Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
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.
Sometimes, in my early days, when I was stuck with something, they helped me solve these issues, and even helped me solve some of my automations.
Scaling it gets quite expensive, and while I cannot evaluate it purely from a technology perspective, compared to Workato, I would give Zapier a seven for scalability.
In my current company, we had significant challenges with Zapier regarding maintenance, as Zaps were often broken, not necessarily due to Zapier, but due to changes in the input variables.
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.
Specific workflows could be created to pull transformed data through Zapier workflow directly into visualization tools for dashboard and report creation.
I would appreciate if there would be a feature where we can use actions right after loops. Currently, you cannot use any other action after the loop. Everything needs to be within the loop.
You can build similar or dependent automations in one Zap, which helps with understanding the process without switching between different records.
Pricing for IBM InfoSphere DataStage is moderate and not much expensive.
It is straightforward from a design and development perspective, and also for deployment.
IBM InfoSphere DataStage is very scalable, allowing us to extend it according to our processing needs.
It made my life easier, and it helped me a lot. There was a lot of work that I have automated, and it helps me save a lot of time, which I can use to do other activities.
They have approximately 7,000 connections.
By specifying conditional logic rather than transforming and performing conditions within the visualization tool, Zapier provides conditional logic on the behavioral side to get specific data and load it into Power BI visualization tool.
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.
Zapier is a tool for primarily non-technical users to connect together web apps.
An integration between two apps is called a Zap. A Zap is made up of a Trigger and one or more Actions or Searches.
Whenever the trigger happens in one app, Zapier will automatically perform the actions or searches in another app in order.
Zaps are very lightweight and easy to set up. Zaps do not import or export old data (they only operate on new items created after the Zap is enabled). Zaps are also not kept in sync ("two way syncing") after the Zap is triggered.
Zaps are deceivingly simple if you're used to dealing with complex and difficult integrations. Their simplicity is what enables anyone to create them.
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