Software Alternatives & Startups

anonimiza.do VS SQLified

Compare anonimiza.do VS SQLified and see what are their differences

anonimiza.do

Automatic GDPR document anonymization built for Spain: detects and removes personal data, including DNI, NIE and IBAN, from PDF, Word, spreadsheet and image files, on EU servers.

Rating
0 reviews
Pricing
Freemium €23 / Monthly (Professional, billed annually (€29 billed monthly))
SQLified

Convert CSV, TSV & delimited files to SQL — in your browser

Rating
0 reviews
Pricing
Freemium Free trial $9.99 / Monthly
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Data Masking popularity
100% vs 0%
alternatives listed
12 vs 12

Base details

Website, pricing, platforms and company facts side by side.

anonimiza.do
SQLified
Website anonimiza.do getsqlified.com
Pricing
Freemium €23 / Monthly (Professional, billed annually (€29 billed monthly)) Official pricing
Freemium Free trial $9.99 / Monthly Official pricing
Platforms
Web REST API
—
Company Startup from Spain 2025
Listed in

About anonimiza.do and SQLified

In their own words, as submitted to SaaSHub.

anonimiza.do
SQLified

anonimiza.do anonymizes documents automatically so they can be shared or published under the GDPR. Upload a PDF, Word file, spreadsheet, scan or ZIP; it finds the personal data, replaces it according to your rules and returns the file in its original format, without metadata. It is built for...

Read more about anonimiza.do

SQLified is a browser-based tool that converts CSV, TSV, and other delimited data files into clean, import-ready SQL —CREATE TABLE plus batched INSERT statements — for PostgreSQL, MySQL, SQLite, and SQL Server. Unlike free one-off converters that choke around 100K rows, SQLified is built for...

Read more about SQLified

Features and specs

What each product offers, as listed by its team.

anonimiza.do 12 features
SQLified 5 features
  • Automatic PII detection
    Finds 20 personal data types across 7 families, from names and contact details to vehicle plates, QR codes and indirect identifiers.
  • Spanish ID validation
    Recognises DNI/NIF, NIE, CIF, passport and Social Security numbers and IBAN, and validates them by check digit.
  • OCR for scanned documents
    Reads scanned PDFs and photos before detection and applies the substitution to the image itself.
  • Batch processing
    Anonymizes documents in batches as well as one by one, from the web interface or the REST API.
  • Pseudonymization
    Reversible pseudonymization with a separate mapping table, as an alternative to irreversible anonymization.
  • Tokenization
    Replaces each data point with a stable token such as [PER_1], the same for every mention of the same person.
  • Synthetic data
    Replaces personal data with synthetic values instead of masks or tokens, chosen per data type.
  • k-anonymity check
    Verifies k-anonymity before a statistical or open-data release.
  • Metadata removal
    Strips the metadata and returns the file in its original format.
  • Audit log
    Activity log, plus review with versioned approval before a document is published.
  • REST API
    Anonymizes documents from other applications through a REST API, included from the Professional plan.
  • EU hosting
    Processed on AWS in Frankfurt with no international transfers, with an option for the AWS region in Spain.
  • Simplified SQL Learning Curve
    SQLified appears designed to make SQL querying and database management more accessible to users with varying skill levels, reducing the complexity typically associated with writing raw SQL queries.
  • Visual Interface
    The tool likely offers a visual or intuitive interface for constructing queries, which can help users who are not deeply familiar with SQL syntax to still interact effectively with databases.
  • Time Efficiency
    By streamlining query construction and database operations, SQLified can help users save time compared to manually writing and debugging SQL code from scratch.
  • Accessibility for Non-Technical Users
    The platform may enable business analysts, product managers, or other non-technical stakeholders to query databases without needing deep SQL expertise.
  • Reduced Error Rate
    Guided or assisted query building can help minimize common syntax errors and mistakes that occur when writing SQL manually.

Possible disadvantages

  • Limited Advanced Functionality
    Simplified tools like SQLified may not support highly complex queries, advanced joins, or specialized SQL features that experienced database professionals often require.
  • Learning Dependency
    Users may become reliant on the simplified interface and could struggle to write raw SQL independently when needed, such as in environments where SQLified isn't available.
  • Potential Performance Overhead
    Abstraction layers built to simplify SQL can sometimes introduce performance inefficiencies compared to hand-optimized, native SQL queries.
  • Database Compatibility Constraints
    The tool might only support specific database systems or versions, limiting its usability for organizations using less common or legacy database platforms.
  • Newer or Less Established Product
    As a relatively niche or less widely recognized tool, SQLified may have a smaller user community, less extensive documentation, and fewer third-party integrations compared to more established SQL tools.

