---
title: "Hadoop vs AWS Glue vs Databricks vs Snowflake: Complete 2025 Comparison"
description: "Compare Hadoop, AWS Glue, Databricks, and Snowflake in 2025. Explore architecture, fault tolerance, parallel processing, scalability, and cost to choose the best platform for ETL, analytics, and machine learning."
url: https://srinimf.com/2025/10/12/hadoop-vs-aws-glue-vs-databricks-vs-snowflake-complete-2025-comparison/
date: 2025-10-12
modified: 2026-10-10
author: "Srini"
image: https://i0.wp.com/srinimf.com/wp-content/uploads/2025/10/pexels-photo-2079249.jpeg?fit=867%2C1300&ssl=1
categories: ["AWS"]
tags: ["Databricks Vs Hadoop", "Snowflake vs Hadoop"]
type: post
lang: en
---

# Hadoop vs AWS Glue vs Databricks vs Snowflake: Complete 2025 Comparison

Here’s a **detailed comparison of Hadoop vs AWS Glue vs Databricks vs Snowflake**, focusing on **architecture, processing, scalability, cost, and fault tolerance** — perfect for interviews and architectural understanding 👇

## 🧩 1. **Overview of Hadoop, AWS Glue, Databricks, and Snowflake**

| Platform | Type | Primary Purpose |
| --- | --- | --- |
| **Hadoop** | On-premise / Open-source big data framework | Distributed data storage + batch processing |
| **AWS Glue** | Serverless ETL service | Data integration & transformation in AWS |
| **Databricks** | Unified Data + AI platform (Spark-based) | Scalable ETL, analytics, ML, and AI |
| **Snowflake** | Cloud data warehouse | High-performance analytics & data sharing |

## ⚙️ 2. **Architecture Comparison: Storage & Compute**

| Feature | **Hadoop** | **AWS Glue** | **Databricks** | **Snowflake** |
| --- | --- | --- | --- | --- |
| **Core Engine** | MapReduce / Spark | Apache Spark | Apache Spark + Delta Lake | Proprietary SQL engine |
| **Storage** | HDFS | S3 (or other AWS storage) | S3 / ADLS / GCS | Cloud-managed (S3 / GCS / Azure Blob) |
| **Compute-Storage Separation** | ❌ Tight coupled | ✅ Yes | ✅ Yes | ✅ Yes |
| **Serverless** | ❌ No | ✅ Fully serverless | ⚙️ Semi-serverless (managed cluster) | ✅ Fully serverless |
| **Processing Type** | Batch | Batch / ETL | Batch + Streaming + ML | Analytical SQL (batch + micro-batch) |

## 🚀 3. **Parallel Processing & Query Optimization**

| Feature | **Hadoop** | **AWS Glue** | **Databricks** | **Snowflake** |
| --- | --- | --- | --- | --- |
| **Parallelism** | MapReduce (block-based) | Spark executors | Spark optimized (Photon engine in runtime) | Multi-cluster compute |
| **Optimization** | Manual tuning (YARN configs) | Automatic scaling | Catalyst + AQE (Adaptive Query Execution) | Automatic query optimization |
| **Caching** | Disk-based | In-memory (Spark) | In-memory + Delta Cache | Automatic result cache |
| **Data Skew Handling** | Manual | Partial | Automatic AQE handles skew | Automatic |

## 🧮 4. **Scalability and Auto-Scaling Features**

| Feature | **Hadoop** | **AWS Glue** | **Databricks** | **Snowflake** |
| --- | --- | --- | --- | --- |
| **Scale Type** | Horizontal (add nodes) | Auto-scaled by AWS | Auto-scale / cluster pools | Auto-scale warehouses |
| **Elasticity** | ❌ Manual scaling | ✅ Automatic | ✅ Cluster autoscaling | ✅ Multi-cluster auto-scaling |
| **Max Concurrency** | Limited by cluster | High | High | Very high (multi-cluster warehouses) |

## 🧠 5. **Fault Tolerance, Recovery & Time Travel**

| Feature | **Hadoop** | **AWS Glue** | **Databricks** | **Snowflake** |
| --- | --- | --- | --- | --- |
| **Fault Tolerance** | Yes (data replication in HDFS) | Yes (Spark job retries) | Yes (checkpointing, retries) | Yes (replication, time travel) |
| **Job Recovery** | Manual or via YARN | Automatic retry on node failure | Checkpointing in Spark Streaming / Delta | Built-in failover, retry at query level |
| **Data Recovery** | Replication factor | From S3 (durable storage) | Delta Lake time travel | Time Travel + Fail-safe |
| **Checkpointing** | Limited | Supported | Strong support (Streaming) | Not needed (managed snapshots) |

