TrustRadius

Fivetran vs. Mage

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
Mage
Score 8.6 out of 10
N/A
Mage is a tool that helps product developers use AI and their data to make predictions. Use cases might be predictions for churn prevention, product recommendations, customer lifetime value and forecasting sales.
$0
per user
Pricing
FivetranMage
Editions & Modules
Starter
$0.01
per credit
Standard
$0.01
per credit
Enterprise
$0.01
per credit
Hobby
$0
per user
Pro
$2,000
per month per user
Offerings
Pricing Offerings
FivetranMage
Free Trial
YesYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalOptional
Additional Details—Contact vendor for pricing information.
More Pricing Information
Community Pulse
FivetranMage
Considered Both Products
Fivetran
Verified User
Anonymous
Chose Fivetran
Matillion requires a lot more initial setup effort and the resulting schemas are also much more "raw" data than the nicely cleaned schemas which Fivetran provides. Therefore it would also require more (manual) post-processing efforts compared to Fivetran. So the savings on time …
Verified User
Anonymous
Chose Fivetran
Fivetran is much easier to set up and maintain. Airbyte still had a degree of technical knowledge requirement that we didn't have the resources to commit. Fivetran allowed a non-technical employee to establish pipelines and immediately start using the data without having to …
Uddipan Mukherjee | TrustRadius Reviewer
Uddipan Mukherjee
Big Data Specialist
Chose Fivetran
Fivetran is a powerful data replication tool that supported use cases for organization-wide data platforms.
Verified User
Anonymous
Chose Fivetran
We never seriously considered using anything else. Our data engineers had used Fivetran extensively in previous roles so when it came time to make a decision, there wasn't much of a process. They gladly signed the contract with Fivetran pretty quickly.
Sudarshan Kothari | TrustRadius Reviewer
Sudarshan Kothari
Senior Data Scientist
Chose Fivetran
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 …
Verified User
Anonymous
Chose Fivetran
Fivetran is more intuitive and easier to use than code-based ETL/ELT tools. The data modelling Fivetran performs makes the data more usable more quickly. Fivetran's dbt support and integration is unique.
Scott Laronge | TrustRadius Reviewer
Scott Laronge
Head of Data Science
Chose Fivetran
Honestly, we haven't done much investigation in a while, it just works 360 days of the year. The other five days there may be a hiccup that will throw us a day off of data, but it gets caught up in the end.
Mage
Verified User
Anonymous
Chose Mage
Mage was the easiest in terms of ease of implementation due to its no-code functionality. However, Mage doesn't have a whole ecosystem like AWS and slightly falls behind there.
Features
FivetranMage
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Fivetran
10.0
Ratings
18% above category average
Mage
-
Ratings
Connect to traditional data sources10.00 Ratings00 Ratings
Connecto to Big Data and NoSQL10.00 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Fivetran
7.4
Ratings
10% below category average
Mage
-
Ratings
Simple transformations7.50 Ratings00 Ratings
Complex transformations7.30 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Fivetran
6.2
Ratings
25% below category average
Mage
-
Ratings
Data model creation2.00 Ratings00 Ratings
Metadata management4.00 Ratings00 Ratings
Business rules and workflow8.00 Ratings00 Ratings
Collaboration7.80 Ratings00 Ratings
Testing and debugging9.00 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Fivetran
8.3
Ratings
2% above category average
Mage
-
Ratings
Integration with data quality tools8.30 Ratings00 Ratings
Integration with MDM tools8.30 Ratings00 Ratings
Best Alternatives
FivetranMage
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
Astera Data Pipeline Builder (Centerprise)
Astera Data Pipeline Builder (Centerprise)
Score 8.7 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Control-M
Control-M
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
FivetranMage
Likelihood to Recommend
8.2
(0 ratings)
8.5
(0 ratings)
Usability
9.0
(0 ratings)
-
(0 ratings)
Performance
8.0
(0 ratings)
-
(0 ratings)
User Testimonials
FivetranMage
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.
Verified User
Anonymous
Read full review
Mage is well-suited for probability score for uptake of every product is calculated for customers using ML/ Regression models, choosing customers for a product/ Top products for a customer, based on the requirement and Identifying popular product combinations using association rules from Market Basket Analysis (or affinity Analysis)\Bundle these products as combos.
Verified User
Anonymous
Read full review
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
Verified User
Anonymous
Read full review
  • Ranking algorithms.
  • Cloud-based tool.
  • Increase user engagement.
Verified User
Anonymous
Read full review
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
Verified User
Anonymous
Read full review
  • Acquisition Contribution.
  • Business Intelligence Reporting.
  • Data Destinations.
Verified User
Anonymous
Read full review
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.
Verified User
Anonymous
Read full review
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.
Scott Laronge | TrustRadius Reviewer
Scott Laronge
Head of Data Science
Read full review
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.
Sudarshan Kothari | TrustRadius Reviewer
Sudarshan Kothari
Senior Data Scientist
Read full review
Mage was the easiest in terms of ease of implementation due to its no-code functionality. However, Mage doesn't have a whole ecosystem like AWS and slightly falls behind there.
Verified User
Anonymous
Read full review
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
Verified User
Anonymous
Read full review
  • Business Understanding.
  • Data Acquisition and Understanding.
  • Data Modeling and Evaluation.
Verified User
Anonymous
Read full review
ScreenShots