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Soda Core

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Automate data quality detection, explanation, and resolution with AI-powered data observability.

Data QualityAnalyticsAI & Automation
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Reviews onG2
55 reviews tracked

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Significantly reduces false positives in anomaly detection (70% fewer than Facebook Prophet).

Biggest con

No explicit free tier mentioned, suggesting it's a paid solution.

TL;DR - Soda Core

  • Automates data quality detection and resolution using advanced AI.
  • Unifies data quality workflows for both engineers and business users.
  • Provides comprehensive data observability with anomaly detection and AI-driven checks.
Pricing: Free plan available
Best for: Growing teams
4.4/5 across review platforms

What is Soda Core?

Editorial review
Soda is a data quality platform that helps organizations prevent data incidents before they impact production. It offers a unified workflow for both engineers and business users, powered by advanced AI. The platform automatically detects, explains, and helps resolve data quality issues as they emerge, directly at the source within your environment. Soda leverages proprietary AI for faster and more accurate data quality monitoring, including metrics monitoring, record-level anomaly detection, and AI automations for generating data contracts and checks. It provides comprehensive data observability with interactive visualizations, smart thresholds, and continuous AI improvement through user feedback. This allows teams to scale monitoring efforts without manual scripting, discover unknown data issues, and automate data and pipeline testing.

Available on: Web

how we evaluateSourcesoda.io ↗

Pros & Cons

Pros

  • Significantly reduces false positives in anomaly detection (70% fewer than Facebook Prophet).
  • Scales efficiently to large datasets (1B rows in 64 seconds).
  • Unifies technical and business teams around data quality with shared workflows and data contracts.
  • Automates the creation of data quality checks and contracts, reducing manual effort.
  • Detects anomalies at a granular record level without requiring explicit check definitions.

Cons

  • No explicit free tier mentioned, suggesting it's a paid solution.
  • Requires integration into existing data environments.

Ratings Across the Web

4.4(55 reviews)

Soda Core holds an aggregate rating of 4.4 out of 5 from 55 reviews across G2, last checked March 19, 2026.

G255 reviews
4.4/5

Ratings aggregated from independent review platforms. Learn more

Preview

Key Features

AI-powered data quality automationCollaborative data contracts for business and engineeringAutomated isolation, management, and fixing of bad data at sourceMetrics monitoring with proprietary AI algorithms (outperforms Facebook Prophet)AI Automations for generating data contracts and checks from plain EnglishRecord-Level Anomaly Detection (RAD) across columns, rows, and segmentsInteractive data observability visualizationsSmart and adaptive thresholds for data quality checks

Pricing Plans

Pricing checked Sep 15, 2026

Free

$0 / month

  • Up to 3 production datasets tested and monitored
  • Pipeline testing
  • Metrics observability
  • Alerting & ticketing integrations
  • No credit card required

Team

$750 / month

  • All Free features
  • Unlimited users
  • Includes 20 datasets
  • Pay as you go, $8 for every additional dataset
  • Catalog integrations
  • Add-ons available

Enterprise

Custom pricing

  • All Team features
  • Collaborative data contracts
  • No-code interface
  • Advanced AI-powered data quality features
  • Audit logs, custom roles, RBAC
  • Private deployment
  • SSO
  • Premium support
Calculate your costView full pricing

Is Soda Core worth the price?

75/100

Soda Core's pricing is fair for small teams but can quickly become expensive for larger organizations.

The Free tier is generous for basic monitoring, while the Team tier at $750/month plus $8/dataset is a significant jump. This structure is best for startups and small to medium-sized businesses with a limited number of critical datasets.

Hidden Costs & Gotchas

Additional datasets beyond 20 are $8 each.

Add-ons for Team tier are extra.

Reviews

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4.4/5

Across 55 verified user reviews on G2

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Still deciding?

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Soda Core FAQ

How does Soda Core help prevent data incidents?

Soda Core is a data quality platform that automatically detects, explains, and helps resolve data quality issues as they emerge. It monitors data directly at the source within your environment, aiming to prevent incidents before they impact production.

Which teams benefit most from using Soda Core?

Soda Core is designed to unify both technical and business teams around data quality, offering shared workflows and data contracts. This allows engineers and business users to collaborate effectively on data quality initiatives.

How does Soda Core compare to Monte Carlo for data quality monitoring?

Soda Core differentiates itself by significantly reducing false positives in anomaly detection, boasting 70% fewer than some other methods. It also scales efficiently to large datasets, processing 1 billion rows in 64 seconds.

What kind of data quality issues can Soda Core identify?

Soda Core can discover unknown data issues and detect anomalies at a granular record level without requiring explicit check definitions. It also provides metrics monitoring and record-level anomaly detection through its AI capabilities.

Does Soda Core include a free tier?

Yes, Soda Core is available on a free tier. Paid plans are also offered for users requiring more extensive usage and additional features.

How does Soda Core automate data quality processes?

Soda Core leverages proprietary AI for generating data contracts and checks, automating the creation of data quality checks and contracts. This reduces manual effort and allows teams to scale monitoring efforts without manual scripting.

What are the primary considerations when implementing Soda Core?

Implementing Soda Core requires integration into existing data environments. While it offers advanced data observability, users should plan for this integration process within their current infrastructure.

Source: soda.io

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