Devart Excel Add-ins allow you to use Excel capabilities to import, process, and analyze data from cloud applications and relational databases. The Excel Add-ins also allow users to make data changes and then save those changes back to the data source they were originally imported from.
$399.95
one-time fee
IBM DataStage
Score 7.8 out of 10
N/A
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.
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Pricing
Devart Excel Add-ins
IBM DataStage
Editions & Modules
Excel Add-in Database Pack
$399.95
one-time fee
Excel Add-in Cloud Pack
$499.95
one-time fee
Excel Add-in Universal Pack
$599.95
one-time fee
No answers on this topic
Offerings
Pricing Offerings
Devart Excel Add-ins
IBM DataStage
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Purchases include a perpetual license and 1 year of subscription which includes the product updates and premium support.
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More Pricing Information
Community Pulse
Devart Excel Add-ins
IBM DataStage
Features
Devart Excel Add-ins
IBM DataStage
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Devart Excel Add-ins
8.5
1 Ratings
2% above category average
IBM DataStage
7.8
11 Ratings
6% below category average
Connect to traditional data sources
8.01 Ratings
8.011 Ratings
Connecto to Big Data and NoSQL
9.01 Ratings
7.710 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Devart Excel Add-ins
7.0
1 Ratings
14% below category average
IBM DataStage
7.7
11 Ratings
5% below category average
Simple transformations
8.01 Ratings
8.011 Ratings
Complex transformations
6.01 Ratings
7.311 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Devart Excel Add-ins
8.6
1 Ratings
9% above category average
IBM DataStage
7.2
11 Ratings
9% below category average
Data model creation
10.01 Ratings
7.08 Ratings
Metadata management
9.01 Ratings
5.010 Ratings
Business rules and workflow
8.01 Ratings
7.310 Ratings
Collaboration
9.01 Ratings
7.311 Ratings
Testing and debugging
7.01 Ratings
6.711 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
DataStage is somewhat outdated for an ETL. I guess that's what makes it a bit lagged behind its competitors. It can be used for data processing, sure, but its performance seems to be lagging behind or quite slow given the server it is running from. I won’t depend on this application if it's handling a lot of mission-critical banking and business data.
It has room for improvement in terms of security and making it possible for large organizations like us to use it in a more secure way with integrating with our in-house security systems.
Pricing could be reduced further for it to be adopted world-wide.
it isn't foolproof. Excel has no means of checking for human error during data entry, which means that the wrong information can skew all the results - sometimes severe.
Users unfamiliar with Excel syntax may also find entering calculations and calling up other functions a bit frustrating until they get a solid understanding.
Technical support is a key area IBM should improve for this product. Sometimes our case is assigned to a support engineer and he has no idea of the product or services.
Provide custom reports for datastage jobs and performance such as job history reports, warning messages or error messages.
Make it fully compatible with Oracle and users can direct use of Oracle ODBC drivers instead of Data Direct driver. Same for SQL server.
It automated the whole reporting and excel. Our team can generate pivot, dashboards and multiple other reports in various formats and update them with one click. My Sales team need to update more then 1500 leads status on daily basis. By using this tool now they can do this in few minutes.
Because it is robust, and it is being continuously improved. DS is one of the most used and recognized tools in the market. Large companies have implemented it in the first instance to develop their DW, but finding the advantages it has, they could use it for other types of projects such as migrations, application feeding, etc.
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.
Microsoft Excel is the most used tool in the software universe. As such, asking Microsoft Excel to be the tool used post data acquisition makes a ton of sense. Almost everyone we hire has some idea on how to use this tool, which decreases the time spend training new employees.
With effective capabilities and easy to manipulate the features and easy to produce accurate data analytics and the Cloud services Automation, this IBM platform is more reliable and easy to document management. The features on this platform are equipped with excellent big data management and easy to provide accurate data analytics.
It’s hard to say at this point, it delivers, but not quite as I expected. It takes a lot of resources to manage and sort this out (manpower, financial).
Definitely, I don’t have the exact numbers, but given the data it processes, it is A LOT. So props to the developer of this application.
Again, based on my experience, I’d choose other ETL apps if there is one that's more user-friendly.