TrustRadius

Dataddo vs. IBM InfoSphere Information Server

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Dataddo
Score 0.0 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
IBM InfoSphere Information Server
Score 8.0 out of 10
N/A
IBM InfoSphere Information Server is a data integration platform used to understand, cleanse, monitor and transform data. The offerings provide massively parallel processing (MPP) capabilities.N/A
Pricing
DataddoIBM InfoSphere Information Server
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 InfoSphere Information Server
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
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 InfoSphere Information Server
Features
DataddoIBM InfoSphere Information Server
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Dataddo
-
Ratings
IBM InfoSphere Information Server
10.0
Ratings
18% above category average
Connect to traditional data sources00 Ratings10.00 Ratings
Connecto to Big Data and NoSQL00 Ratings10.00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Dataddo
-
Ratings
IBM InfoSphere Information Server
10.0
Ratings
20% above category average
Simple transformations00 Ratings10.00 Ratings
Complex transformations00 Ratings10.00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Dataddo
-
Ratings
IBM InfoSphere Information Server
9.7
Ratings
20% above category average
Data model creation00 Ratings10.00 Ratings
Metadata management00 Ratings10.00 Ratings
Business rules and workflow00 Ratings10.00 Ratings
Collaboration00 Ratings10.00 Ratings
Testing and debugging00 Ratings9.00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Dataddo
-
Ratings
IBM InfoSphere Information Server
9.5
Ratings
16% above category average
Integration with data quality tools00 Ratings10.00 Ratings
Integration with MDM tools00 Ratings9.00 Ratings
User Ratings
DataddoIBM InfoSphere Information Server
Likelihood to Recommend
-
(0 ratings)
10.0
(0 ratings)
Likelihood to Renew
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
DataddoIBM InfoSphere Information Server
Likelihood to Recommend
No answers on this topic
You can use infosphere: -If you have multiple targets and source systems and they are different than each other. -If your infostructure is so big and unplaned well so you can't find what you want to see. -If your databases not so strong to process your data
Gunes INAL | TrustRadius Reviewer
Gunes INAL
Data Warehouse Consultant
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Pros
No answers on this topic
  • It is very strong to make transformations/data derivations
  • It is very easy to connect to various external data sources. It has an interface (stages) for each connection that simplifies the task
  • It is a stable platform. And that parallelism helps make it fast for loading, if the process is well designed
Verified User
Anonymous
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Cons
No answers on this topic
  • Lack of a strong web development environment.
  • Metadata propagation in Jobs is somewhat complex.
  • The possibility to develop jobs in Parallel and/or Server Engines is confusing.
Karina Gonzalez | TrustRadius Reviewer
Karina Gonzalez
Manager Data Management
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Likelihood to Renew
No answers on this topic
  • Scale of implementation
  • IBM techsupport
Verified User
Anonymous
Read full review
Alternatives Considered
No answers on this topic
I particularly believe that Information Server, especially DataStage, is superior in many aspects to the Oracle Data Integrator tool. Several market analysts such as Gartner and / or Forrester better position DataStage on the Oracle solution.
Karina Gonzalez | TrustRadius Reviewer
Karina Gonzalez
Manager Data Management
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Return on Investment
No answers on this topic
  • Information Server can positively impact the costs of companies by increasing the productivity of development and therefore reduce their time and costs. It is estimated that DataStage can increase a developer's productivity by 40% on average.
  • Better data governance
  • Improve data quality and reduce bad data impacts
Gonzalo Angeleri | TrustRadius Reviewer
Gonzalo Angeleri
Regional Product & Solution Architect Manager
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.