Azure Synapse vs Izenda: What are the differences?

# Introduction

Key differences between Azure Synapse and Izenda:

1. **Integration with Azure Services**: Azure Synapse is a fully managed analytics service that integrates with various Azure services like Azure Data Lake Storage, Azure Data Factory, and Azure SQL Data Warehouse. On the other hand, Izenda is a self-service business intelligence and analytics platform that can connect to a wide range of data sources but does not have the same level of deep integration with Azure services as Synapse does.

2. **Native Language Support**: Azure Synapse natively supports T-SQL for querying data in databases and data lakes, which provides familiarity and ease of use for SQL developers. In contrast, Izenda primarily uses SQL for data retrieval but also supports other languages like JavaScript and HTML for report creation and customization.

3. **Scalability and Performance**: Azure Synapse is designed for processing large volumes of data at high speed, enabling real-time analytics and insights. It offers scalable compute and storage resources to handle complex analytical workloads. Izenda, while providing decent performance, may not offer the same scalability and performance capabilities as Synapse for handling massive datasets.
4. **Data Modeling and ETL Capabilities**: Azure Synapse provides robust data modeling and ETL (Extract, Transform, Load) capabilities through its integrated workspace, allowing users to define data structures and transformations easily. In comparison, Izenda offers basic data modeling features but may require additional tools or workflows for complex ETL processes.
5. **Machine Learning Integration**: Azure Synapse seamlessly integrates with Azure Machine Learning for building and deploying machine learning models directly within the analytics workspace. This integration enhances predictive analytics capabilities within Synapse. On the contrary, Izenda does not have native integration with machine learning platforms and may require third-party tools or manual processes for incorporating machine learning into the analytics workflow.
6. **Deployment Options**: Azure Synapse offers both cloud-based and on-premises deployment options, providing flexibility for organizations with different infrastructure requirements. Izenda, on the other hand, is primarily a cloud-based solution and may have limitations in terms of on-premises deployment options for certain customers.

In Summary, Azure Synapse stands out for its deep integration with Azure services, native language support, scalability, and performance, while Izenda focuses on self-service BI, data modeling, and report customization with limitations in machine learning integration and deployment options.