Soda
Data quality tools
Data observability software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Soda
Soda is a data observability and data quality platform used to monitor datasets for issues such as schema changes, missing data, freshness delays, and anomalous values. It is typically used by data engineering and analytics teams to define quality checks, run them in pipelines or on schedules, and route alerts to operational channels. The product centers on “data tests” (checks) that can be managed as code and executed across common data warehouses and lakehouse environments. It also provides reporting and collaboration features to help teams track incidents and quality trends over time.
Checks-as-code workflow
Soda supports defining data quality checks in a version-controlled, code-centric workflow that fits common CI/CD and orchestration patterns. This approach helps teams standardize checks across projects and review changes through pull requests. It also makes it easier to reuse and templatize checks across multiple datasets. For organizations already managing analytics engineering as code, this can reduce operational friction.
Broad warehouse connectivity
Soda is designed to run checks close to the data and integrates with widely used cloud data warehouses and lakehouse engines. This enables teams to monitor data quality without exporting data to a separate system in many cases. It supports common patterns such as scheduled scans and pipeline-triggered scans. These integrations align with how modern data stacks centralize data in warehouses/lakehouses.
Operational alerting and triage
Soda provides alerting and incident-style workflows so teams can detect and respond to data issues quickly. Alerts can be routed to collaboration tools and ticketing processes, supporting operational ownership. The platform also tracks historical results to help identify recurring problems and measure improvement. This is useful for teams that need ongoing monitoring rather than one-time cleansing.
Engineering effort to implement
A checks-as-code model typically requires engineering time to define, maintain, and tune rules and thresholds. Teams without strong data engineering or analytics engineering practices may find initial setup slower than GUI-first tools. Ongoing maintenance is often needed as schemas and business logic evolve. This can be a barrier for smaller teams seeking minimal configuration.
Not a master data solution
Soda focuses on monitoring and testing data quality rather than performing record-level mastering, enrichment, or complex entity resolution. Organizations looking for CRM-style deduplication, enrichment, or operational data synchronization may need additional systems. It is better suited to analytics/warehouse quality assurance than to operational data management. This distinction matters when the primary goal is fixing source-of-truth records rather than detecting issues.
Coverage depends on defined checks
The effectiveness of observability depends on the breadth and quality of checks a team implements. If key datasets lack tests, issues may go undetected until downstream consumers report them. Automated anomaly detection can reduce this risk, but it still requires tuning to avoid noise. Teams should plan governance around which assets must be monitored and how alerts are handled.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Free | $0 per month (Free forever) | Up to 3 production datasets tested & monitored; pipeline testing; metrics observability; alerting & ticketing integrations; no credit card required. (See Soda pricing page.) |
| Team — pay-as-you-go | $8 per dataset per month | All Free features; all integrations including data catalogs; unlimited users; pay-as-you-go — only for the datasets you test and monitor; includes 20 free datasets; monthly prices billed annually (per site). |
| Team — monthly plan | $750 per month | For data engineering teams; includes 20 datasets; unlimited users; add-ons available; pay-as-you-go $8 for every additional dataset; Business UI & workflows add-on +$250/month (as displayed on the vendor site). |
| Enterprise | Custom pricing (contact sales) | All Team features plus collaborative data contracts, no-code interface, advanced AI-powered data quality features, audit logs, custom roles/RBAC, private deployment, SSO, premium support; annual billing and volume discounts available. |
Notes: "Monthly prices billed annually" is stated on the pricing page. The vendor site also references time-limited free trials in various places (see details below).
Seller details
Soda Data Inc.
Brussels, Belgium / New York, NY, USA (operations)
2019
Private
https://www.soda.io/
https://x.com/sodadatahq
https://www.linkedin.com/company/soda-data/
