# Azure Synapse Analytics Reviews **Vendor:** Microsoft **Category:** [Big Data Analytics Software](https://www.g2.com/categories/big-data-analytics) **Average Rating:** 4.4/5.0 **Total Reviews:** 38 ## About Azure Synapse Analytics Azure Synapse Analytics is a cloud-based Enterprise Data Warehouse (EDW) that leverages Massively Parallel Processing (MPP) to quickly run complex queries across petabytes of data. ## Azure Synapse Analytics Pros & Cons **What users like:** - Users love the **unified experience** of Azure Synapse Analytics, enhancing efficiency and simplifying end-to-end data solutions. (1 reviews) - Users value the **seamless automation** capabilities of Azure Synapse Analytics, enhancing efficiency and simplifying end-to-end data processing. (1 reviews) - Users value the **seamless cloud integration** of Azure Synapse Analytics, enhancing efficiency and simplifying analytics solutions. (1 reviews) - Users value the **cost-effective features** of Azure Synapse Analytics, enhancing flexibility and minimizing expenses in data analytics solutions. (1 reviews) - Users appreciate the **seamless data integration** in Azure Synapse Analytics, enhancing overall efficiency in analytics solutions. (1 reviews) - Data Pipelining (1 reviews) - Ease of Use (1 reviews) - Easy Integrations (1 reviews) - Efficiency (1 reviews) - Features (1 reviews) **What users dislike:** - Users face a steep **cost estimation challenge** due to complexity in monitoring and optimizing various resources within Azure Synapse Analytics. (1 reviews) - Users find **cost management complexities** in Azure Synapse Analytics challenging, especially without proper governance in place. (1 reviews) - Users face challenges with **debugging issues** due to lack of error transparency, increasing troubleshooting time significantly. (1 reviews) - Users experience **difficult debugging** due to non-transparent errors, prolonging troubleshooting in complex pipeline failures. (1 reviews) - Users find Azure Synapse Analytics to be **expensive** to manage, especially with complex cost monitoring and performance tuning. (1 reviews) - Learning Curve (1 reviews) - Poor Performance (1 reviews) - Slow Performance (1 reviews) ## Azure Synapse Analytics Reviews ### 1. Efficient Data Engineering, Needs Better Git Integration **Rating:** 3.0/5.0 stars **Reviewed by:** Adarsh C. | Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** April 16, 2026 **What do you like best about Azure Synapse Analytics?** 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 data efficiently. Another aspect I enjoy is the ease of use with data pipelines, especially the low-code approach that allows me to create a prototype and basic ETL flow in minutes. **What do you dislike about Azure Synapse Analytics?** I believe it needs to improve its git integration features; I don't like the fact that every change is a commit with no clear commit message. Faster Spark Pool start time. Better Git integration framework. Implementation similar to Databricks is the best. Also, it's impossible to review code and pipelines in Azure DevOps, since all the files are JSONs. **What problems is Azure Synapse Analytics solving and how is that benefiting you?** I use Azure Synapse Analytics for ETL and data engineering, ingesting and processing data with PySpark. It processes large data volumes efficiently like Databricks. The connection with Azure Datalake and low-code pipelines simplify workflows, enabling quick prototyping and ETL flows. ### 2. Unified Data Warehousing and Big Data in One Powerful Platform **Rating:** 4.5/5.0 stars **Reviewed by:** Daniel H. | Cloud Enginner, Telecommunications, Mid-Market (51-1000 emp.) **Reviewed Date:** March 03, 2026 **What do you like best about Azure Synapse Analytics?** 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. **What do you dislike about Azure Synapse Analytics?** What I dislike about Azure Synapse Analytics is that the initial setup and configuration can be complex, often requiring extra expertise to get everything working smoothly. Debugging and monitoring can also feel limited, especially when managing large pipelines or Spark workloads. **What problems is Azure Synapse Analytics solving and how is that benefiting you?** is solving the challenge of bringing together massive amounts of structured and unstructured data into one place, so I don’t have to juggle multiple tools. It helps streamline data integration, transformation, and analysis, which saves me time and reduces complexity. ### 3. Unified Analytics Platform with Seamless Azure Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Ashish D. | Cloud Engineer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** February 12, 2026 **What do you like best about Azure Synapse Analytics?** I use Azure Synapse Analytics primarily for building end-to-end data analytics solutions as it helps integrate data ingestion, transformation, storage, and analytics into a single unified platform. I love its unified experience which combines data engineering, big data processing, and enterprise data warehousing within a single workspace, significantly improving efficiency and reducing architectural complexity. I appreciate that I can switch between serverless SQL, dedicated SQL pools, and Spark environments seamlessly. The integration with data lakes and tools like Power BI is smooth, enabling faster insight generation. I value its scalability and performance optimization capabilities, along with the built-in pipeline orchestration suited for handling large-scale analytics workloads. I also appreciate how it integrates with the broader Azure ecosystem, like Azure Data Lake Storage and Azure Machine Learning, facilitating the building of end-to-end data pipelines. The flexibility, operational efficiency, and cost efficiency offered by serverless querying and on-demand scaling are truly beneficial. **What do you dislike about Azure Synapse Analytics?