Azure Synapse Analytics is a limitless data analytics service that combines big data analysis and storage. It is aimed at larger enterprises with a need for processing large volumes of data.
Azure Synapse Analytics combines the management, processing, and reporting of large data volumes in a single service, preparing the data for intelligent analysis. Coupled with solutions like Power BI and Azure Machine Learning, enterprises can receive prompt access to business intelligence and insights.
Synapse is a SaaS-based service, so you can run it on demand, contributing to the cost-efficiency of deployment. However, the biggest benefit is the platform’s capacity to work with structured and unstructured data, adding to the quality of insights delivered.
Let’s see why businesses should consider moving to Azure Synapse Analytics when scaling up.
Why do businesses need Synapse?
There is no limitation on the data businesses can process through Azure Synapse Analytics, making it a great option for scaling business operations. Below are five more compelling reasons why companies should have Synapse on their roadmap.
1. Unified platform
Microsoft Azure is a full suite of data-related services that can run independently. However, the disparate nature of its data services causes friction between systems in terms of data shareability between applications. Azure Synapse Analytics bridges the gap between Azure services such as Spark Pools, Power BI, and SQL Pools, bringing all the related services onto the same platform.
Essentially, Synapse unifies diverse data analytics and business intelligence services and reinforces them with limitless data processing, management, and analytics capabilities. Azure Synapse Analytics is a comprehensive tool capable of performing numerous data-related functions.
On this unified platform, businesses can do the following:
- Store and explore data
- Experiment with the data
- Create data pipelines
2. Excellent reporting and visualization
When integrated into Power BI, Azure Synapse Analytics brings incomparable data visualization and reporting features to the table. In addition, the integration between the two services is seamless; it is native and of the same family.
Leveraging its uncomplicated and unified data processing power, Synapse feeds Power BI with high-quality data, helping it generate more precise results. In addition, organizations can use the numerous data visualization tools available in Power BI to simplify complicated insights.
3. Scalability
Azure Synapse Analytics is a cloud-based solution with unlimited information analysis. It has been innately designed for enterprise-level organizations operating at large scale. Businesses set for exponential growth should invest in Synapse for scalability, versatility, and flexibility in data processing, management, and analytics operations.
The ability of Azure Synapse Analytics to integrate with other Microsoft Services makes it an excellent augmentation medium to adapt internal data systems for growth and expansion. However, the biggest benefit is seen in the unlimited data processing power.
Coupling Synapse with storage and querying tools—SQL Pool and Data Factory are good examples—brings the added benefit of exploring and transforming data at scale.
4. Tech capabilities: Spark, SQL, Cosmos DB
Stellar technical capacities power Azure Synapse Analytics.
- SQL querying can be performed across varied data sources and formats. In addition, Synapse supports on-demand (serverless) or provisioned capacity models (SQL Pools).
- The environment is powered by Apache Spark 2.4 and Python 3.6, providing seamless security and easy connection to accounts.
- It is possible to query the analytical store through Synapse Link using Spark, Cosmos DB, or serverless mode.
Azure Synapse Analytics vs. Amazon Web Services vs. Google Analytics
Services similar to Azure Synapse Analytics on the market today include Amazon Web Services and Google Analytics. Let’s see how it compares against these competitors.
| Property | AWS | Google Analytics | Azure Synapse Analytics |
| Total cost of ownership | $7 million | $12 million | $6 million |
| IoT | Yes, AWS IoT. 50 free remote actions every month | IoT Core. To be discontinued on 18th August 2023 | Yes, Azure IoT. Free trial available |
| Networking | Virtual Private Cloud. Differentiating factor: AWS Web Application Firewall | Cloud Virtual Network | Azure Virtual Networks. Differentiating factor: PaaS networking support |
| Database | Relational database service with up to 20GB of storage for 12 months (free) | Cloud Database with instance sizes between 10 GB and 10 TB | The most advanced (relational) database amongst the three with options for high-performance caching |
| Compute | Elastic Compute Cloud (EC2) with 40 sizes of virtual server instances | Compute Engine with “Build Your Own” instance and variable pricing | Virtual Machines with 40 instances of virtual server sizes, 20 cores, and memory of 140GB |
With its powerful computational prowess, advanced database, and networking, Azure Synapse Analytics provides more value for investment with the least cost of ownership of an analytics system of such scope.
Leverage the power of thorough, accurate insights with PreludeSys
Azure Synapse Analytics is a robust platform for unifying organizations’ data-based operations: management, processing, storage, analytics, intelligence, and exploration. It provides excellent bandwidth to help businesses adjust their data needs from a system by providing limitless access to data analytics.
Implementing Azure Synapse Analytics can be simpler and more efficient with the support of Microsoft-certified partners like PreludeSys. Businesses benefit from custom configurations and continued support and training for Azure Synapse Analytics with PreludeSys.
For more information, connect with our experts.
