The short answer: If you clean data weekly and aren't technical, use Sohovi. If you need GREL scripting, complex reconciliation against external APIs, or advanced clustering algorithms, OpenRefine is the better fit. Both process data locally — neither uploads your file to a server. The main difference is who they were built for.
What Each Tool Actually Is
OpenRefine is a free, open-source data cleaning tool that has been around since 2010 (originally Google Refine). It runs as a local Java application — you download it, run it, and access it through your browser at localhost. It's extraordinarily capable: faceted browsing, GREL/Clojure expressions, clustering algorithms, reconciliation against Wikidata and other services. It's also genuinely technical and requires a working Java environment.
Sohovi is a browser-based data quality platform built for business users — marketers, ops teams, analysts, and small business owners who need to profile, validate, deduplicate, and clean data without touching code or installing software. No Java, no localhost, no command line.
Sohovi automatically finds every duplicate in your dataset — including near-matches — and shows you exactly which rows are affected.
Comparison Table
| | OpenRefine | Sohovi | |---|---|---| | Install required | Yes — Java runtime | No — runs in browser | | Learning curve | Steep (GREL, facets, clusters) | Low (upload → review → fix) | | File size limit | Limited by your machine's RAM | Up to 100 MB per file | | Dedupe / fuzzy matching | Yes — multiple clustering algorithms | Yes — exact + fuzzy, threshold control | | Data validation rules | Manual, expression-based | Point-and-click rule builder | | Privacy | Local — file never leaves your machine | Local — file never leaves your browser | | Collaboration / sharing | Single user, no sharing | Team accounts, shareable reports | | Price | Free | Free tier + paid plans | | Active maintenance | Yes (community-maintained) | Yes |
The Same Task, Both Tools: Deduplicating a Customer List
To make this concrete, here's the same job done in both tools — merging a 2,000-row customer CSV with names and emails that have duplicates, whitespace issues, and fuzzy variants like "Acme Corp" / "ACME Corporation".
In OpenRefine
- Download and install OpenRefine (requires Java 11+; on some machines this takes 20–40 minutes to sort out)
- Start the application, create a new project, upload your CSV
- Use Text Facet on the company name column to browse values — you'll immediately see the variants
- Use Cluster (Edit Cells → Cluster and edit) to find near-duplicates — choose from key collision or nearest-neighbor algorithms
- Manually review each cluster and decide whether to merge
- Repeat for each suspect column
- Export cleaned CSV
Total time for a moderately messy 2,000-row file: 45–90 minutes for someone new to OpenRefine, 15–30 minutes for an experienced user. The setup friction on first use is the killer — the Java environment issue alone can eat an afternoon.
In Sohovi
- Open Sohovi in your browser — no install
- Upload your CSV
- The profiler immediately surfaces: duplicate count, top values per column, completeness rates
- Run fuzzy dedupe on name + company columns, review matches at your chosen similarity threshold, approve or reject merges
- Download cleaned CSV
Total time: 5–10 minutes on first use.
When OpenRefine Is Genuinely the Better Choice
OpenRefine wins in three specific situations — and it's worth being honest about them:
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You need GREL scripting. OpenRefine's General Refine Expression Language lets you write transformations like
value.replace(/\bLtd\b/, "Limited").trim()that apply across an entire column in one shot. If you have complex, logic-heavy transformations, GREL is faster than any UI. -
You need reconciliation against external datasets. OpenRefine can match your entities against Wikidata, Library of Congress, or custom APIs. If you're working on data journalism or research that requires linking records to authoritative identifiers, there's nothing like it.
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You're doing one-off academic or research cleaning and don't mind the setup time. If you're cleaning a dataset once for publication, the investment in learning OpenRefine pays off. If you're cleaning client data every week, it doesn't.
Is OpenRefine Still Maintained?
Yes. As of 2025 OpenRefine is actively maintained as an open-source project with community contributions. The GitHub repository is active and regular releases continue. The concern is not whether it's maintained — it's whether the tool's design fits your workflow.
The Privacy Question (Both Tools Get This Right)
Both tools process data locally. OpenRefine runs as a local server on your machine — your file never leaves your computer. Sohovi performs all processing in your browser using WebAssembly — your file never leaves your device either. If you're working with customer PII or regulated data, you can use either tool without creating a data processing relationship with a third-party server.
Sohovi automatically detects PII in your datasets — emails, phone numbers, SSNs — all processed client-side so your data never leaves the browser.
You can verify this for Sohovi: open your browser's developer tools (F12), go to the Network tab, and upload a file. You'll see zero data upload requests.
Frequently Asked Questions
Q: Can OpenRefine handle Excel files (.xlsx)? Yes — OpenRefine supports Excel, CSV, JSON, XML, and several other formats. Sohovi also supports Excel and CSV natively.
Q: Is my data uploaded anywhere when using OpenRefine? No. OpenRefine runs entirely on your local machine. Your data stays on your computer.
Q: Does Sohovi require a credit card to try? No. Sohovi has a free tier that doesn't require a credit card — upload your file and try the core features immediately.
Q: Can OpenRefine handle files larger than Excel's row limit? Yes, subject to your machine's available RAM. OpenRefine is often used for files that Excel can't open. Sohovi handles files up to 100 MB in the browser.
Q: Which tool is better for non-technical team members? Sohovi by a significant margin. OpenRefine's interface — facets, clusters, expressions — assumes familiarity with data tools. Sohovi was designed for business users who don't want to learn a new paradigm.
If you already know OpenRefine and love GREL expressions, keep using it. If you've been frustrated by the setup, the learning curve, or the inability to share results with your team, try Sohovi — drag your file in, no install required. The first clean is free.