Actian Data ObservabilityActian
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Related Products
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About
Actian Data Observability is an AI-powered platform designed to continuously monitor, validate, and manage the health, quality, and reliability of data across modern data environments. It uses automated Data Observability Agents that validate data as it arrives in data lakehouses or warehouses, detecting anomalies, explaining root causes, and coordinating resolution before issues impact dashboards, reports, or AI systems. It provides real-time visibility into data pipelines, ensuring that data remains accurate, complete, and trustworthy throughout its lifecycle. It eliminates blind spots by monitoring 100% of data rather than relying on sampling, allowing organizations to identify hidden errors that could otherwise corrupt analytics or machine learning outcomes. With built-in anomaly detection powered by AI and machine learning, it proactively identifies irregularities such as schema changes, missing data, or unexpected distributions, enabling faster diagnosis and resolution.
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About
arcodash is a hosted business-intelligence and data-observability application for teams that need shared SQL reporting and checks on the data behind their dashboards. Users connect supported databases, warehouses, and other sources, explore data with a SQL editor or plain-language query assistance, and build charts, tables, metrics, and dashboards. Scheduled refreshes keep reports current. Data monitors can test conditions such as freshness, row counts, null rates, duplicates, and query thresholds, then send notifications through configured channels including email, Slack, and incident or team-messaging tools. AI features can help draft SQL, suggest visualizations and checks, and explain alerts using an organization's configured model provider. The cloud service is designed for data and analytics teams that create reports and monitor the underlying data quality.
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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
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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
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Audience
Data engineers and analytics teams who need to proactively monitor and ensure data quality across pipelines to support reliable AI and business decisions
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Audience
Data and analytics teams of 10 to 300 people who write SQL and own the company's dashboards.
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$59/month
Team costs $59/month or $600/year and includes unlimited seats, one data source, 1,500 monthly query runs, 25 monitors, and refreshes and checks as often as daily. Org costs $300/month or $3,000/year and includes unlimited seats, unlimited data sources, query runs, and monitors, with any schedule. Both plans include a 14-day free trial with no credit card.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationActian
Founded: 1980
United States
www.actian.com/data-observability/
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Company Informationarcodash
Founded: 2026
Israel
www.arcodash.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Amazon Redshift
Supported
Databricks
Supported
Google Cloud BigQuery
Supported
MongoDB
Supported
PostgreSQL
Supported
SQL Server
Supported
Snowflake
Supported
Amazon Web Services (AWS)
Supported
Apache Hudi
Supported
Datadog
Not Supported
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Integrations
Amazon Redshift
Supported
Databricks
Supported
Google Cloud BigQuery
Supported
MongoDB
Supported
PostgreSQL
Supported
SQL Server
Supported
Snowflake
Supported
Amazon Web Services (AWS)
Not Supported
Apache Hudi
Not Supported
Datadog
Supported
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