Azure Synapse Analytics is described as the former Azure SQL Data Warehouse, evolved, and as a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives users the freedom to query data using either serverless or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.
$4,700
per month 5000 Synapse Commit Units (SCUs)
SAP Sales Cloud
Score 8.2 out of 10
N/A
SAP Sales Cloud (formerly SAP Cloud for Sales) is a cloud sales application with sales automation, enterprise resource planning (ERP) integration, and collaboration capabilities.
It's well suited for large, fastly growing, and frequently changing data warehouses (e.g., in startups). It's also suited for companies that want a single, relatively easy-to-use, centralized cloud service for all their data needs. Larger, more structured organizations could still benefit from this service by using Synapse Dedicated SQL Pools, knowing that costs will be much higher than other solutions. I think this product is not suited for smaller, simpler workloads (where an Azure SQL Database and a Data Factory could be enough) or very large scenarios, where it may be better to build custom infrastructure.
SAP Sales CLoud is not useful in cases where it needs zero downtime upgrades or new monthly releases or micro frontends.Although it is great for any cloud deployments, provides a unified view for the customers. Helps in AI insights recommendations and analytics. It is also optimised for mobile . It is robust and a highly scalable cloud plaform
It takes some time to setup a proper SQL Datawarehouse architecture. Without proper SSIS/automation scripts, this can be a very daunting task.
It takes a lot of foresight when designing a Data Warehouse. If not properly designed, it can be very troublesome to use and/or modify later on.
It takes a lot of effort to maintain. Businesses are continually changing. With that, a full time staff member or more will be required to maintain the SQL Data Warehouse.
SAP sales enables organizations to manage their sales activities, such as inquiries, quotations, orders, deliveries, billing, and payments. Also integrates with other SAP modules, such as finance, logistics, and marketing, to provide a comprehensive solution for managing the entire sales cycle. thats makes SAP a good choice
The data warehouse portion is very much like old style on-prem SQL server, so most SQL skills one has mastered carry over easily. Azure Data Factory has an easy drag and drop system which allows quick building of pipelines with minimal coding. The Spark portion is the only really complex portion, but if there's an in-house python expert, then the Spark portion is also quiet useable.
In short, SAP CRM is a complete service that will help improve marketing strategy and productivity. It covers various topics, from big data analytics to resource management and housing sales data. SAP CRM has a long list of features and can do them all.
Microsoft does its best to support Synapse. More and more articles are being added to the documentation, providing more useful information on best utilizing its features. The examples provided work well for basic knowledge, but more complex examples should be added to further assist in discovering the vast abilities that the system has.
SAP's customer service is quick and efficient, with a response time of fewer than some minutes. In either case, you'll get instant help from the vendor or online forums. In addition, the vendor provides excellent global support for this tool. Like Salesforce, SugarCRM, etc., it's probably fine as a standalone CRM option.
Training was mostly completed over a couple conference calls, and reading the API documentation. Our developers were able to implement quickly after reading the documentation.
When client is already having or using Azure then it’s wise to go with Synapse rather than using Snowflake. We got a lot of help from Microsoft consultants and Microsoft partners while implementing our EDW via Synapse and support is easily available via Microsoft resources and blogs. I don’t see that with Snowflake
We went with SAP Sales Cloud over Oracle Sales Cloud because it just clicks better with our way of doing things. SAP is like the superhero of sales software – it plays super well with all our other systems, grows with us as we get bigger, and gives us really smart insights into our sales. Plus, it's easy for our team to use, and we can tweak it to fit exactly how we work. While Oracle is good, SAP is like the perfect fit for our sales superhero team.
As a cloud-based solution, SAP Sales Cloud provides the flexibility to scale resources based on demand. Organizations can easily adjust their usage and storage requirements without the need for significant infrastructure changes. SAP Sales Cloud is designed to integrate seamlessly with other SAP solutions, such as ERP systems and marketing automation tools. This integration ensures a cohesive ecosystem across various business functions, contributing to overall scalability.
Positive Impact: SAP Sales Cloud can lead to increased sales efficiency by automating manual tasks, streamlining workflows, and providing real-time access to customer data. This can result in sales teams spending more time on revenue-generating activities.
Negative Impact: The initial costs associated with implementing SAP Sales Cloud, including licensing, customization, and training, can be significant. If not managed properly, this may impact the short-term financials and the expected payback period.
Negative Impact: The comprehensive features of SAP Sales Cloud might result in a steeper learning curve for users. If not addressed through adequate training and change management, this complexity can temporarily impact productivity.
