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
Matillion
Score 7.8 out of 10
N/A
Matillion is a data pipeline platform used to build and manage pipelines. Matillion empowers data teams with no-code and AI capabilities to be more productive, integrating data wherever it lives and delivering data that’s ready for AI and analytics.
$2.50
Pay as you go per user
Pricing
Boomi
Matillion
Editions & Modules
Boomi
$550
per month
Developer: For Individuals
$2.50/credit
Pay as you go per user
Basic
$1000
per month 500 prepaid credits (additional credits: $2.18/credit)
Advanced
$2000
per month 750 prepaid credits (additional credits: $2.73/credit)
Enterprise
Request a Quote
Offerings
Pricing Offerings
Boomi
Matillion
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
Billed directly via cloud marketplace on an hourly basis, with annual subscriptions available depending on the customer's cloud data warehouse provider.
Boomi is one of the best integration platforms out there, but it still has its niche. It is suitable for most integration scenarios especially those that doesn't require very high throughput. The runtime could be hosted on-prem and in the cloud or even in a hybrid mode, which …
Compared to rest of the solutions, Boomi is centered around solving this exact problem not in just the landscape of SAP but many other backends. this puts them in place of very experienced in term of integration in wide range of scenarios. they most probably have encountered …
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 …
We decided to go with Dell Boomi because another department in our company was already using the software. We did not research competitor applications to use as our business solution. Dell Boomi was very easy and quick to set up, so once we decided to use Dell Boomi for systems …
As I was new to Integration, I needed to explore new middleware like Dell Boomi [to compare to] the first middleware used by our organization. But [so far in my experience] I have been so excited to use this integration tool for automation. But this will be a different …
Mulesoft was evaluated by [and] definitely was not the right fit for the organization considering the type of integrations which were built in the enterprise historically. Dell Boomi on the other hand was more graphical and was more easy to use and is the best ipaas at the …
We evaluated Boomi with Mulesoft and Celigo. Boomi was recommended by Netsuite and it was the best all around solution that allowed for custom coding, but had drag/drop solution design. Mulesoft was much more technical and robust, but required a significant amount of coding …
I'm not aware of major competitors to Dell Boomi. Dell Boomi feels like the de-facto standard that my Finance and IT teams have used for several years. We are happy with it.
I did not select Boomi. It is the tool used in the company. In my previous work I worked with InfoSphere DataStage and QualityStage, and I can say that these tools are much more powerful when making transformations, alerts, connect to different sources. Boomi is good at …
We have used Oracle SOA since 2010 for our custom on-premise applications integration purposes. To some extent we were successful but overall we did not manage to integrate and build other than several business processes with it. The main reasons were: - the IT …
I would choose Boomi every day for real-time integrations. I really enjoy using it. I would struggle to recommend using it for a batch application unless you really had to. SSIS seems like it would be a better choice if doing batch jobs but the learning curve is much higher …
We have evaluated Mulesoft as well before going with Dell Boomi. The only difference is the Complete Cloud architecture provided by Boomi and also the ease of using the software, where you don't need to install anything on a developer machine or testing machine or any quality …
Dell Boomi - no installation. Start immediate coding - it's the best thing which I like. Now all PaaS providers are doing same. Dell Boomi entered the game first.
Even though Azuqua may be a bit more user friendly, Boomi can handle many more situations. Azuqua couldn't handle the majority of the processes we wanted to perform.
I have used other integration tools as well (with 10 years of integration experience). Eventually, I liked Boomi for its simplicity and easy graphical representation, development, installation, versioning and deployment. Testing Boomi processes is another plus because it is …
Sr Integration Engineer - Dual Certified in Dell Boomi Developer 1 & 2, and Actian DataConnect
Chose Boomi
Our team has used Actian DataConnect since the Mid 1990's. It was formerly known as Data Junction and then Pervasive Data Integrator. We looked at Boomi as an additional tool to aid in our Integrations. We did compare it to Informatica and thought it was a better fit for …
Matillion is cheaper and we really like the customer support of Matillion as well as lerning materials provided by Matillion were far better. They also made connectors for us for free while others were charging us for it.
Matillion gives great ability to connect to variety of sources and bring data into cloud data warehouse using connector based approach with which we can build complex transformation jobs which can do automated data fetches from your sources.
Matillion has better capabilities and better built-in elements that saves your time and efforts. also the connectivity across multiple data warehousing tool is better in Matillion. even the performance of the pipeline and the time required to create a particular pipeline is …
My manager selected Million based on his previous work experience. He believes it is easy to use and maintain, cheaper than competitors, and suitable for our use case.
The only other ETL tool I've used was SSIS. At first I thought Matillion seemed "kiddish" after using the polished Microsoft tool but now I think Matillion is easier and can do much more as it has so many built-in connectors etc. We selected Matillion at our job because of …
n/a -- joined the team after they already were established in Matillion. Have had brief looks at other ETL products but found nothing compelling enough to suggest a change.
