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Architecture Comparison

Browser-Based vs Cloud-Based
Data Masking

Which architecture fits your privacy requirements and scale? Compare browser-based processing (zero file uploads, instant start) vs cloud infrastructure (parallel processing, team collaboration).

None
Infrastructure Required
vs. AWS setup time
$0
SplitForge Cost
vs. $50-200+/month (AWS)
Zero
File Uploads
vs. All files → S3 (AWS)

SplitForge Data Masking

1M rows: ~4 seconds (instant start)
5M rows: ~20 seconds
10M rows: ~40 seconds
Max file size: ~1.4GB (browser-dependent)
Zero upload time
Instant processing start
File contents never uploaded

AWS Glue DataBrew

1M rows: Typically 5-8+ minutes (includes upload + cold start)
5M rows: Typically 8-15+ minutes (cluster provisioning)
10M rows: Typically 12-25+ minutes (parallel processing)
Max file size: No hard limit (scales with cost)
2-5 min cold start delay
Upload time adds 1-10 min
Processing times vary by region, instance type, and account configuration

Feature-by-Feature Comparison

FeatureSplitForge Data MaskingAWS Glue DataBrew
Setup & Access
Initial Setup Time
None — just open browser30 min to several hours (AWS account + S3 + IAM)
Technical Prerequisites
Web browser onlyAWS account + S3 + IAM permissions
Learning Curve
5 minutes (drag-drop, auto-detection)Varies by AWS experience
Pricing
Base Cost
$0 forever$50–200+/month (sessions + S3 + transfer)
Pricing Model
Always free, no credit cardPay-per-use + infrastructure fees
Annual Cost (Baseline)
$0$600–2,400+ at 20 sessions/month
Privacy & Compliance
File Upload Required
HIPAA Support
Architecture supports HIPAA-aligned workflowsHIPAA-eligible (requires BAA + PrivateLink + CloudTrail)
GDPR Compliance
Privacy by design — file contents not transmittedRequires data residency configuration
Data Residency Control
Your device onlyAWS region-dependent (cross-region risks)
Features
PII Detection Patterns
50+ patterns (SSN, email, phone, cards, DOB, addresses)AWS Comprehend ML-based (additional cost per document)
Masking Techniques
6 methods (redaction, substitution, hashing, tokenization, shuffling, generalization)10+ transformations + advanced encryption
Compliance Reports
Auto-generated PDF (audit trails, risk analysis)CloudTrail logs (manual assembly required)
Re-identification Risk Analysis
API / Automation
Team Collaboration
Single-userMulti-user (role-based access, shared projects)
Transformations Beyond Masking
Masking only250+ recipes (joins, aggregations, filtering, ETL)
Performance
Processing Speed (1M rows)
~4 seconds (no upload overhead)Typically 5–8+ min (upload + cold start + processing)
Cold Start Delay
None (instant start)2–5 minutes per job
Maximum File Size
~1.4GB / 10M–20M rows (browser memory)No practical limit (parallel cluster scaling)
PricingFree$50–200+/month
Performance Note: AWS Glue DataBrew processing times vary significantly based on region, instance type, S3 transfer speeds, and account configuration. Times shown include typical upload overhead and cold start provisioning delays. SplitForge times tested February 2026 on Chrome 131, 32GB RAM, Intel i7-12700K. Results may vary ±15% by hardware and browser.

Calculate Your Cost Savings

See how much SplitForge Data Masking saves vs AWS Glue DataBrew based on your actual usage.AWS Glue DataBrew pricing: $1.00 per 30-min session + $0.023/GB S3 storage + $0.09/GB egress

Typical: 1–50 GB per run
Daily = 30, Weekly = 4
Users who run this workflow
Monthly Cost Comparison
SplitForge Data MaskingFree
AWS Glue DataBrew$109/mo
Monthly Savings
$109
vs AWS Glue DataBrew
Annual Savings
$1.3K
per year switching to SplitForge Data Masking
AWS Glue DataBrew Annual Cost
$1.3K
at current usage levels
AWS Glue DataBrew Per Run
$5
per processing run
Upload time per run
0 seconds
Cold start delay
Eliminated
PHI leaves browser
Never
SplitForge Data Masking costs nothing for the same data masking.
No signup. No upload. Runs in your browser.
Try it free
AWS Glue DataBrew pricing as of Feb 2026. Costs include $1/session + S3 storage + egress fees. Actual costs vary by region, data transfer volume, and account configuration. Additional engineer time for setup and maintenance not included.

