Dataddo vs. IBM DataStage

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Dataddo
Score 8.0 out of 10
Mid-Size Companies (51-1,000 employees)
Dataddo is a fully-managed, no-code data integration platform that connects cloud-based applications and dashboarding tools, data warehouses, and data lakes. It offers 3 main products: - Data to Dashboards, which lets users send data from online sources straight to dashboarding apps like Tableau, Power BI, and Google Data Studio for insights in record time. A free version is available for this product. - Data Anywhere, which enables users to send data from any A to any…
$0
per month
IBM DataStage
Score 7.7 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.N/A
Pricing
DataddoIBM DataStage
Editions & Modules
Free
$0
Data to Dashboards
$99
per month
Data Anywhere
$99
per month
Headless Data Integration
Custom
per year
No answers on this topic
Offerings
Pricing Offerings
DataddoIBM DataStage
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsData to Dashboards and Data Anywhere are both priced based on bundles of flows that can be billed monthly, or yearly for a discount. Data to Dashboards starts at $99 (billed yearly) for up to 10 data flows from any source to any dashboarding tool or Google Sheets. Data Anywhere starts at $99 (billed yearly) for up to 3 data flows from any A to any B—from apps to warehouses or dashboards (ETL, end to end), between warehouses (ETL), and from warehouses back into apps (reverse ETL). Headless Data Integration allows enterprises to build their own data products on top of the unified Dataddo API and get all integrations in one, with custom pricing.
More Pricing Information
Community Pulse
DataddoIBM DataStage
Features
DataddoIBM DataStage
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Dataddo
-
Ratings
IBM DataStage
8.2
11 Ratings
0% below category average
Connect to traditional data sources00 Ratings8.411 Ratings
Connecto to Big Data and NoSQL00 Ratings7.910 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Dataddo
-
Ratings
IBM DataStage
7.7
11 Ratings
4% below category average
Simple transformations00 Ratings8.011 Ratings
Complex transformations00 Ratings7.511 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Dataddo
-
Ratings
IBM DataStage
7.0
11 Ratings
11% below category average
Data model creation00 Ratings6.68 Ratings
Metadata management00 Ratings5.010 Ratings
Business rules and workflow00 Ratings7.110 Ratings
Collaboration00 Ratings7.111 Ratings
Testing and debugging00 Ratings6.511 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Dataddo
-
Ratings
IBM DataStage
5.5
10 Ratings
36% below category average
Integration with data quality tools00 Ratings5.510 Ratings
Integration with MDM tools00 Ratings5.510 Ratings
Best Alternatives
DataddoIBM DataStage
Small Businesses
Skyvia
Skyvia
Score 10.0 out of 10
Skyvia
Skyvia
Score 10.0 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DataddoIBM DataStage
Likelihood to Recommend
-
(0 ratings)
6.9
(11 ratings)
Usability
-
(0 ratings)
8.0
(4 ratings)
Performance
-
(0 ratings)
9.0
(1 ratings)
Support Rating
-
(0 ratings)
9.6
(3 ratings)
User Testimonials
DataddoIBM DataStage
Likelihood to Recommend
Dataddo
No answers on this topic
IBM
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.
Read full review
Pros
Dataddo
No answers on this topic
IBM
  • Connect to multiple types of data-sources including Oracle, Teradata, Snowflake, SQl Server.
  • Powerful tool to load large volumes of data.
  • Transformation stages allow us to reduce the amount of code needed to create ETL scripts.
  • Allow us to synchronize and refresh data as much as needed.
Read full review
Cons
Dataddo
No answers on this topic
IBM
  • 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.
Read full review
Usability
Dataddo
No answers on this topic
IBM
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.
Read full review
Performance
Dataddo
No answers on this topic
IBM
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.
Read full review
Support Rating
Dataddo
No answers on this topic
IBM
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.
Read full review
Alternatives Considered
Dataddo
No answers on this topic
IBM
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.
Read full review
Return on Investment
Dataddo
No answers on this topic
IBM
  • 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.
Read full review
ScreenShots

Dataddo Screenshots

Screenshot of Connect data from any online source. Custom connectors or metrics are available upon request.Screenshot of Manage data flows on one page.Screenshot of Select services, such as HubSpot, Facebook, Google Ads, Stripe, and select a dataset to get the metrics and attributes needed.Screenshot of Choose where data should go, from data warehouses to dashboarding tools.Screenshot of Complete a data flow by connecting a source to a destination and get data flowing automatically at regular intervals.