Related Products
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About
Organizations continuously strive to be more data-driven, building dashboards, analytics, and data pipelines across the modern data stack. Unfortunately, most organizations struggle with data reliability issues leading to poor business decisions and lack of trust in data as an organization, directly impacting their bottom line. Resolving complex data issues is a manual and time-consuming process involving multiple teams all relying on tribal knowledge to manually reverse engineer complex data pipelines across different platforms to identify root-cause and understand the impact. Pantomath is a data pipeline observability and traceability platform for automating data operations. It continuously monitors datasets and jobs across the enterprise data ecosystem providing context to complex data pipelines by creating automated cross-platform technical pipeline lineage.
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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
Organizations searching for an end-to-end observability and traceability solution for data pipelines
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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
Not Supported
Webinars
Not 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 InformationPantomath
Founded: 2022
United States
www.getpantomath.com
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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 Chat
Supported
Google Cloud BigQuery
Supported
Microsoft Teams
Supported
PagerDuty
Supported
SQL Server
Supported
Slack
Supported
Snowflake
Supported
Amazon Athena
Not Supported
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Integrations
Amazon Redshift
Supported
Databricks
Supported
Google Chat
Supported
Google Cloud BigQuery
Supported
Microsoft Teams
Supported
PagerDuty
Supported
SQL Server
Supported
Slack
Supported
Snowflake
Supported
Amazon Athena
Supported
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