dbt vs. IBM InfoSphere Information Server

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
dbt
Score 8.9 out of 10
N/A
dbt is an SQL development environment, developed by Fishtown Analytics, now known as dbt Labs. The vendor states that with dbt, analysts take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. dbt Core is distributed under the Apache 2.0 license, and paid Teams and Enterprise editions are available.
$0
per month per seat
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
dbtIBM InfoSphere Information Server
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
dbtIBM InfoSphere Information Server
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
dbtIBM InfoSphere Information Server
Features
dbtIBM InfoSphere Information Server
Data Transformations
Comparison of Data Transformations features of Product A and Product B
dbt
9.7
8 Ratings
19% above category average
IBM InfoSphere Information Server
9.6
4 Ratings
18% above category average
Simple transformations10.08 Ratings10.04 Ratings
Complex transformations9.38 Ratings9.24 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
dbt
9.1
8 Ratings
15% above category average
IBM InfoSphere Information Server
8.0
4 Ratings
2% above category average
Data model creation9.78 Ratings8.72 Ratings
Metadata management8.78 Ratings7.74 Ratings
Business rules and workflow9.08 Ratings8.44 Ratings
Collaboration10.06 Ratings8.04 Ratings
Testing and debugging8.08 Ratings7.14 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
dbt
-
Ratings
IBM InfoSphere Information Server
8.7
4 Ratings
6% above category average
Connect to traditional data sources00 Ratings9.94 Ratings
Connecto to Big Data and NoSQL00 Ratings7.54 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
dbt
-
Ratings
IBM InfoSphere Information Server
9.7
4 Ratings
21% above category average
Integration with data quality tools00 Ratings10.04 Ratings
Integration with MDM tools00 Ratings9.53 Ratings
Best Alternatives
dbtIBM InfoSphere Information Server
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
dbt
dbt
Score 8.9 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
dbtIBM InfoSphere Information Server
Likelihood to Recommend
10.0
(10 ratings)
8.9
(5 ratings)
Likelihood to Renew
-
(0 ratings)
8.0
(1 ratings)
Usability
9.7
(3 ratings)
-
(0 ratings)
User Testimonials
dbtIBM InfoSphere Information Server
Likelihood to Recommend
dbt Labs
The prerequisite is that you have a supported database/data warehouse and have already found a way to ingest your raw data. Then dbt is very well suited to manage your transformation logic if the people using it are familiar with SQL. If you want to benefit from bringing engineering practices to data, dbt is a great fit. It can bring CI/CD practices, version control, automated testing, documentation generation, etc. It is not so well suited if the people managing the transformation logic do not like to code (in SQL) but prefer graphical user interfaces.
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IBM
Information Server is extremely useful to replace manual developments that require a lot of coding effort. It significantly increases the productivity of the initial development and the future maintenance of the processes since it has a visual development environment with self-documentation.
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Pros
dbt Labs
  • dbt supports version control through GIT, this allows teams to collaborate and track the data transformation logic.
  • dbt allows us to build data models which helps to break complex transformation logic into simple and smaller logic.
  • dbt is completely based on SQL which allows data analyst and data engineers to build the transformation logic.
  • dbt can be easily integrated with snowflake.
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IBM
  • IIS best for ETL ,not ELT , and many and diffrent source systems.
  • It also can process big data , unstuctured data
  • It is not only DWH , you can use infosphere for analys and see the bigger architecture of your OLTP systems
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Cons
dbt Labs
  • Field-level lineage (currently at table level)
  • Documentation inheritance - if a field is documented the downstream field of the same name could inherit the doc info
  • Adding python model support (in beta now)
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IBM
  • I would be nice to have a new web development environment for DataStage.
  • Connectivity Packs such as Pack for SAP Application are a little pricey.
  • It is confusing for new developers the possibility of developing jobs using different execution engines such as Parallel or Server.
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Likelihood to Renew
dbt Labs
No answers on this topic
IBM
  • Scale of implementation
  • IBM techsupport
Read full review
Usability
dbt Labs
dbt is very easy to use. Basically if you can write SQL, you will be able to use dbt to get what you need done. Of course more advanced users with more technical skills can do more things.
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IBM
No answers on this topic
Alternatives Considered
dbt Labs
I actually don't know what the alternative to dbt is. I'm sure one must exist other than more 'roll your own' options like Apache Airflow, say, bu tin terms of super easy managed/cloud data transforms, dbt really does seem to be THE tool to use. It's $50/month per dev, BUT there's a FREE version for 1 dev seat with no read-only access for anyone else, so you can always start with that and then buy yourself a seat later.
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IBM
DataStage is more robust and stable than ODI The ability to perform complex transformations or implement business rules is much more developed in DS
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Return on Investment
dbt Labs
  • Simplified our BI layer for faster load times
  • Increased the quality of data reaching our end users
  • Makes complex transformations manageable
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IBM
  • Productivity of the development of integration processes.
  • Better documentation and governance.
  • Reduce training costs of various technologies.
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ScreenShots