Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
The tool has made us tremendously more efficient and saved us a significant amount of money.
Using SSIS has proven cost-effective as there are no additional fees outside the SQL Server license, and it significantly enhances data management efficiency.
The support team is responsive and helpful.
The Salesforce team offers different levels of support.
The first line of support needs to be more knowledgeable.
MuleSoft Anypoint Platform is quite scalable, and it meets our use cases with no issues preventing implementation.
MuleSoft provides the ability to scale, yet it is costly to do so.
It processes large volumes of data quickly.
MuleSoft is considered expensive, so pricing is a major concern.
Currently, it uses other standards, but adopting OpenAPI, the standard in the market, would be beneficial.
When dealing with multiple transactions or trading, the system can lose control, and tracking becomes hectic.
Within the South African context, if you are getting your enterprise agreement from First Technology, they don't provide support.
SSIS has a difficult learning curve when dealing with complex transformations.
The logging capabilities could be improved, particularly for error logging.
I do not know the specific costs, but given that it is part of MuleSoft, I suspect it is not cheap.
MuleSoft is considered one of the more expensive products in the market.
The platform reduces manual workload in maintaining infrastructure, but it does come with some cost considerations.
Utilizing SSIS involves no extra charges beyond the SQL Server license.
It was included in our licensing for SQL server, and our licensing for SQL server was extremely cheap, making it a very good price point for us.
The platform is integrated with Salesforce, making it preferable when using Salesforce products.
MuleSoft Anypoint Platform helps to standardize data integration approaches, making it easier to implement integration projects.
The most valuable feature is the full lifecycle management, including Anypoint Designer and Exchange, as well as Discofolio API.
I would rate it at a 10 as it is highly reliable; we have never had any problems with it.
One of the best aspects of SSIS is that it is built into Microsoft SQL Server, so there are no additional costs involved.
We end up with people not understanding that you need to build your models correctly, and then they try to model everything inside of Power BI, or another visualization tool, without first building the data model.
Company Size | Count |
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Small Business | 21 |
Midsize Enterprise | 12 |
Large Enterprise | 29 |
Company Size | Count |
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Small Business | 26 |
Midsize Enterprise | 19 |
Large Enterprise | 57 |
MuleSoft Anypoint Platform provides API management and integration capabilities with scalability, ensuring seamless connectivity across systems.
MuleSoft Anypoint Platform offers API management and integration capabilities within a user-friendly interface. With a range of connectors and the ability to handle integration patterns, it enables data integration across environments with support for API-led connectivity. High scalability, observability, batch processing, and tooling are key features, enhancing performance while simplifying deployment.
What are the standout features of MuleSoft Anypoint Platform?MuleSoft Anypoint Platform is employed by organizations for API management and seamless integration across systems in industries like retail and e-commerce. It connects enterprise applications in environments such as SAP and Salesforce. Users leverage it for data transformation and synchronization, achieving efficient real-time processing and a middleware layer across systems.
SSIS is a versatile tool for data integration tasks like ETL processes, data migration, and real-time data processing. Users appreciate its ease of use, data transformation tools, scheduling capabilities, and extensive connectivity options. It enhances productivity and efficiency within organizations by streamlining data-related processes and improving data quality and consistency.
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