IBM InfoSphere DataStage vs SnapLogic comparison

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IBM InfoSphere DataStage

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Executive Summary

We performed a comparison between IBM InfoSphere DataStage and SnapLogic based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed IBM InfoSphere DataStage vs. SnapLogic Report (Updated: May 2024).

IBM InfoSphere DataStage vs. SnapLogic

May 2024

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Categories and Ranking

IBM InfoSphere DataStage

Ranking in Data Integration

7th

Average Rating

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

SnapLogic

Ranking in Data Integration

14th

Average Rating

7.8

Number of Reviews

Ranking in other categories

Process Automation (10th), Cloud Data Integration (7th), Integration Platform as a Service (iPaaS) (6th)

Market share comparison

As of June 2024, in the Data Integration category, the market share of IBM InfoSphere DataStage is 6.6% and it increased by 6.5% compared to the previous year. The market share of SnapLogic is 1.6% and it increased by 28.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Unique Categories:

No other categories found

Process Automation

0.2%

Cloud Data Integration

5.0%

Featured Reviews

Murali B

Data Engineer at Ernst & Young

Mar 28, 2024

Facilitated our peak data integration projects, offers good GUI and availability of connectors is strong

DataStage facilitated our peak data integration projects. For example, big data integrations have happened, particularly when we worked with BigQuery files... that integration server. DataStage parallel processing capabilities have improved data tasks. When I worked with DataStage, it could handle around two terabytes of data. We have other appliances as well, but we're processing data concurrently. It was good. My team supported it well, and everything worked fine. The GUI was good. Compared to Cloud Pak for Data, we have some enhanced connectors in the standard InfoSphere DataStage version. That standard version is really good; it's easy to use. When we want to find out the absolute quality of data, the governance features really helped. For example, when we tried to identify discrepancies between systems, it worked well.

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Xiaoqing Zou

Integration developer at Blackwoods

Mar 19, 2024

Easy to use, less coding and user-friendly in terms of debugging but not very comprehensive solution

SnapLogic is more user-friendly than Boomi in terms of debugging. You can move the mouse to a place, and it will record and show the data easily. With Boomi, you have to double-click, open it, and then choose which information you want to see. Sometimes, you don't know what information will be displayed or what information you're not seeing. You have to have experience with Boomi to be able to understand, but with SnapLogic, it's working. It offers the same core functionalities as other integration tools. I don't see a clear differentiation. They are all competing in the same market, targeting the same customer base. I think broader technology trends make it harder to see the distinctions that may have existed previously. So, we are moving towards Boomi. We're even exploring Microsoft Azure integration services now.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The most valuable feature is the ability to transfer information via notes."

"The concept of integration is a valuable feature of the product."

"Finding logs is very easy on the solution."

"Once you have Infosphere up and running properly, it is stable."

"The most valuable feature is the data integration for data warehousing."

"The Hierarchical Data Stage is good."

"DataStage works better with Linux operating systems when the application services are hosted on Linux system equipment, but it's powerful on Windows too."

"As a data integration platform, it is easy to use. It is quite robust and useful for volumetric analysis when you have huge volumes of data. We have tested it for up to ten million rows, and it is robust enough to process ten million rows internally with its parallel processing. Its error logging mechanism is far simpler and easier to understand than other data integration tools. The newer version of InfoSphere has the data catalog and IDC lineage. They are helpful in the easy traceability of columns and tables."

More IBM InfoSphere DataStage pros

"The vendor handles the maintenance of the solution"

"The feature I found most valuable in SnapLogic is low-code development. Low-code development has been very useful for simple processes, which is required for business users such as extracting details from a file or getting things reported by calling your web service. Calling your web service also becomes easier with SnapLogic because of the snaps available, so if you have the documentation, you can call an API. You don't have to write all those clients to call an API, so that is another feature I found very easy in SnapLogic. Configuring and managing all the file systems also become very handy with the solution."

"The product is easy to use and has many connectivity options."

"It is a stable solution."

"It's more developer-friendly, and development can be done at a faster phase."

"The API architecture makes it easy for orchestration."

"Despite having no prior experience in SnapLogic, we managed to build, test, and prepare it for release in just three hours, handling heavy data efficiently."

"An important tool for building prototypes and MVPs than can seamlessly turn into production jobs"

More SnapLogic pros

Cons

"In the future, I would like to see more integration with cloud technologies."

"It takes a lot of time to actually trigger your job and then go into the logs and other stuff. So all of this is really time-consuming."

"I really like this tool, but the administration should be on the same client application because a lot of administration features are not on the client-side, and they usually need to have administrative access. It's quite complicated to force IT teams to have separate administrative access from the developers."

"The solution should be more user-friendly."

"I'd like to be able to do more with the data and metadata, including copy and pasting, et cetera."

"I want the tool to continue with the on-prem version, not the cloud one."

"DataStage is quite expensive. It is too hard to find a consultant using DataStage in Turkey."

"There are three things that could improve - the cloud, monitoring and cloud integration. It's a solid product but not a modern one and of course it depends what you're looking for."