We selected Matillion primarily because of it's ability to connect to numerous data sources and easily create transformation jobs. While FiveTran does a better job managing and examining deltas, it is not easy to use and is very non user friendly. SSIS was not a good fit for …
Fivetran offers a managed service and pre-configured schemas/models for data loading, which means much less administrative work for initial setup and ongoing maintenance. But it comes at a much higher price tag. So, knowing where your sweet spot is in the build vs. buy spectrum …
We decided to move forward with Matillion because it was the best tool among tools that support both ingesting data from a source system to a target database and running transformation workflows on it afterwards. Fivetran and Airbyte only support data ingestion and we had our …
Cost and ease of use were better for our purposes. Matillion distinguishes itself from Fivetran and Snaplogic through its user-friendly design, no-code interface, in-depth transformation capabilities, allowing for complex data manipulations directly within the platform, …
The Matillion selection was not my decision. But I think it's a good enough choice. It is especially valuable that the team can learn Matillion easily and that the project can be understood by the entire team with the visual environment instead of complex ETLs.
Both the Databricks platform and Dbt Cloud are more powerful from the point of view of the development lifecycle and data use cases covered. They are also more complex and require specialized data engineering skills to be used. Matillion has a lower barrier of entry for small …
Removes most of the complexity around setting up and preparing things. If you could describe with words what needs to be done to move data from A to B, the implementation in Matillion would probably be the most similar in terms of simplicity of understanding what you are doing …
Matillion is a good tool for integrating multiple clouds. Informatica has been a market standard for many years, it provides multiple capabilities for data governance, data quality, etc. However, Informatica is pretty expensive compared to Matillion. Also, Matillion is more …
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.
Great: Need to query simpler APIs, or utilize well known services such as GSheets etc.? Matillion has got some of the best and easiest to use connectors out there. Not so great: Do you need have a competent CI/CD flow that you will be able to update / compare from Matillion as well as other sources at the same time? Good luck, you will need to be extra careful, as you might have to have a deeper dive into your servers Terminal each time you have a git conflict.
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.
Static and monolithic, it will show its limits when running multiple concurrent jobs.
Github and versioning implementation is messy and broken. Don't use it.
There's not way to see/query the system resources, just wait for a server to crash due to out of memory. An admin panel would be appreciated + some env variables with updated info.
API implementation is cumbersome and limited.
There's no concept of hub and worker engine, everything happens of the same server (designing workflows and executing them). Having separate light ETL engines to run job could be better. (sort of docker/kubernetes/lambda functions).
Handling of variables is limited especially for returned values from sub components.
Some components could return more metadata at the end of their execution instead of the standard one.
Billing is badly designed not taking into account that the server is hosted by the client. Expensive.
We had several issue with migration where starting a new instance was required and then migrating the content. It was painful and time consuming also have to deal with support and engineering team on Matillion side.
CDC doesn't work as expected or it is not a mature product yet.
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
Matillion is easy to use and flexible to debug. Performance are good and support is giving us a good service level. There are still some technical points to be developed more (such as SAP extraction). but easy flows are really fast to be developed. We are also using a tool for migration from other tools, and it is useful as Matillion is producing XML code.
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.
Easy tasks are really easy, and complex tasks are still possible. With prior knowledge of general data warehousing principles and experience with other data transformation tools, it's straightforward to get familiar with and use Matillion. I initially used minimal external support from a partner for some more complex tasks but very soon could work entirely independently with Matillion.
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.
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
Overall, I've found Matillion to be responsive and considerate. I feel like they value us as a customer even when I know they have customers who spend more on the product than we do. That speaks to a motive higher than money. They want to make a good product and a good experience for their customers. If I have any complaint, it's that support sometimes feels community-oriented. It isn't always immediately clear to me that my support requests are going to a support engineer and not to the community at large. Usually, though, after a bit of conversation, it's clear that Matillion is watching and responding. And responses are generally quick in coming.
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.
We selected Matillion primarily because of it's ability to connect to numerous data sources and easily create transformation jobs. While Fivetran does a better job managing and examining deltas, it is not easy to use and is very non user friendly. SSIS was not a good fit for our team and required a significant amount of attention and server management that we did not want to invest in.
We're using Matillion on EC2 instances, and we have about 20 projects for our clients in the same instance. Sometimes, we're struggling to manage schedules for all projects because thread management is not visible, and we can't see the process at the instance level.
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.
Time savings -- we could custom code nearly everything Matillion does, but it would take days/weeks instead of minutes/hours.
There's a bit of a learning curve to truly unlock Matillion's potential, and that can be frustrating for some new users, but once you get over that curve, the possibilities are endless.
It allows us to centralize the hundreds of way to bring data in, so that even if you have to troubleshoot what someone else wrote, it's easy to jump in and understand what is happening.