Software Alternatives, Accelerators & Startups

Digna AI VS decube

Compare Digna AI VS decube 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.

decube logo decube

Reliable Data, Better Decision
  • 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.

  • decube Incident raised from Data Observability
    Incident raised from Data Observability //
    2024-02-12
  • decube Discovery - Catalog of Assets
    Discovery - Catalog of Assets //
    2024-02-12
  • decube List of Available Test Types
    List of Available Test Types //
    2024-02-12
  • decube Details for Data Jobs in Catalog
    Details for Data Jobs in Catalog //
    2024-02-12

decube is an all-in-one package solution for data observability, catalog and governance. We provide a feature-rich solution for organizations who want a unified solution for their data stack for different groups of users to discover, curate and collaborate on data assets all in one place.

Here's what you can expect after using decube: - Spend less time fire-fighting data incidents and build trust with internal stakeholders from reliable data. - Get complete visibility and understanding of data going into AI/ML models to develop accurate models for real business impact. - Discover quickly the data you need to make informed decisions and break down data silos between teams. - Protect your sensitive and PII data by implementing strict access controls to only allow access to teams that need to know.

Digna AI

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

decube

Website
decube.io
$ Details
paid Free Trial
Platforms
Web
Release Date
2022 November

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

decube features and specs

  • Automated Data Quality Monitoring: Yes
  • Automated Data Cataloging: Yes
  • Data Lineage: Yes
  • Data Reconciliation: Yes
  • No code data source integrations: Yes
  • Slack alerts: Yes
  • Email alerts: Yes
  • Manual Lineage: Yes
  • Group-based access control: Yes
  • Table-level access control: Yes

Digna AI videos

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decube videos

Learn more about data observability

Category Popularity

0-100% (relative to Digna AI and decube)
Data Management
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Data Observability
100 100%
0% 0
Data Quality
78 78%
22% 22

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Digna AI and decube

Digna AI Reviews

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decube Reviews

  1. One of the best UI/UX in data observability space!

    I tried their trial version, absolutely stunned how they think from data engineer point of view. Their recon is quite unique and fast to process. I was amaze to see SSH connection selection with Postgresql.

    🏁 Competitors: decube.io, Monte Carlo Data, Altan
    👍 Pros:    Well designed|Good price
    👎 Cons:    Pager duty integration

Social recommendations and mentions

Based on our record, decube seems to be more popular. It has been mentiond 9 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.

decube mentions (9)

  • i just want sleep
    Just deploy - decube.io or soda.io and go to sleep. Source: about 1 year ago
  • Great expectations?
    I went with a managed service which is way cheaper (decube.io) . Its way cheaper too <10k / year. Source: about 1 year ago
  • Thoughts around decube.io (data observability and catalog platform)
    Decube was the one we boiled down to - fairly a new company based in Singapore and provides hosting option too on all clouds. Source: about 1 year ago
  • [Sample Code] : Data quality null check for Airflow vs GreatExpectations [GE]
    Agreed, my reservation with GE,dbt_GE or Soda is that it doesn't help in Metadata Lineage. So if jobs fail I don't know what the downstream impact. We can use Datahub, but hosting cost is around 6-10k per year. I would rather buy something like decube.io or Metaplane. Source: about 1 year ago
  • [Sample Code] : Data quality null check for Airflow vs GreatExpectations [GE]
    Alternatively to GE, I prefer soda.io (cloud) or decube.io (community edition). Source: about 1 year ago
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What are some alternatives?

When comparing Digna AI and decube, 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.

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

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

Atlan - Atlan is an advanced data workspace developed to offer benefits to many different sources of data.

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.

Alation - Alation is a platform that makes data more accessible to individuals across an organization.