Analysis

An editorial look at what each product does well and who it suits.

anonimiza.do
SQLified

No analysis of anonimiza.do yet.

Overall verdict

  • I don't have verified, up-to-date information about SQLified (getsqlified.com) to make a reliable assessment of its quality. I'd recommend researching current reviews, testing any free trial, and checking user feedback before making a decision.

Why this product is good

  • I don't have specific, verified data on this product's features, pricing, or performance
  • Product offerings and quality can change over time, so real-time research is more reliable
  • Making claims without factual basis could be misleading

Recommended for

  • Anyone interested should check the official website directly for current features and pricing
  • Look for recent user reviews on independent platforms like G2, Capterra, or Reddit
  • Consider trying any free trial or demo version to evaluate firsthand
  • Ask in relevant developer or data community forums for peer experiences

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
anonimiza.do
SQLified
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing anonimiza.do and SQLified.

What makes your product unique?

anonimiza.do's answer

It is built around Spanish documents rather than adapted to them. It validates DNI, NIE, CIF, Social Security numbers and IBAN by check digit, deliberately leaves references to laws and decrees untouched, groups every mention of the same person so one decision applies throughout, and finds personal data that is easy to miss: inside QR codes and barcodes, in Word footers and tracked comments, and in indirect references such as "the mayor of a town of 3,000". It is also certified under Spain's National Security Framework (ENS).

SQLified's answer:

Our ability to infer data types, and produce massive insert statements quickly across multiple dialects.

What's the story behind your product?

anonimiza.do's answer

anonimiza.do is built by Cedesa Digital S.L., a software company in Badajoz, Spain, certified under Spain's National Security Framework (ENS). Its CEO, Suso Merino, is a computer engineer with a university degree in technology law who works as a court-appointed computer forensics expert in Spain. The product follows the same standard: anonymization has to hold up under scrutiny, not just look right on screen, so it replaces the data instead of covering it, strips metadata, keeps an activity log and validates Spanish identifiers by check digit.

SQLified's answer:

After using many online tools and being disappointed, I realized there was a need for a file that can create clean, type aware sql for bulk inserts. The product saves me tons of time every month dealing with large data sets in the payment industry and has reduced frustrations in dealing with them.

Who are some of the biggest customers of your product?

SQLified's answer:

There are numerous competitors, but none that do what SQLified does well: this is type inference, and creating runnable SQL script for extremely large inserts in multiple dialects.

How would you describe the primary audience of your product?

anonimiza.do's answer

Organisations in Spain that have to share or publish documents containing personal data: law firms and in-house legal teams, HR departments, public administrations publishing on transparency portals and contractor profiles, clinics and hospitals preparing records for research, accounting and advisory firms, and insurers. It suits both the professional who anonymizes a few documents a month and the organisation that needs batches, an API and single sign-on.

SQLified's answer:

SQLified is designed for the solo developer, or the analytical employee dealing with large data sets, csv, or delimited files every day, and struggling with bulk insert. I want to eliminate that struggle so the real work can be done.

Why should a person choose your product over its competitors?

anonimiza.do's answer

Because black boxes drawn in a PDF viewer do not anonymize anything: the text stays underneath and comes back with copy and paste. anonimiza.do actually replaces the data, removes metadata and returns the file in its original format, with review before publishing and an activity log. It recognises Spanish identifiers out of the box, runs on EU servers with no international transfers, and starts free: 3 documents a month with no credit card, then €29/month (€23 billed annually) for 50 documents with OCR, batches and API.

SQLified's answer:

Our tools are simple, effective, and require little processing power. We store no data; all work is "ephemeral" and done on the users machine. We do not track, store, or maintain any datasets whatsoever in regards to whatever is converted on the site. We are also not trying to be something we are not. We do what we do, which is flat file to SQL dialect conversion, and we do it well.

Which are the primary technologies used for building your product?

anonimiza.do's answer

Detection combines several layers, because no single method works for everything: pattern rules with check-digit validation for structured identifiers such as DNI, NIE, Social Security numbers and IBAN (ISO 13616), NLP models for names and context, coreference resolution to group mentions of the same person, and OCR for scans and photos, where the substitution is applied to the pixels themselves. It runs as a web application with a REST API on AWS in Frankfurt (EU), with TLS 1.3 in transit and AES-256 at rest.

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