Talend Data Management Platform and IBM InfoSphere DataStage are leading competitors in the data integration space. User feedback suggests that Talend takes the lead in cost-effectiveness and ease of use, while IBM InfoSphere DataStage is favored for its enterprise-level features and scalability, albeit at a higher price point.
Features: Talend provides a versatile real-time data integration toolset, a central metadata repository, and strong cloud capabilities. Key features include its user-friendly open-source ETL transformations and a wide array of connectors. On the other hand, IBM InfoSphere DataStage excels in parallel processing, robust metadata management, and comprehensive support for complex ETL workflows, which is highly beneficial for large enterprises.
Room for Improvement: Users suggest Talend needs better technical support, improved administrative tools, and enhanced scalability. Additionally, attention to specific application connections and performance optimization is needed. For IBM InfoSphere DataStage, the high cost is a concern, and there is a call for improved integration with modern data sources, enhanced cloud functionalities, and a more user-friendly experience.
Ease of Deployment and Customer Service: Talend offers flexible deployment options across on-premises and public clouds, while IBM InfoSphere DataStage focuses more on on-premises and hybrid cloud environments. Talend's technical support has mixed reviews, indicating a need for quicker response times. In contrast, deploying DataStage is perceived as challenging with a steeper learning curve, necessitating higher expertise.
Pricing and ROI: Talend is more affordable, especially for small to mid-sized businesses, with a flexible subscription model reducing upfront costs. IBM InfoSphere DataStage's higher cost is often seen as justified by its scalability and functionality, yet some clients consider alternative solutions or negotiate costs. Both platforms deliver ROI through cost and resource expenditure reduction, with Talend users especially highlighting cost savings and flexible licensing.
We actually achieved the first 18 months worth of work in the first six months.
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.
We have not encountered many issues with remote engines, and the interfaces are properly developed.
The solution needs improvement in connectivity with big data technologies such as Spark.
I wonder if it supports other areas, such as cloud environments with open source support, or EdgeShift.
On the flip side, that is one of its amazing strengths, as you are not locked into a very rigid way of doing something.
Data management could also encompass APIs and real-time streaming data integration.
Pricing for IBM InfoSphere DataStage is moderate and not much expensive.
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.
Having access to Talend support directly from TNC proved quite beneficial.
| Product | Market Share (%) |
|---|---|
| IBM InfoSphere DataStage | 3.7% |
| Talend Data Management Platform | 1.0% |
| Other | 95.3% |
| Company Size | Count |
|---|---|
| Small Business | 22 |
| Midsize Enterprise | 4 |
| Large Enterprise | 25 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 5 |
| Large Enterprise | 8 |
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.
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