Tools, Technology & Buying Guides
15 articles
- Jun 14, 2026
Best Free Data Profiling Tools (2026): Honest Comparison
Data profiling is the process of examining a dataset to understand its structure, completeness, distributions, and quality before you use it. The tools that do this range from Python libraries to browser-based apps to Excel tricks. Here's an honest comparison of the free options — with their real…
- Jun 14, 2026
Why We Built a Data Quality Tool That Never Uploads Your Data
The short version: When you upload a file to most online tools, it travels to their server. With Sohovi, your file is loaded into your browser's memory and all processing happens locally on your device. Nothing is transmitted to our servers. You can verify this with your browser's developer tools —…
- Jun 14, 2026
Data Quality Tool Pricing Compared: What You Actually Pay in 2026
The problem with data quality tool pricing: Most enterprise tools use "contact us" pages because the actual price depends on data volume, number of users, integrations, and negotiation leverage. This post gives you realistic ranges based on publicly available information, analyst reports, and…
- Jun 12, 2026
Should You Let AI Clean Your Data? Where It Works, Where It Quietly Destroys Things
Balanced verdict: AI is excellent at suggesting cleaning approaches. It's dangerous when applying changes unsupervised — because it can silently change values it shouldn't, hallucinate plausible-looking fills for missing data, and behave inconsistently across large files. Use AI as an advisor; use…
- Jun 12, 2026
Best Data Quality Tools for Small Businesses (2026): Honest Reviews
The short version: If your data lives in spreadsheets and you don't have a data engineer, start with Sohovi's free tier — you'll know in 10 minutes if it fits. If you have engineers, Great Expectations or Soda give you code-first power. If budget is zero and you're comfortable with a Java install,…
- May 21, 2026
Open Source Data Quality Tools: Pros and Cons for Small Teams
Free sounds appealing until you're three hours into configuring a Python environment to run a data quality check that should have taken 10 minutes. Open source data quality tools are powerful — genuinely. But for small teams, the total cost of operating them is often higher than their $0 license…
- May 21, 2026
How AI Is Changing Data Quality Management
Every data quality vendor now has "AI-powered" in their pitch. Most of what they mean is a machine learning model suggesting rules, flagging anomalies, or classifying column types. Some of it is genuinely useful. Some of it is a feature that sounds impressive and rarely gets used.
- May 21, 2026
The Best Data Quality Tools for Non-Technical Users
You don't write Python. You don't have a data warehouse. You have a CSV file that needs to be imported into your CRM, and you need to know whether it's clean.
- May 21, 2026
Data Quality Tools Comparison: Features, Pricing, and Use Cases
You don't need a $200,000/year data quality platform to check whether your CSV file has duplicate customer records. And a free Python library won't help the marketing manager who needs to validate a lead export before it goes into the CRM.
- May 21, 2026
Data Quality Tools: Comparing Cost vs. Accuracy
The most expensive data quality tool on the market isn't the most accurate one for your use case. Accuracy depends on the specific checks your data needs — and a $0 library and a $200,000 enterprise platform can produce identical results on a completeness check.
- May 21, 2026
What Questions to Ask Before Buying a Data Quality Tool
You watched the demo. The dashboard looked clean. The sales rep was helpful. Now you're about to sign a contract — and you haven't asked whether the tool actually handles your use case.
- May 21, 2026
How to Integrate Data Quality Checks Into Your Existing Workflow
The most effective way to integrate data quality checks into your existing workflow is to add a quality checkpoint at the moment data moves — not as a separate project you run occasionally.
- May 21, 2026
How to Evaluate a Data Quality Tool Before You Buy
The most effective way to evaluate a data quality tool before you buy is to run it on your own data for your actual use case — not on the vendor's demo data for a scripted scenario.
- May 21, 2026
How to Choose Between Manual and Automated Data Quality Tools
The fastest way to choose between manual and automated data quality tools is to ask one question: how often does your data change, and how quickly do you need to know when quality drops?
- May 21, 2026
What to Look for When Buying a Data Quality Tool
You're evaluating data quality tools and every product looks identical at first glance: dashboards, connectors, scoring, monitoring. The marketing language is indistinguishable. The demos are polished. The pricing is hidden behind a "Contact Sales" button.