Boomi vs. Fivetran

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Boomi
Score 8.9 out of 10
N/A
Boomi is a cloud-based, on-premise, or hybrid integration platform. It offers a low-code/no-code interface with the capacity for API and EDI connections for integrating with external organizations and systems, as well as compliance with data protection regulations.
$550
per month
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
Pricing
BoomiFivetran
Editions & Modules
Boomi
$550
per month
Starter
$0.01
per credit
Standard
$0.01
per credit
Enterprise
$0.01
per credit
Offerings
Pricing Offerings
BoomiFivetran
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
BoomiFivetran
Features
BoomiFivetran
Cloud Data Integration
Comparison of Cloud Data Integration features of Product A and Product B
Boomi
8.0
Ratings
0% below category average
Fivetran
-
Ratings
Pre-built connectors10.00 Ratings00 Ratings
Connector modification5.00 Ratings00 Ratings
Support for real-time and batch integration10.00 Ratings00 Ratings
Data quality services10.00 Ratings00 Ratings
Data security features5.00 Ratings00 Ratings
Monitoring console8.00 Ratings00 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Boomi
-
Ratings
Fivetran
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
Boomi
-
Ratings
Fivetran
7.5
Ratings
8% below category average
Simple transformations00 Ratings7.50 Ratings
Complex transformations00 Ratings7.40 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Boomi
-
Ratings
Fivetran
6.2
Ratings
25% below category average
Data model creation00 Ratings2.00 Ratings
Metadata management00 Ratings4.00 Ratings
Business rules and workflow00 Ratings8.00 Ratings
Collaboration00 Ratings7.80 Ratings
Testing and debugging00 Ratings9.00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Boomi
-
Ratings
Fivetran
8.3
Ratings
2% above category average
Integration with data quality tools00 Ratings8.30 Ratings
Integration with MDM tools00 Ratings8.30 Ratings
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Score 9.5 out of 10
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Score 8.0 out of 10
Enterprises
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Score 9.5 out of 10
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All AlternativesView all alternativesView all alternatives
User Ratings
BoomiFivetran
Likelihood to Recommend
9.0
(0 ratings)
8.2
(0 ratings)
Likelihood to Renew
10.0
(0 ratings)
-
(0 ratings)
Usability
8.0
(0 ratings)
9.0
(0 ratings)
Performance
7.9
(0 ratings)
8.0
(0 ratings)
Support Rating
6.0
(0 ratings)
-
(0 ratings)
User Testimonials
BoomiFivetran
Likelihood to Recommend
Dell Boomi is well-suited as a middleware to talk between systems. I am a personal fan of Dell's products and I enjoy this service. Dell Boomi is very easy to use, even to the less technically-inclined user. It is less appropriate to use in one system alone, but users would still find it functional in one system alone because it helps manage the system's metadata and allows that system to be integrated with other systems in the future.
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[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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Pros
  • Pre-built connectors to almost anything which greatly reduce time to release of your integration needs.
  • Easy to use development platform with drag&drop features. Non-technical people could build simple integration processes in no time.
  • Great user community where you can get quick help if needed. Boomi people hang around there a lot.
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  • 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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Cons
  • More from a development perspective. It is always difficult to use the properties features. It takes a while to understand how the data/variables can be used across an integration.
  • Dell Boomi should also invest more on API Management and not just seen as a ETL,ESB tool.
  • Should roll out features more often based on users reviews.
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  • 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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Likelihood to Renew
Dell Boomi has provided us with the ability to connect our campus together using our various existing platforms. There are many supported features and have yet to run into something that we cannot do. Its user interface is very intuitive which would allow users to begin developing fairly easily. There is a myriad of resources available
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No answers on this topic
Usability
First of all, as a service (cloud service), we don't need to care about server maintenance any more, no worries about incorrect configurations, about down time. Second, for maintaining, we don't need a large team to do it. And of course, using Dell Boomi instead of manual transaction could help us to avoid people mistake while inputting data or doing transactions.
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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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Performance
I would rate Dell Boomi as highly performant. We have used it for 4+ years and have not had any major issues with availability or speed. We also have not observed performance degradation when connecting it with other software solutions.
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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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Support Rating
Boomi support was responsive and knowledgable, however being a closed cloud service, it doesn't have good community support. We found the learning curve to be steep and there aren't avenues like google, forums, or blogs that provide community driven insight into the product or how to go about designing solutions using the tool
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No answers on this topic
Alternatives Considered
MuleSoft and Boomi are built on totally different frameworks. Mulesoft is an API-led network whereas Boomi is an ETL middleware approach. In easy words, Mulesoft can connect to several apps and business units, can create and reuse multiple components. Boomi offers only on-premise and on-cloud integration solutions whereas MuleSoft is capable of providing on-premise, on-cloud as well as hybrid solutions. We can say that MuleSoft is much more flexible and offers multiple integration solutions.
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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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Return on Investment
  • ROI was flat. Coding directly in apps we were knowledgable in would have been faster, but maintenance higher.
  • It brought good process to the integration team that was new, however I wouldn't say it was a huge gain monetarily. It is a valid path out of many paths for integration, but doesn't rule them all.
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  • 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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