** The learning curve can be steep, especially for teams that are new to distributed data processing or hybrid architectures involving SQL pools and Spark. Debugging complex pipeline failures can sometimes lack detailed error transparency, which increases troubleshooting time. Performance tuning in dedicated SQL pools also requires careful resource management and distribution design, which may not be intuitive for all users. Additionally, cost monitoring and optimization across serverless queries, Spark jobs, and dedicated pools can become complex if governance is not properly established. **What problems is Azure Synapse Analytics solving and how is that benefiting you?** Azure Synapse Analytics solves fragmented data system issues by integrating data ingestion, processing, and analytics on one platform. It reduces operational complexity, improves productivity, streamlines data workflows, and enhances decision-making. Seamless integration with BI tools and scalability optimize performance and cost-efficiency. ### 4. All-in-One Data Workspace with a Clean, Easy-to-Use UI **Rating:** 4.5/5.0 stars **Reviewed by:** Nikolay N. | Data engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 23, 2026 **What do you like best about Azure Synapse Analytics?** I like that all data is in one place, notebooks, code, tables, it is easy to use and the UI is nice. **What do you dislike about Azure Synapse Analytics?** Sometimes there are small bugs. When I make changes to notebooks, I have to commit every time; otherwise I lose those changes. Also, when I run a notebook, it gets detected as a change in version control. **What problems is Azure Synapse Analytics solving and how is that benefiting you?** Everyday I use it for data engineering purposes, I fix code bugs, query tables, perform deploys ### 5. Azure Synapse Analytics - Best ETL Tool **Rating:** 5.0/5.0 stars **Reviewed by:** Varad V. | AI/ML Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 17, 2024 **What do you like best about Azure Synapse Analytics?** Azure Synapse Analytics had a wonderful UI calles Synapse Studio which makes it extremely easy to use. It is highly scalable which makes it easier to find insights of important data. It allows linking resources and working with scripts as well as spark notebooks. It's feature of integrating Spark pools makes data processing and analytics hassle free. It has security that of Azure so there is no compromise on that too. All in all, it is a go to cloud ETL and data analytics tool. **What do you dislike about Azure Synapse Analytics?** There is nothing that I dislike about Sunapse analytics as such. Just an improvement that I would like to see is addition of drag and drop feature in it's UI. **What problems is Azure Synapse Analytics solving and how is that benefiting you?** Azure synapse analytics solves my day to day needs with work. As a Data Engineer, I have to do lots of extract, transform and load for data that holds a lot of importance. Azure synapse analytics makes this taks easier for me. It's features of integration and linking with other resources makes it a go to option for any analytics or data preocessing task too. Especially, it's integration with spark pools makes it the most prefered choice for data precessing. So, synapse analytics is benefitting me a lot in my day to day routing work. ### 6. Azure Synapse Analytics a complete solution for data **Rating:** 5.0/5.0 stars **Reviewed by:** Tej P. | DevOps Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** April 17, 2024 **What do you like best about Azure Synapse Analytics?** It provides Deep integration of Azure Machine Learning, Cognitive Services, and Power BI It has the big data analytical capabilities of spark and data integration to move data between both. It is the overcome of Azure Data factory tool, it provides the independent storage and compute cluster. It provides the SQL pools which are Dedicated SQL pools and Serverless SQL pools we can work according to data. It provides Hybrid data integration by using this we can connect with on-prem SQL and cloud-based storage. It provides a complete solution. It offers cloud data warehousing, dashboarding, and machine learning analytics in single workspace which makes Synapse more powerful than ADF. It can ingest all types of data including Relation data and non-relation data and can see data in SQL. It provides parallel processing which manages analytical workload and processes large volumes of data. **What do you dislike about Azure Synapse Analytics?** Overall Synapse is okay, but there are some problems - There is no way to migrate data from a Dedicated SQL pool to a Serverless SQL pool, which increases manual intervention and this can be hectic for large data. **What problems is Azure Synapse Analytics solving and how is that benefiting you?** It provides a data warehouse, computing power, and dedicated and serverless SQL pools which make Synapse more advanced than the ADF. In this ETL pipeline, we can create a Notebook and provide them separate computing power and storage to the notebook which processes and ingests data easily. by using this we can integrate data from various sources like SQL server pools and data warehouses which work efficiently for big data and large amounts of data. Scaleability which makes this cost-effective and provides seamless computing according to data, and it supports parallel processing ### 7. Unleashing the Power of Data: A Comprehensive Review of Azure Synapse Analytics **Rating:** 4.5/5.0 stars **Reviewed by:** Sunny T. | Associate Process Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** June 21, 2023 **What do you like best about Azure Synapse Analytics?