Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
Sohovi is a privacy-first data quality platform built around the idea of “no setup, no code, and data never leaving the browser.” After users upload a CSV or Excel file, the system performs data profiling, DQ scoring, rule checks, PII detection, and trend tracking directly in the browser. It is well suited to small teams that do not have a large data governance budget but want to quickly establish a data quality workflow.
In terms of features, Sohovi covers null-rate analysis, type distribution, unique values, Top-N values, outlier detection, and sensitive information identification. It also provides data quality scoring based on 10 ISO-standard dimensions, including completeness, validity, uniqueness, accuracy, and consistency. Its AI DQ Rule suggestions can recommend rules based on column names and data patterns, such as email regex checks, ID uniqueness, date formats, and age ranges. Rules support regex, range, lookup, and cross-column checks, and can be reused as templates. Pro/Business plans also include trend charts, schema drift detection, anomaly alerts, threshold reminders, and report export.
Its biggest differentiator is client-side processing. The page clearly states that files are read through the browser File API, analysis runs in Web Workers, and raw row-level data is not uploaded to the server. The platform only stores DQ scores, rule metadata, and aggregated summaries. This is attractive for finance, healthcare, HR, and compliance teams, and also reduces pressure around data transfer and vendor review. However, the page does not state that it is open source, nor does it offer a self-hosting option.
The free plan is available permanently and includes 5 data assets, unlimited profiling, 5 rules per asset, basic scoring, and 7 days of history, making it suitable for individual trials or lightweight use cases. Pro costs $29/month and unlocks unlimited assets/rules, the full 10-dimension scoring model, AI rule suggestions, trends, automation, alerts, and exports. Business costs $59/month and adds business units, catalog-level scoring, cross-column validation, cleaned file export, priority support, and unlimited history. Overall, the pricing is friendly for small teams.
Its strengths are extremely fast onboarding, no integration requirements, clear privacy-oriented design, explainable scoring, and transparent pricing. The downsides are that it currently focuses mainly on CSV/Excel, while JSON and Parquet are still on the roadmap; profiling for very large files samples up to 100,000 rows; and information about APIs/SDKs, self-hosting, and enterprise-grade integrations is limited. It is a good fit for users in marketing operations, BI, e-commerce, HR, financial compliance, and data consulting who need to check the quality of spreadsheets and exported files.
The page does not provide information about China-specific network access, payment methods, or localization, so real-world accessibility is unknown. If access is unstable, alternatives such as Excel/Power Query, Great Expectations, Soda, and Deequ may be worth considering. Among these, open-source tools are better suited to teams with engineering capabilities and local deployment requirements.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on sohovi.com official site.
sohovi.com is an Unknown Dev Tools provider. TG4G tracks its product information, an overall rating of 7.0/10, and a China-accessibility score of China direct-connect friendly. Click "Visit Official Site" to reach sohovi.com directly.