Data Quality Supported
DataOps Supported

Categories

AIOps Supported
Data Observability Supported
DataOps Supported
FinOps Supported

Integrations

Amazon EMR Not Supported
Amazon Web Services (AWS) Not Supported
Apache Spark Not Supported
Cloudera Not Supported
Databricks Not Supported
Docker Supported
Git Supported
GitHub Supported
Google Cloud BigQuery Supported
Google Cloud Managed Service for Apache Spark Not Supported
Google Cloud Platform Not Supported
HPE Ezmeral Not Supported
Hadoop Not Supported
Jenkins Supported
Jira Supported
Kubernetes Supported
Microsoft Azure Not Supported
PostgreSQL Supported
SQL Server Supported
Slack Supported

Integrations

Amazon EMR Supported
Amazon Web Services (AWS) Supported
Apache Spark Supported
Cloudera Supported
Databricks Supported
Docker Not Supported
Git Not Supported
GitHub Not Supported
Google Cloud BigQuery Not Supported
Google Cloud Managed Service for Apache Spark Supported
Google Cloud Platform Supported
HPE Ezmeral Supported
Hadoop Supported
Jenkins Not Supported
Jira Not Supported
Kubernetes Not Supported
Microsoft Azure Supported
PostgreSQL Not Supported
SQL Server Not Supported
Slack Not Supported
Claim DataKitchen DataOps Automation and update features and information
Claim DataKitchen DataOps Automation and update features and information
Claim Unravel and update features and information
Claim Unravel and update features and information