Azure Synapse Analytics
Reviews
Star rating
Rank in Big Data Analytics
Pros and cons
Pros
- Cost-Effective
- Automation
- Efficiency
- Machine Learning
- Unified Platform
- Scaling
Cons
- Expensive
- Poor Performance
- Learning Curve
- Cost Management
- Debugging Issues
- Difficult Debugging
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 24.3% |
| Mid-Market | 43.2% |
| Enterprise | 32.4% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2026 Q1 | 2 | 4.3 |
| 2026 Q2 | 2 | 3.8 |
Satisfaction ratings
What reviewers say
All-in-One Data Workspace with a Clean, Easy-to-Use UI
“I like that all data is in one place, notebooks, code, tables, it is easy to use and the UI is nice.”
Efficient Data Engineering, Needs Better Git Integration
“I use Azure Synapse Analytics for ETL/Data Engineering flows, and I appreciate its ability to process large amounts of data, similar to Databricks or MS Fabric. I like the major connections it offers with Azure Data Lake and other Azure solutions, which aid in saving ingested dat”
Unified Data Warehousing and Big Data in One Powerful Platform
“is how it unifies data warehousing and big data into a single platform, making it easier to query and analyze large datasets efficiently. It integrates SQL for structured queries, Apache Spark for big data processing, and pipelines for seamless data ingestion and transformation.”