Honest Limitations: Where SplitForge Data Masking Falls Short

No tool is perfect for every use case. Here's where AWS Glue DataBrew might be a better choice, and the real limitations of our browser-based architecture.

Browser-Based Processing

Performance depends on your device's RAM and CPU. Modern laptops (2022+) handle 10M+ rows easily, but older devices may struggle with very large files.

Workaround:
Close unnecessary browser tabs to free up memory. For files over 50M rows, consider database solutions.

No Offline Mode (Initial Load)

Requires internet connection to load the tool initially. Processing happens offline in your browser after loading.

Workaround:
Once loaded, you can disconnect and continue processing. For true offline environments, desktop tools may be better.

Browser Tab Memory Limits

Most browsers limit individual tabs to 2-4GB RAM. This is the practical ceiling for file size.

Workaround:
Use 64-bit browsers with sufficient RAM. Chrome and Firefox handle large files best.

Browser Memory Ceiling (10M-20M Rows)

Maximum file size is ~1.4GB (~10M-20M rows depending on data complexity and available RAM). Larger datasets require cloud solutions or desktop tools.

Workaround:
Split large files using SplitForge CSV Splitter first, then mask each chunk individually. Or use AWS Glue DataBrew for 100M+ row datasets with parallel processing.

No API or Automation Support

SplitForge is a browser-based tool without API access. Can't integrate with CI/CD pipelines or automated workflows.

Workaround:
For automation, use AWS Glue DataBrew API (Python/Boto3), Informatica REST API, or desktop CLI tools.

Limited to Masking Operations Only

SplitForge focuses exclusively on PII masking. Can't do joins, aggregations, filtering, or complex ETL transformations like AWS Glue's 250+ recipes.

Workaround:
Use Python pandas, SQL, or AWS Glue DataBrew for transformations, then mask with SplitForge as final privacy layer.

Single-User Processing (No Collaboration)

SplitForge is single-user. Can't share masking configurations or audit trails across teams like AWS Glue projects.

Workaround:
Export compliance reports (PDF) and share via email/Slack. For team workflows requiring shared configs, use AWS Glue DataBrew.

When to Use AWS Glue DataBrew Instead

You need to process 100M+ row datasets

AWS Glue DataBrew scales horizontally with parallel cluster processing. SplitForge is browser-limited to ~20M rows maximum.

💡 Use AWS Glue DataBrew for massive scale with AWS infrastructure and parallel processing capabilities.

You need API-driven automation and CI/CD integration

SplitForge has no API. Enterprise tools have full REST APIs for automated workflows.

💡 Use AWS Glue DataBrew API (Boto3) or Informatica REST API for automated masking pipelines.

You need complex data transformations + masking in one tool

AWS Glue DataBrew has 250+ transformation recipes (joins, aggregations, filtering). SplitForge only masks.

💡 Use AWS Glue DataBrew for full ETL workflows. Or: transform with pandas/SQL, then mask with SplitForge.

You're already AWS-native with Glue/Athena/Redshift pipelines

If you're using AWS Glue ETL, Athena, and Redshift, DataBrew integrates seamlessly. SplitForge requires manual file export/import.

💡 Stick with AWS Glue DataBrew for AWS-native data pipelines. SplitForge is for standalone masking tasks outside AWS.

Questions about limitations? Check our FAQ section below or contact us via the feedback button.

Frequently Asked Questions

How long does AWS Glue DataBrew setup actually take?

What are the real monthly costs of AWS Glue DataBrew?

How does HIPAA compliance differ between the two?

Can AWS Glue DataBrew really process files faster than browser-based tools?

What happens if I need to mask files offline or without internet?

Which tool is better for teams vs individuals?

Can I automate masking workflows with either tool?

How do the tools compare on PII detection accuracy?

What if my dataset is 50M+ rows?

Can I use both tools together?

Want Another Comparison?

Compare SplitForge with Informatica, K2view, or other data masking tools.

Ready to Mask PII Without File Uploads?

No AWS account setup. No S3 configuration. No cold start delays. No monthly bills. Just drop your CSV and start masking PII in seconds.