Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration.
It is considered cost-efficient because it leads to the re-utilization of channels and platforms, which saves time and money.
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.
We also have the flexibility to submit a feature request to be included as part of the wishlist, potentially becoming a product feature in subsequent releases.
IBM tech support has allocated dedicated resources, making it satisfactory.
Their support aligns with what I have experienced with Informatica data quality teams, and it is quite effective.
Informatica's technical support team is very supportive and provides help whenever required.
The support was good enough, and they were able to resolve all the issues I raised in the past.
The first line of support needs to be more knowledgeable.
Technical errors sometimes occur, such as network breakages at the source level, which breaks connectivity.
It processes large volumes of data quickly.
I wonder if it supports other areas, such as cloud environments with open source support, or EdgeShift.
The solution needs improvement in connectivity with big data technologies such as Spark.
One area that could be improved is performance, as PowerExchange sometimes has less performance compared to native connectors when dealing with a huge volume of data.
The addition of data quality dashboards or measures would also help in profiling data to assess its health before sharing or moving it.
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.
Pricing for IBM InfoSphere DataStage is moderate and not much expensive.
The pricing and cost depend heavily on SAP's licensing structure, especially if using SAP integration services.
Informatica PowerExchange is considered cost-efficient due to reduced number of APIs needed.
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.
Utilizing SSIS involves no extra charges beyond the SQL Server license.
The failure detection has been very useful for us, as well as the load balancing feature.
As we are a financial organization, security is our main concern, so we prefer enterprise tools.
It also reduces the number of APIs needed for new integrations by offering a unified exchange platform.
The primary advantage of Informatica PowerExchange is being able to extract data from source systems that Informatica does not natively support.
PowerExchange is one of the best software solutions to build integrations with non-Oracle or standard database services, especially for SAP and Hana products.
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 (%) |
|---|---|
| SSIS | 5.7% |
| IBM InfoSphere DataStage | 3.5% |
| Informatica PowerExchange | 1.2% |
| Other | 89.6% |
| Company Size | Count |
|---|---|
| Small Business | 23 |
| Midsize Enterprise | 4 |
| Large Enterprise | 25 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 3 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 19 |
| Large Enterprise | 57 |
IBM InfoSphere DataStage is a high-quality data integration tool that aims to design, develop, and run jobs that move and transform data for organizations of different sizes. The product works by integrating data across multiple systems through a high-performance parallel framework. It supports extended metadata management, enterprise connectivity, and integration of all types of data.
The solution is the data integration component of IBM InfoSphere Information Server, providing a graphical framework for moving data from source systems to target systems. IBM InfoSphere DataStage can deliver data to data warehouses, data marts, operational data sources, and other enterprise applications. The tool works with various types of patterns - extract, transform and load (ETL), and extract, load, and transform (ELT). The scalability of the platform is achieved by using parallel processing and enterprise connectivity.
The solution has various versions, catering to different types of companies, which include the Server Edition, the Enterprise Edition, and the MVS Edition. Depending on which version a company has bought, different goals can be achieved. They include the following:
IBM InfoSphere DataStage can be deployed in various ways, including:
IBM InfoSphere DataStage Features
The tool has various features through which users can integrate and utilize their data effectively. The components of IBM InfoSphere DataStage include:
IBM InfoSphere DataStage Benefits
This solution offers many benefits for the companies that utilize it for data integration. Some of these benefits include:
Reviews from Real Users
A data/solution architect at a computer software company says the product is robust, easy to use, has a simple error logging mechanism, and works very well for huge volumes of data.
Tirthankar Roy Chowdhury, team leader at Tata Consultancy Services, feels the tool is user-friendly with a lot of functionalities, and doesn't require much coding because of its drag-and-drop features.
Informatica PowerExchange Connectors provides high performance, out-of-the-box connectivity without having to develop custom data access programs.
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.
