Find out in this report how the two Integration Platform as a Service (iPaaS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
We have automated complete order-to-cash processes for multiple customers, saving over 90 million dollars.
The return is faster since development efforts are minimized, allowing for quicker integration delivery.
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 tech support is very good, offering immediate responses and chat options.
Seamlessly meeting SLAs and providing excellent responses to challenges and issues related to interface and data connectivity.
We receive service that is more than adequate, even exceptional.
The first line of support needs to be more knowledgeable.
The reason we wanted to use our own Kubernetes cluster was to do automatic scaling for utilized resources, allowing us to save.
We have built approximately 1,100 interfaces for one customer, which is a significant achievement.
It processes large volumes of data quickly.
The ETL aspect of Boomi iPaaS is not mature enough at the moment.
With proper version control, you could know which version to revert to and test other versions.
The integration landscape has become complex, and having a data strategy with unified data models would make integration easier for any platform, including Boomi.
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.
The pricing for Boomi iPaaS is reasonable, costing around $6,000 per year.
Companies often misunderstand ROI, seeing it as high, yet it equates to one or two full-time staff costs, addressing many needs.
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.
It automates the creation and population of a data warehouse, reducing the need to write SQL scripts and procedures.
The most valuable features of Boomi are the integration capabilities, the Data Hub product, and the UDI integration.
It provides automation for everything from order to cash, which is thoroughly documented, tracked, and streamlined within Boomi iPaaS.
It is a very robust tool that can work with many data sources, and its main strength is that it is extremely easy to use.
SSAS is included in the base installation of SQL Server.
One of the best aspects of SSIS is that it is built into Microsoft SQL Server, so there are no additional costs involved.
| Product | Market Share (%) |
|---|---|
| Boomi iPaaS | 12.5% |
| Microsoft Azure Logic Apps | 12.4% |
| MuleSoft Anypoint Platform | 10.4% |
| Other | 64.7% |
| Product | Market Share (%) |
|---|---|
| SSIS | 5.7% |
| Informatica PowerCenter | 6.0% |
| Azure Data Factory | 5.2% |
| Other | 83.1% |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 19 |
| Large Enterprise | 57 |
The Boomi AtomSphere integration platform as a service (iPaaS) supports all your application integration processes – between cloud platforms, software-as-a-service applications, and on-premises systems. Your entire team has online access to a powerful range of integration and data management capabilities, that can be realized in a fraction of the time of legacy middleware technologies.
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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