Varada vs. AWS Glue
A side-by-side comparison based on G2 review data.
| Metric | Varada | AWS Glue |
|---|---|---|
| Overall rating | 4.2 | 4.3 |
| Review count | 11 | 202 |
| Ease of use | 9.5 | 8.6 |
| Ease of setup | 8.1 | 8.8 |
| Quality of support | 9.5 | 8.6 |
| Meets requirements | 8.3 | 8.7 |
| NPS | 36.363636 | 48.453608 |
| Small Business | 45.5% | 22.9% |
| Mid-Market | 36.4% | 28.4% |
| Enterprise | 18.2% | 48.8% |
| Total page views | 20 | 580 |
| Total LLM citations | 3 | 2,467 |
Varada
Varada's data platform runs in your AWS VPC and can dramatically accelerate queries that run directly on your data lake. No need to move data or model it to get those blazing fast queries users demand. Any SQL app, BI tool or even analysts and data scientists can easily query any data source in your data lake, without the need to move data, prepare or model it in advance. >>How fast is “fast”? Varada is 10x-100x faster than any other data lake query engine. Data teams and users no longer need compromise on performance in order to achieve agility and fast time-to-insights.
AWS Glue
AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and application develop-ment. You can discover and connect to 70+ diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor ETL pipelines to load data into your data lakes. You can im-mediately search and query catalogued data using Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum.
- Ease of Use
- Data Integration
- Features
- ETL Solutions
- Data Lineage
- Data Cataloging