IBM® DataStage® is a data integration tool that helps users to design, develop and run jobs that move and transform data. At its core, the DataStage tool supports extract, transform and load (ETL) and extract, load and transform (ELT) patterns. A basic version of the software is available for on-premises deployment, and the cloud-based DataStage for IBM Cloud Pak® for Data offers automated integration capabilities in a hybrid or multicloud environment.
N/A
Skyvia
Score 9.9 out of 10
Mid-Size Companies (51-1,000 employees)
Skyvia is a no-code cloud data integration platform for ETL, ELT, Reverse ETL, data migration, one-way and bi-directional data sync, workflow automation, and real-time connectivity. Benefits of Using Skyvia: • Cost efficiency: With flexible pricing plans for each product, Skyvia suites for businesses of any size. • Flexibility: Skyvia provides adaptable, no-code integration tools for both basic and advanced business…
$99
per month
Pricing
IBM DataStage
Skyvia
Editions & Modules
No answers on this topic
Basic
$99
per month
Standard
$199
per month
Professional
$249
per month
Offerings
Pricing Offerings
IBM DataStage
Skyvia
Free Trial
Yes
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
20% discount for annual pricing.
More Pricing Information
Community Pulse
IBM DataStage
Skyvia
Features
IBM DataStage
Skyvia
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM DataStage
9.5
Ratings
12% above category average
Skyvia
9.9
Ratings
17% above category average
Connect to traditional data sources
10.00 Ratings
9.90 Ratings
Connecto to Big Data and NoSQL
9.00 Ratings
00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM DataStage
8.0
Ratings
2% below category average
Skyvia
9.0
Ratings
10% above category average
Simple transformations
8.00 Ratings
9.00 Ratings
Complex transformations
8.00 Ratings
00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM DataStage
6.3
Ratings
23% below category average
Skyvia
9.5
Ratings
17% above category average
Data model creation
5.00 Ratings
9.10 Ratings
Metadata management
5.00 Ratings
00 Ratings
Business rules and workflow
6.00 Ratings
9.90 Ratings
Collaboration
6.00 Ratings
00 Ratings
Testing and debugging
6.00 Ratings
00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Excellent Cloud data mapping tool and easy creating multiple project data analytics in real-time and the report distribution are excellent via this IBM product. Easy tool to provide data visualization and the integration is effective and helpful to migrating huge amounts of data across other platforms and different websites insights gathering.
1. It can be connected to slack for companies that uses that system. 2. Also can be connected to Google Drive to share information from spreadsheets and csv data. 3. It works efficiently with WordPress websites which are the most used platform for web development. 4. It connects ORACLE's databases with different systems online and that's very useful.
Because it is a flexible tool that can manage many flows and create a strong solution with a interesting use of variables. Easy to scale up as you can copy jobs arleady build and modify them. SQL queries allow to be fast in development and have the pushdown feature, but you loose a little of user friendly look. Metadata management is not strong as a visual feature, but can be determine by job codes.
Because as a developer and programmer is very easy to work with and provides many options to very complex problems. It provides guides for integration that are very useful and makes us save a lot of money and time on integrations. Also Skyvia is constantly adding more data systems on their lists for us to provide as web managers.
It could load thousands of records in seconds. But in the Parallel version, you need to understand how to particionate the data. If you use the algorithms erroneously, or the functionalities that it gives for the parsing of data, the performance can fall drastically, even with few records. It is necessary to have people with experience to be able to determine which algorithm to use and understand why.
IBM offers different levels of support but in my experience being and IBM shop helps to get direct support from more knowledgeable technicians from IBM. Not sure on the cost of having this kind of support, but I know there's also general support and community blogs and websites on the Internet make it easy to troubleshoot issues whenever there's need for that.
No, it wasn’t my decision to use such an ETL product. I’m just the administrator at this point. I’ve heard there are other products there that are even on cloud support. That is much easier to use, more agile, and user-friendly. That doesn’t have that barrier from user to administrator to the developer standpoint.
Compared to similar user-friendly data integration systems like Integrate.io, Stitch, or Azure, Skyvia still wins in the number of connectors and pricing policy. Skyvia is a tool for companies like ours, starving for simple but, at the same time, robust and cost-effective data transfer solutions. It doesn't require additional knowledge for implementation and usage because it's no code. We'd recommend Skyvia as the best solution for non-technical staff.
Not directly related to ROI or cost figures. Only comment here is that IBM tools tend to be more costly than average ETL tools, but it depends on if the company is an IBM shop.
One positive aspect is the company has had not a need to switch ETL tool for years.
Upgrading to newer versions of the tool brings flexibility in the tool and up-to-date features in relation to other applications.
The core of our business lies in analyzing data from various sources, and while ETL itself is not our primary focus, it is a necessary process to achieve our goals. Thanks to Skyvia, we are able to streamline the ETL process at a reasonable price, allowing us to dedicate our efforts to data analysis without the burden of ETL complexities.