IBM InfoSphere DataStage and Fivetran are prominent competitors in the data integration and ETL space. While both have their strengths, Fivetran has an edge in terms of ease of deployment and user-friendly operation, especially in cloud environments.
Features: IBM InfoSphere DataStage excels in scalability, robust data integration, and metadata management, with the ability to handle complex ETL processes efficiently and parallel processing capabilities for managing large data sets. On the other hand, Fivetran is known for its ease of use, managed pipelines, and integration with DBT for data transformation, alongside seamless data ingestion and replication capabilities.
Room for Improvement: IBM InfoSphere DataStage needs better cloud integration, reduced costs, and more intuitive user interfaces, alongside improved support for non-IBM tools and greater versatility in handling modern data sources. Fivetran could enhance customization options, connector availability, and pipeline observability, with its pricing model regarded as steep, particularly for large data volumes, needing better real-time data handling and transformation.
Ease of Deployment and Customer Service: IBM InfoSphere DataStage is mainly on-premise, leading to complex setups, whereas Fivetran offers simpler deployment with a cloud-first strategy. IBM's support is dependable but varies by region and can be slow; Fivetran's support is highly rated, although improvements in response time are needed.
Pricing and ROI: IBM InfoSphere DataStage is costly for small to medium businesses and has a high ownership cost with complex pricing, while competitive for enterprise projects. Fivetran's pricing, although expensive, is more economical with higher data volumes. Both solutions present potential for good ROI, with significant operational efficiencies noted.
It saves us the effort of having one to two data engineers managing the tasks that Fivetran handles.
The technical support provided by Fivetran has generally been good, with a response time and competence that I would rate as good.
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.
During the duration of the time that we used Fivetran, it was highly stable.
From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option.
Improvement in existing connectors with new features is desirable.
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.
Our current yearly contract for Fivetran is approximately $70,000.
Pricing for IBM InfoSphere DataStage is moderate and not much expensive.
The most valuable feature of Fivetran is its built-in connectors for a wide range of data sources.
The ability to seamlessly integrate with a large variety of data sources is valuable.
As we are a financial organization, security is our main concern, so we prefer enterprise tools.
The failure detection has been very useful for us, as well as the load balancing feature.
Fivetran, the global leader in data movement, is trusted by companies like OpenAI, LVMH, Pfizer, Verizon and Spotify to centralize data from SaaS applications, databases, files, and other sources into cloud destinations, including data lakes. With high-performance pipelines, seamless interoperability, and enterprise-grade security, Fivetran empowers organizations to modernize their data infrastructure, power analytics and AI, ensure compliance, and achieve transformative business outcomes. Learn more at Fivetran.com
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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