Teradata and IBM InfoSphere DataStage are major contenders in the data management sector, focusing on data warehouses and ETL tasks, respectively. Teradata appears to have the upper hand with its strong performance and scalability, although IBM InfoSphere DataStage is recognized for its flexible ETL capabilities and moderate pricing.
Features: Teradata provides strong parallel processing and linear scalability, making it ideal for handling massive data queries effectively. It excels in rapid query execution and easy integration with various systems. IBM InfoSphere DataStage is notable for its robust ETL functionality and ability to handle intricate data transformations. It supports the integration of multiple data sources and efficient transaction management.
Room for Improvement: Teradata's noted drawbacks include its high cost, evolving cloud integration, and challenges with transactional processing speed. IBM InfoSphere DataStage requires enhancement in handling non-structured data, cloud integration, and simplification of its user interface. The setup complexity and cost are additional concerns.
Ease of Deployment and Customer Service: Teradata is available on hybrid and public clouds but has mixed reviews in terms of deployment ease due to complex integration procedures. Despite generally high ratings, its customer service can sometimes be slow. IBM InfoSphere DataStage is mainly on-premises with hybrid options. It is known for commendable technical support but could benefit from quicker response times.
Pricing and ROI: Teradata is expensive, best suited for large enterprises with significant budgets, and offers a substantial ROI due to its performance. IBM InfoSphere DataStage offers a competitive price, appealing to mid-sized enterprises, and provides a reasonable ROI, making it attractive to budget-conscious businesses.
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.
The technical support from Teradata is quite advanced.
Customer support is very good, rated eight out of ten under our essential agreement.
This expansion can occur without incurring downtime or taking systems offline.
Scalability is complex as you need to purchase a license and coordinate with Teradata for additional disk space and CPU.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
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.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
Pricing for IBM InfoSphere DataStage is moderate and not much expensive.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
IBM InfoSphere DataStage is very scalable, allowing us to extend it according to our processing needs.
The failure detection has been very useful for us, as well as the load balancing feature.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
| Product | Market Share (%) |
|---|---|
| IBM InfoSphere DataStage | 3.7% |
| Teradata | 1.1% |
| Other | 95.2% |
| Company Size | Count |
|---|---|
| Small Business | 22 |
| Midsize Enterprise | 4 |
| Large Enterprise | 25 |
| Company Size | Count |
|---|---|
| Small Business | 25 |
| Midsize Enterprise | 12 |
| Large Enterprise | 49 |
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.
Teradata is a scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.
As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.
What are the most important features of Teradata?Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.
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