More IBM InfoSphere DataStage cons

"One area for improvement in SnapLogic is the transparency in the flow of data. It needs to have more transparency. Right now, users only have a preview option at the end of any job flow, so at the end of any Snap Pack, there is a data preview option that lets you review the data and see how it's moving. What would make the solution better is more debugging and more access to change data from the preview panel or more functionality in terms of the preview option."

"SnapLogic sits somewhere in the middle. It doesn’t offer enough easy canned integrations for its users like some of the easier to use integration apps."

"I would like to see more performance-related dashboards, ones that display the cost of a pipeline, for instance. Also, it would be helpful to have management dashboards for overseeing pipelines and connections."

"What could be improved in SnapLogic is that it was not capable in terms of processing a large number of datasets, but at that point, SnapLogic was evolving. It didn't give a lot of Snaps. I heard recently there are a lot of Snaps getting added and the solution was being enhanced, particularly to connect different data sources. When I was working with SnapLogic six months to one year back, I faced the issue of it not being capable of handling a huge volume of datasets or didn't have much of Snaps, and that was the drawback. If there is any large number of data sets, that's based on or depends on your configuration. If it is a huge volume of data, other traditional ETL tools such as Informatica and Talend can process millions and billions of records, while in SnapLogic, the Snaplex fails or it returns an error in terms of processing that huge volume of data. Informatica, Talend, or any other ETL tool can run for hours in terms of jobs, while SnapLogic jobs fail when the threshold is reached. SnapLogic isn't able to withstand processing, but I don't know if that's still an issue at present, because the solution is getting enhanced and it's been more than six months to one year since I last worked with SnapLogic. There are now a lot of Snaps getting added to the solution, and if it can overcome the limitations I mentioned, SnapLogic could be the go-to tool because currently, it's not being used as much in organizations. It's being used comparatively less compared to other retail tools."

"I am looking for more scheduling options. When it comes to scheduling, there are different tools in the market."

"I don't think the support has better knowledge about technologies and tool support. There were lots of times when we had an issue, and it took me quite a long time to explain the problem. I feel like some of the support staff don't know their product well."

"The support is the most important improvement they could make."

"Connecting to data behind enterprise firewalls has been tricky."

More SnapLogic cons

Pricing and Cost Advice

"The solution is cheap."

"Pricing varies based on use, and it is not as costly as some competing enterprise solutions."

"The price is expensive but there are no licensing fees."

"The product is expensive."

"Our internal team takes care of group licensing and cost. We don't have individual licenses. We have group licensing at the company level. Usually, IBM doesn't charge anything separately on the licensing side. For storage and everything else, we are paying around $6,000 per month, which is not very high. It includes Linux data storage, execution, and licensing. They're charging $40 for one-hour execution. Based on that, we are spending around $2,000 on the production environment and $1,000 on the lower environment for testing and development-side executions. For the mainframe, we are using the Db2 mainframe database, and we are spending around $1,000 on the Db2 mainframe database as well. All this comes out to be around $6,000. We, however, would like to have some cost reduction."

"It's quite expensive."

"I have no information on the exact pricing for IBM InfoSphere DataStage because the solution is usually procured by the clients my company works with, though the pricing is higher compared to other solutions, so many clients choose to go with a different solution rather than IBM InfoSphere DataStage."

"It's very expensive."

More IBM InfoSphere DataStage pricing and cost advice

"By scaling the solution incrementally the cost is controlled and more beneficial to the client."

"SnapLogic is not expensive. It's reasonably priced."

"When comparing it with solutions like Apigee or MuleSoft, it still offers better value."

"The pricing is okay."

"They have pricing/usage tiers that are easy to move up or down."

"The license model is based on consumption."

"From the ROI perspective, the price is extremely high"

"The cost with SnapLogic is an annual license and better than Informatica."

More SnapLogic pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

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Top Industries

By visitors reading reviews

Financial Services Firm

26%

Manufacturing Company

11%

Computer Software Company

10%

Insurance Company

Financial Services Firm

22%

Manufacturing Company

11%

Computer Software Company

11%

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Would you upgrade to more premium versions of IBM InfoSphere DataStage?

My company currently uses the free version of the product, and we are definitely switching to a paid one. We needed a tool that can help us not only integrate our data but use it effectively. For ...

Is IBM InfoSphere DataStage more difficult to use compared to other tools in the field?

I think the tool may cause some difficulties if you have not used other data integration solutions before. I have worked at companies that used different tools for data integration, and they work ...

Do you rely on IBM Cloud Paks for your data? Have you utilized this product, or do you use IBM InfoSphere DataStage without it?

IBM Cloud Paks makes a big difference in your data integration. My company has been using it alongside IBM InfoSphere DataStage and while the main product is good on its own, this one truly expands...

What do you like most about SnapLogic?

Despite having no prior experience in SnapLogic, we managed to build, test, and prepare it for release in just three hours, handling heavy data efficiently.

What needs improvement with SnapLogic?

