Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Actian Data Observability is an advanced platform leveraging AI to continuously oversee, validate, and maintain the integrity, quality, and dependability of data within contemporary data environments. This system employs automated Data Observability Agents that assess the data as it enters data lakehouses or warehouses, identifying anomalies, elucidating root causes, and facilitating problem resolution before these issues can affect dashboards, reports, or AI applications. By providing instantaneous visibility into data pipelines, it guarantees that data remains precise, comprehensive, and reliable throughout its entire lifecycle. Unlike traditional methods that depend on sampling, it eradicates blind spots by monitoring the entirety of the data, which empowers organizations to uncover concealed errors that may compromise analytics or machine learning results. Furthermore, its integrated anomaly detection, driven by AI and machine learning technologies, allows for the early identification of irregularities such as changes in schema, loss of data, or unexpected distributions, leading to more rapid diagnosis and resolution of issues. Overall, this innovative approach significantly enhances the organization's ability to trust in their data-driven decisions.
Description
We excel in Data Quality and Machine Learning Model solutions tailored for enterprises navigating multi-cloud environments, modern data management, and machine learning ecosystems.
Our algorithms are designed to identify Data Anomalies across databases in Azure, GCP, and AWS, enabling you to assess and oversee data challenges from all your cloud database management systems and data silos through a singular, integrated platform.
Perceptions of quality can vary significantly among different stakeholders within an organization. Qualdo stands at the forefront of streamlining data quality management issues by presenting them through the perspectives of various enterprise participants, thus offering a cohesive and easily understandable overview.
Implement advanced auto-resolution algorithms to identify and address critical data challenges effectively. Additionally, leverage comprehensive reports and notifications to ensure your enterprise meets regulatory compliance standards while enhancing overall data integrity. Furthermore, our innovative solutions adapt to evolving data landscapes, ensuring you stay ahead in maintaining high-quality data standards.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
Microsoft Azure
Yes
Amazon Redshift
Yes
Apache Hudi
Yes
Apache Iceberg
Yes
Apache Spark
Yes
Asana
Yes
Databricks
Yes
Delta Lake
Yes
Integrations
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
Microsoft Azure
Yes
Amazon Redshift
No
Apache Hudi
No
Apache Iceberg
No
Apache Spark
No
Asana
No
Databricks
No
Delta Lake
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Actian
Founded
1980
Country
United States
Website
www.actian.com/data-observability/
Vendor Details
Company Name
Qualdo
Country
United States
Website
www.qualdo.ai/
Product Features
Product Features
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No