Software Alternatives, Accelerators & Startups

Digna AI VS Atlan

Compare Digna AI VS Atlan and see what are their differences

Digna AI logo Digna AI

Digna is the game-changing modern data quality platform that effortlessly uncovers anomalies and errors in your data with Artificial Intelligence.

Atlan logo Atlan

Atlan is an advanced data workspace developed to offer benefits to many different sources of data.
  • Digna AI Your Weekly Data Health Overview at a Glance
    Your Weekly Data Health Overview at a Glance //
    2024-04-12
  • Digna AI Navigate through time to get comprehensive insights on your data performance
    Navigate through time to get comprehensive insights on your data performance //
    2024-04-12
  • Digna AI Get daily alerts for your data tables
    Get daily alerts for your data tables //
    2024-04-12
  • Digna AI Immediate Insights into Data Anomalies
    Immediate Insights into Data Anomalies //
    2024-04-12
  • Digna AI Visualizing Data Discrepancies with Digna
    Visualizing Data Discrepancies with Digna //
    2024-04-12
  • Digna AI Ideal Count by Digna's Ai-defined Thresholds
    Ideal Count by Digna's Ai-defined Thresholds //
    2024-04-12
  • Digna AI Instantly Spotting the Anomalies
    Instantly Spotting the Anomalies //
    2024-04-12
  • Digna AI Digna's Holistic Data Observability
    Digna's Holistic Data Observability //
    2024-04-12
  • Digna AI Digna Learns and Recognizes Patterns
    Digna Learns and Recognizes Patterns //
    2024-04-12

Digna is an AI-powered solution designed to meet the challenges of modern data quality management. It's domain agnostic, meaning it seamlessly adapts to various sectors, from finance to healthcare. Digna prioritizes data privacy, ensuring compliance with stringent data regulations. Moreover, it's built to scale, growing alongside your data infrastructure. With the flexibility to choose cloud-based or on-premises installation, Digna aligns with your organizational needs and security policies.

In conclusion, Digna stands at the forefront of modern data quality solutions. Its user-friendly interface, combined with powerful AI-driven analytics, makes it an ideal choice for businesses seeking to improve their data quality. With its seamless integration, real-time monitoring, and adaptability, Digna is not just a tool; it’s a partner in your journey towards impeccable data quality.

  • Atlan Landing page
    Landing page //
    2023-08-23

Digna AI

Website
digna.ai
Platforms
Apache Netezza Oracle Saphana PostgreSQL Snowflake Timescale
Release Date
2020 July

Atlan

Website
atlan.com
Platforms
-
Release Date
2018 January
Startup details
Country
Singapore
City
Singapore
Founder(s)
Prukalpa Sankar
Employees
50 - 99

Digna AI features and specs

  • Autometrics: Digna's pre-defined metrics help easily detect anomalies in your data
  • Autothresholds: Stay on alert of the deviations as you data evolves
  • Forecasting Model: Learns current metrics and predicts future values by detecting patterns
  • Databases: Customizable dashboard to showcase your most important data
  • Notifications: Never miss a single deviation with timely and customizable alerts
  • Security: Set permissions, control who sees what, every single time
  • Dashboards: Customizable dashboard to showcase your data

Atlan features and specs

No features have been listed yet.

Digna AI videos

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Atlan videos

3-Minute Atlan Demo

More videos:

  • Review - ATLAN SAFE OUTDOORS Tent Chair Blind Review Vs. AMERISTEP Tent Chair Blind (WHATS BETTER??)
  • Review - Atlan: Leveraging Founder-market Fit to Build a Global SaaS Brand

Category Popularity

0-100% (relative to Digna AI and Atlan)
Data Management
100 100%
0% 0
Business & Commerce
0 0%
100% 100
Data Quality
100 100%
0% 0
Office & Productivity
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Atlan seems to be more popular. 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.

Digna AI mentions (0)

We have not tracked any mentions of Digna AI yet. Tracking of Digna AI recommendations started around Apr 2024.

Atlan mentions (2)

  • 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
  • Data lake observability
    I've previously built data lakes on AWS with Glue and you get the data catalog for free but it isn't convenient to explore. Enterprise-grade data catalogs such as Alation are full featured and really decent but come at a higher cost. If your preference is open source, check out Atlan and Amundsen. Source: over 1 year ago

What are some alternatives?

When comparing Digna AI and Atlan, you can also consider the following products

Monte Carlo Data - Monte Carlo’s Data Observability platform increases trust in data by eliminating data downtime, so engineers innovate more and fix less.

MarkovML - Simply Drag, drop, and launch AI-powered workflows and applications to unlock your data's full potential.

Collibra - Collibra automates data management processes by providing business-focused applications where collaboration and ease-of-use come first.

Lyftrondata - Lyftrondata is an end-to-end data delivery platform, providing the right digital transformation having rapid automation and optimizations in place, so one can do better management of their inventory.

Octopai - An automated, centralized, cross-platform metadata search engine that enables BI groups to quickly and precisely discover and govern shared metadata.

Upsolver - Upsolver is a robust Data Lake Platform that simplifies big & streaming data integration, management and preparation on premise (HDFS) or in the cloud (AWS, Azure, GCP).