The problem is that SnapLogic doesn't offer a wide variety of connectors. For example, integrating with Salesforce is not that easy, unlike with MuleSoft, which is much easier and also provides a d...

What is your primary use case for SnapLogic?

I work as a solution architect, mainly focusing on integrating new software entities. Due to a client's needs to evaluate products, SnapLogic was considered, and we conducted some Proof of Concepts...

SSIS vs IBM InfoSphere DataStage

Comparisons

Compared 11% of the time

IBM Cloud Pak for Data vs IBM InfoSphere DataStage

Compared 11% of the time

Azure Data Factory vs IBM InfoSphere DataStage

Compared 11% of the time

Talend Open Studio vs IBM InfoSphere DataStage

Compared 10% of the time

AWS Glue vs IBM InfoSphere DataStage

Compared 5% of the time

More IBM InfoSphere DataStage Competitors

AWS Glue vs SnapLogic

Compared 12% of the time

Azure Data Factory vs SnapLogic

Compared 11% of the time

Informatica Cloud Data Integration vs SnapLogic

Compared 7% of the time

SSIS vs SnapLogic

Compared 6% of the time

Alteryx Designer vs SnapLogic

Compared 5% of the time

More SnapLogic Competitors

Product Reports

Download IBM InfoSphere DataStage product report

IBM InfoSphere DataStage

June 2024

Download SnapLogic product report

May 2024

Also Known As

No data available

DataFlow

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IBM

Overview

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:

Designing data flows to extract information from multiple sources, transform the data, and deliver it to target databases or applications.
Delivery of relevant and accurate data through direct connections to enterprise applications.
Reduction of development time and improvement of consistency through prebuilt functions.
Utilization of InfoSphere Information Server tools for accelerating the project delivery cycle.

IBM InfoSphere DataStage can be deployed in various ways, including:

As a service: The tool can be accessed from a subscription model, where its capabilities are a part of IBM DataStage on IBM Cloud Park for Data as a Service. This option offers full management on IBM Cloud.
On premises or in any cloud: The two editions - IBM DataStage Enterprise and IBM DataStage Enterprise Plus - can run workloads on premises or in any cloud when added to IBM DataStage on IBM Cloud Pak for Data as a Service.
On premises: The basic jobs of the tool can be run on premises using IBM DataStage.

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:

AI services: The tool offers services such as data science, event messaging, data warehousing, and data virtualization. It accelerates processes through artificial intelligence (AI) and offers a connection with IBM Cloud Paks - the cloud-native insight platform of the solution.
Parallel engine: Through this feature, ETL performance can be optimized to process data at scale. This is achieved through parallel engine and load balancing, which maximizes throughput.
Metadata support: This feature of the product uses the IBM Watson Knowledge Catalog to protect companies' sensitive data and monitor who can access it and at what levels.
Automated delivery pipelines: IBM InfoSphere DataStage reduces costs by automating continuous integration and delivery of pipelines.
Prebuilt connectors: The feature for prebuilt connectivity and stages allows users to move data between multiple cloud sources and data warehouses, including IBM native products.
IBM DataStage Flow Designer: This feature offers assistance through machine learning design. The product offers its clients a user-friendly interface which facilitates the work process.
IBM InfoSphere QualityStage: The tool provides a feature that automatically resolves data quality issues and increases the reliability of the delivered data.
Automated failure detection: Through this feature, companies can reduce infrastructure management efforts, relying on the automated detection that the tool offers.
Distributed data processing: Cloud runtimes can be executed remotely through this feature while maintaining its sovereignty and decreasing costs.

IBM InfoSphere DataStage Benefits

This solution offers many benefits for the companies that utilize it for data integration. Some of these benefits include:

Increased speed of workload execution due to better balancing and a parallel engine.
Reduction of data movement costs through integrations and seamless design of jobs.
Modernization of data integration by extending the capabilities of companies' data.
Delivery of reliable data through IBM Cloud Pak for Data.
Utilization of a drag-and-drop interface which assists in the delivery of data without the need for code.
Effective data manipulation allows data to be merged before being mapped and transformed.
Creating easier access of users to their data by providing visual maps of the process and the delivered data.

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.

The SnapLogic Intelligent Integration Platform uses AI-powered workflows to automate all stages of IT integration projects – design, development, deployment, and maintenance – whether on-premises, in the cloud, or in hybrid environments. The platform’s easy-to-use, self-service interface enables both expert and citizen integrators to manage all application integration, data integration, API management, B2B integration, and data engineering projects on a single, scalable platform. With SnapLogic, organizations can connect all of their enterprise systems quickly and easily to automate business processes, accelerate analytics, and drive transformation.

Sample Customers

Dubai Statistics Center, Etisalat Egypt

Adobe, ADP, BlackBerry, Bonobos, Box, Capital One, Dannon, Eero, Endo, Gensler, HCL, HP, Grovo, HIS, iRobot, Leica, Merck, Sans, Target, Verizon, Vodafone, Yelp, Yahoo!