Azure SQL Data Warehouse Reviews

Azure Synapse has helped me ease my workload

It can be quite overwhelming at times hence it definitely has some learning curve to it.

Sometimes clients do share information which is really hard to comprehend but the use of Azure helps me simplify that

I like its scalability and the analytics solution it provides

Difficult to manage high volumes of concurrent queries

Azure synapse successfully integrates analytical services to bring enterprise data warehouse and big data analytics helping me over using Data bricks

The dynamics of Azure, seamless intergration with all other apps

Nothing yet Although the front end could be rebuild again for future

Customer incide t management

Synapse being a one stop shop for SQL Stored Procedures, Python/ Spark Notebooks, Orchestration Pipeline etc.

Not enough telemetry for Notebooks failure and stored procedure logs

Best tool for big data distributed processing

Big data processing at large scale along with single pane of glass for ADLS, ADF, Databricks capabilities together

I work with implementations where Azure SQL DWH is used and the scalability it provides is best in the market

Pricing . The pricing is high considering the open source competitors,

With Azure SQL DWH I am resolving the scalability issues which I saw with other vendors

Azure SQL has a high-performance, globally available, and lower-cost secure cloud data warehouse. It has independently scale compute and storage. It has Combine with leading data integration and BI solutions.

it can improve the user interface and can adds some more shortcuts. some times its hard to find the right function key.

It has a high-performance, globally available, and lower-cost secure cloud data warehouse.

used for independently scale compute and storage. data integration and visualization services

1. This is very high in performance and lower in cost.

2. Provides secure cloud data warehouse.

3. This processes huge amount of data even parallel processing.

4. Native connectivity with data integration and visualization.

5. This uses intelligent caching to accelerate the data.

6. Significant query performance improvement.

7. Very good for OLAP environment.

8. Provides Platform as a service cloud based solution.

9. Built in automated database backups.

10. Combines relational data with cloud scale capabilities.

Azure data warehouse Supports only 1024 active connections.

1. Handled large volume data with massive storage. No storage limit.

2. Performance improvement even for large and complex queries.

3. Reduced dependency on IT team.

integrity, PaaS, Data mining, can use to build a data warehouse from scratch

none, very well covered for data warehouse projects

building data warehouse

Uified Analytics Platform

Scalability and Performance

Advanced Analytics Capabilities

Security and Compliance

Cost Optimization

Integration with Azure Services

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.

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.

Better view as a table and insights. Serverless SQL is the best advantage in that.

Connecting to the purview from synapse is difficult

Viewing the data in storage account