Fivetran vs. IBM InfoSphere Information Server

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Fivetran
Score 8.5 out of 10
N/A
Fivetran replicates applications, databases, events and files into a high-performance data warehouse, after a five minute setup. The vendor says their standardized cloud pipelines are fully managed and zero-maintenance. The vendor says Fivetran began with a realization: For modern companies using cloud-based software and storage, traditional ETL tools badly underperformed, and the complicated configurations they required often led to project failures. To streamline and accelerate…
$0.01
per credit
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
FivetranIBM InfoSphere Information Server
Editions & Modules
Starter
$0.01
per credit
Standard
$0.01
per credit
Enterprise
$0.01
per credit
No answers on this topic
Offerings
Pricing Offerings
FivetranIBM InfoSphere Information Server
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
FivetranIBM InfoSphere Information Server
Features
FivetranIBM InfoSphere Information Server
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Fivetran
10.0
Ratings
18% above category average
IBM InfoSphere Information Server
10.0
Ratings
18% above category average
Connect to traditional data sources10.00 Ratings10.00 Ratings
Connecto to Big Data and NoSQL10.00 Ratings10.00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Fivetran
7.5
Ratings
8% below category average
IBM InfoSphere Information Server
10.0
Ratings
20% above category average
Simple transformations7.50 Ratings10.00 Ratings
Complex transformations7.40 Ratings10.00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Fivetran
6.2
Ratings
25% below category average
IBM InfoSphere Information Server
9.7
Ratings
19% above category average
Data model creation2.00 Ratings10.00 Ratings
Metadata management4.00 Ratings10.00 Ratings
Business rules and workflow8.00 Ratings10.00 Ratings
Collaboration7.80 Ratings10.00 Ratings
Testing and debugging9.00 Ratings9.00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Fivetran
8.3
Ratings
2% above category average
IBM InfoSphere Information Server
9.5
Ratings
16% above category average
Integration with data quality tools8.30 Ratings10.00 Ratings
Integration with MDM tools8.30 Ratings9.00 Ratings
Best Alternatives
FivetranIBM InfoSphere Information Server
Small Businesses
Skyvia
Skyvia
Score 9.9 out of 10
Skyvia
Skyvia
Score 9.9 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
dbt
dbt
Score 9.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
FivetranIBM InfoSphere Information Server
Likelihood to Recommend
8.2
(0 ratings)
10.0
(0 ratings)
Likelihood to Renew
-
(0 ratings)
8.0
(0 ratings)
Usability
9.0
(0 ratings)
-
(0 ratings)
Performance
8.0
(0 ratings)
-
(0 ratings)
User Testimonials
FivetranIBM InfoSphere Information Server
Likelihood to Recommend
[Fivetran is] very well suited when you are using popular and common data sources, such as the major ad platforms, and SaaS platforms such as Salesforce. If the majority of your data sources are custom internal applications or databases, may be less value as you aren't leveraging the delivered connectors.
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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
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Pros
  • Simplified ETL from a wide range of data sources
  • Stable and painless data pipeline
  • Granular control over what parts of the data source are loaded
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  • 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
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Cons
  • Doesn't include support for a Kinesis stream as a data source so couldn't be used for some use cases under consideration
  • Doesn't support the use of "BEFORE DELETE" triggers
  • No support for serverless Aurora
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  • 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.
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Likelihood to Renew
No answers on this topic
  • Scale of implementation
  • IBM techsupport
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Usability
Very easy and intuitive to setup and maintain as there usually are not that many options. Very well documented (e.g. how to setup each connector, how the schema looks like, any specific features of this connector etc.). Also the operation is intuitive, e.g. you have status pages, log pages, configuration pages etc. for each connector.
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No answers on this topic
Performance
It runs pretty well and gets our data from point A to point cluster quickly enough. Honestly, it's not something I think about unless it breaks and that's pretty rare.
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No answers on this topic
Alternatives Considered
Fivetran came well with the connectors' availability and updates with the source changes. We had an idea on data requirements in our case which helped us to work out on cost implication and take a decision for Fivetran as a data provider for our organization. These were 2 places where Fivetran out-performed, other vendors.
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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.
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Return on Investment
  • Saved a lot of manual development days (unable to quantify)
  • Accelerated the time to add a new source to the data warehouse a lot
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  • 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
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ScreenShots