** Uified Analytics Platform Scalability and Performance Advanced Analytics Capabilities Security and Compliance Cost Optimization Integration with Azure Services **What do you dislike about Azure Synapse Analytics?** Maturity of Features: As with any evolving technology, certain features or functionalities within Azure Synapse Analytics might still be maturing or undergoing improvements. This could result in occasional limitations or gaps in certain areas, requiring workarounds or alternative approaches. **What problems is Azure Synapse Analytics solving and how is that benefiting you?** Data Integration: One of the key challenges in data analytics is integrating data from disparate sources and formats. Azure Synapse Analytics provides seamless integration with various data sources and supports data ingestion from structured, semi-structured, and unstructured data. This enables organizations to bring all their data together in a unified platform, making it easier to extract insights and gain a holistic view of their data. Scalability and Performance: Traditional data analytics solutions often struggle to handle large-scale data processing and complex queries efficiently. Azure Synapse Analytics leverages distributed processing capabilities, allowing organizations to scale their analytics workloads as needed. This scalability, combined with its optimized query execution engine, enables faster processing and analysis of massive datasets, accelerating decision-making processes. ### 8. Azure Synapse for HTAP implementation **Rating:** 4.5/5.0 stars **Reviewed by:** Anshul G. | Decision Scientist II, Enterprise (> 1000 emp.) **Reviewed Date:** April 11, 2023 **What do you like best about Azure Synapse Analytics?** The best thing about Azure Synapse analytics platform is that it provides all service under a single umbrella which reduces dependency and also helps in manage all service at once **What do you dislike about Azure Synapse Analytics?** There are many things to dislike about Azure Synapse analytics. One of the things are CTE doesn't support in SQL pool instance either of them serverless or dedicated **What problems is Azure Synapse Analytics solving and how is that benefiting you?** Azure Synapse analytics as a platform is serving well in streaming data with millions of touch points stream through IoT hub and then being processed in synapse platform ### 9. Azure synapse analytics review **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Enterprise (> 1000 emp.) **Reviewed Date:** June 20, 2023 **What do you like best about Azure Synapse Analytics?** What I most like about azure synapse analytics is it gives us end to end manages instance. Be it azure sql Or adf and any other functionality. We don't need to manage any connections they are all managed by synapse. **What do you dislike about Azure Synapse Analytics?** The cost structure is difficult to understand. And the logging metrics are not easy to use. Integrated external 3rd party data sources this capability seems to be missing. **What problems is Azure Synapse Analytics solving and how is that benefiting you?** So in my project it is working as a centre point to collect all the data and perform the necessary etl operations to transform and send it to external vendors for further actions. ### 10. Azure Synapse - Analytics Service Review **Rating:** 4.5/5.0 stars **Reviewed by:** Anup G. | Corporate Trainer, Small-Business (50 or fewer emp.) **Reviewed Date:** June 15, 2023 **What do you like best about Azure Synapse Analytics?** SQL support, User Interface is quick to learn, Power BI Connectivity **What do you dislike about Azure Synapse Analytics?** Limited SQL features available, Changes and updates can be given a more enhanced explanation **What problems is Azure Synapse Analytics solving and how is that benefiting you?** Data Integration and Analysis. Combining data and performing analytics on the data. ## Azure Synapse Analytics Discussions - [Does Azure Synapse include Analysis Services?](https://www.g2.com/discussions/does-azure-synapse-include-analysis-services) - [When should use Azure synapse analytics?](https://www.g2.com/discussions/when-should-use-azure-synapse-analytics) - [What are advantages of Azure synapse analytics?](https://www.g2.com/discussions/what-are-advantages-of-azure-synapse-analytics) - [What is included in Azure synapse analytics?](https://www.g2.com/discussions/what-is-included-in-azure-synapse-analytics) - [View Azure Synapse Analytics pricing details and edition comparison](https://www.g2.com/products/azure-synapse-analytics/reviews/azure-synapse-analytics-review-4304682?section=pricing&secure%5Bexpires_at%5D=2026-05-31+17%3A25%3A30+-0500&secure%5Bsession_id%5D=9ddffeeb-f956-4ef8-b096-42319a2d83c9&secure%5Btoken%5D=667c43c537456d49db1283aff8e06520b4edab0ba6137f476bc7f29114d1413a&format=llm_user) ## Azure Synapse Analytics Features **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Data Transformation** - Real-Time Analytics - Data Querying **Integrations** - Hadoop Integration - Spark Integration **Platform** - Machine Scaling - Data Preparation - Spark Integration **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake **Processing** - Cloud Processing - Workload Processing **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top Azure Synapse Analytics Alternatives - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,147 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.6/5.0 (705 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (761 reviews)