## 💸 6. **Cost, Maintenance, and Serverless Options**

| Feature | **Hadoop** | **AWS Glue** | **Databricks** | **Snowflake** |
| --- | --- | --- | --- | --- |
| **Infrastructure** | User-managed | AWS managed | Managed by Databricks | Fully managed |
| **Pricing Model** | Hardware + Ops cost | Pay per DPU-second | Pay per compute-hour | Pay per warehouse usage (credits) |
| **Maintenance** | Manual (install/patch) | None | Minimal | None |
| **Ease of Use** | Complex | Easy (no infra mgmt) | Developer-friendly | Very easy (SQL-focused) |

## 📊 7. **Use Cases: ETL, Analytics, Machine Learning**

| Platform | Ideal Use Cases |
| --- | --- |
| **Hadoop** | Legacy big data storage and batch ETL |
| **AWS Glue** | Serverless ETL jobs, metadata catalog, data prep for analytics |
| **Databricks** | Unified data engineering, streaming, ML/AI, Delta Lake |
| **Snowflake** | High-performance data warehouse, BI, ELT workloads |

## 🧩 8. **Key Takeaways: Choosing the Right Platform in [2025](https://srinimf.com/2025/10/13/top-25-snowflake-interview-questions-answers-for-2025-snowflake-quiz/)**

| Scenario | Best Platform |
| --- | --- |
| Large-scale batch processing | **Databricks** or **Hadoop** |
| Simple serverless ETL pipeline | **AWS Glue** |
| Machine Learning + Streaming | **Databricks** |
| Fast SQL analytics / BI dashboards | **Snowflake** |
| Legacy on-prem data lake | **Hadoop** |

## 🧠 9. **Interview Summary (Quick Recall)**

| Concept | Hadoop | Glue | Databricks | Snowflake |
| --- | --- | --- | --- | --- |
| **Engine** | MapReduce | Spark | Spark | SQL Engine |
| **Managed** | ❌ | ✅ | ✅ | ✅ |
| **Serverless** | ❌ | ✅ | ⚙️ Semi | ✅ |
| **Scalability** | Manual | Auto | Auto | Auto |
| **Fault Tolerance** | HDFS replication | Retry | Delta checkpoint | Time travel |
| **ML Support** | No | Limited | ✅ Yes | ❌ No |
| **Performance** | Low (disk I/O) | Medium | High (Photon) | Very High |

### Share this:

-
- [Tweet](https://twitter.com/share)
- [![](https://i0.wp.com/assets.pinterest.com/images/pidgets/pinit_fg_en_rect_gray_20.png)](https://www.pinterest.com/pin/create/link/?url=https%3A%2F%2Fsrinimf.com%2F2025%2F10%2F12%2Fhadoop-vs-aws-glue-vs-databricks-vs-snowflake-complete-2025-comparison%2F&media=https%3A%2F%2Fi0.wp.com%2Fsrinimf.com%2Fwp-content%2Fuploads%2F2025%2F10%2Fpexels-photo-2079249.jpeg%3Ffit%3D800%252C1200%26ssl%3D1&description=Hadoop%20vs%20AWS%20Glue%20vs%20Databricks%20vs%20Snowflake%3A%20Complete%202025%20Comparison)
-
- [Share on Tumblr](https://www.tumblr.com/share)
- [Share on WhatsApp (Opens in new window) WhatsApp](https://srinimf.com/2025/10/12/hadoop-vs-aws-glue-vs-databricks-vs-snowflake-complete-2025-comparison/?share=jetpack-whatsapp)
- [More](#)
-

- [Print (Opens in new window) Print](https://srinimf.com/2025/10/12/hadoop-vs-aws-glue-vs-databricks-vs-snowflake-complete-2025-comparison/?share=print)
- [Share on Reddit (Opens in new window) Reddit](https://srinimf.com/2025/10/12/hadoop-vs-aws-glue-vs-databricks-vs-snowflake-complete-2025-comparison/?share=reddit)
- [Share on Telegram (Opens in new window) Telegram](https://srinimf.com/2025/10/12/hadoop-vs-aws-glue-vs-databricks-vs-snowflake-complete-2025-comparison/?share=telegram)
- [Email a link to a friend (Opens in new window) Email](mailto:?subject=%5BShared%20Post%5D%20Hadoop%20vs%20AWS%20Glue%20vs%20Databricks%20vs%20Snowflake%3A%20Complete%202025%20Comparison&body=https%3A%2F%2Fsrinimf.com%2F2025%2F10%2F12%2Fhadoop-vs-aws-glue-vs-databricks-vs-snowflake-complete-2025-comparison%2F&share=email)
-

### Like this:

Like Loading…