Domo is a full self-service business intelligence software that combines several data analysis and reporting tools into one platform. It helps users connect to multiple data sources, create robust visual reports, manage their data, send messages in real-time, manage projects, and develop new apps.
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Maia by Matillion
Score 8.5 out of 10
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Maia by Matillion is an autonomous data engineering platform designed to automate the lifecycle of data pipelines through AI-driven orchestration. The solution functions as an enterprise "digital workforce" that translates natural language requirements into production-ready DataPipelines, leveraging a Pushdown Architecture to execute transformations natively within cloud data warehouses.
$2.50
Pay as you go per user
Pricing
Domo
Maia by Matillion
Editions & Modules
No answers on this topic
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
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Offerings
Pricing Offerings
Domo
Maia by Matillion
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Billed directly via cloud marketplace on an hourly basis, with annual subscriptions available depending on the customer's cloud data warehouse provider.
Because Domo has high mobile and responsive features, we prefer Domo over the others. Because other products still lack features in terms of features, it slows us down. We hope that Domo continues to innovate continuously to become even better. Thank you Domo for providing many …
Much better than the previous system Tag which was Corvu which ended up being just a shell for Rocket Software. It also brings modern capabilities such as roles and security to the systems that we have, It is also a lot easier than the old one in which we needed to hire a …
Microsoft Excel has the ability to create spreadsheets and charts however it requires very complicated formulas and macros. Domo is a little more user friendly as far learning how to use the program without needing to understand complex formulations. Excel is also very touchy, …
Domo is on the higher side when it comes to price against the competition but it warrants it. It has all the features and capabilities you will need to execute an exceptional BI program across your organization. I'm not sure I'd recommend this if this is your first BI tool just …
Domo customer service is what sets it apart. This is something that we focus on because setup time for tools and downtime often causes issues. Having the support team being so responsive and able to help is a huge bonus.
Domo is a complete end-to-end platform that provides warehouse, ETL, and visualization features as against these other platforms which are mostly visualization platforms. Though other platforms have started providing data cleaning features, they do not provide connectivity to …
Domo is one of the best software out there simply because of the functionality and capability that it has over other software. The only downside with this is that it is a bit more expensive compared to other solutions out there, but this is because of the added functionality.
I wasn't personally involved with the selection of Domo as compared to other solutions. I am aware that the close proximity of the company to us gave them opportunities to be more personal in their presentation. Tableau was probably our second choice. But the customer service …
I have used Tableau, Hyperion, Micro-strategy, Crystal, and SSRS, nothing was as easy to use as Domo. It is also not one-off. I can create a new report based off of an existing dataset in a few minutes, and so can anyone else.
Domo is by far the industry leader. Other tools/platforms have unique strengths, but from an overall perspective, Domo is the most versatile and does an exceptional job in all areas. This is critical when it comes to "scale". A BI project may start with a siloed scope, but as …
I have never used Tableau, but I've spoken with colleagues who have used it. Tableau is good and probably a better experience for the report builder, but I know my executive team is satisfied with it and it does make it easy for them see how the company is performing as a whole.
We switched from Tableau to Domo because we believe Domo is a better tool for self-service business intelligence. After switching to Domo, we saw much stronger adoption from business users compared to Tableau.
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 …
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, …
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 …
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 …
Domo is great when you want to see lots of values historically or see data you can see natively in a platform. As I mentioned earlier, Domo is the only way our Marketing and Sales teams can see when their emails were opened and compare the send time - this is an example of data I can't see natively.
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.
Provides data acquisition, transformation and visualization all administered from one cloud-based tool. No switching between tools or cobbling different products together.
Provides GUI and MySQL interfaces for data manipulation for both entry-level and advanced users.
Huge amount of data connectors out of the box, plus you can easily create your own custom connectors.
When changing cards from one dataset to another any beast modes are not carried over, it would often make life easier if there was an easier way to copy beast mode calculations from one dataset to another.
Domo documentation, university and Dojo are extremely helpful when we run into problems. However, when support beyond that is needed their help desk seems to have a hefty backlog - the amount of time to resolve tickets is frustrating sometimes.
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.
Domo is a great up-and-coming product. There are many fantastic features that are extremely compelling to our end users, which makes Domo a great fit for our organization. As with many BI tools, there are items on the wish list that could make implementation, administration and usage easier, but I believe these will be addressed over time as the product matures and evolves. The overall concept and approach of this solution has definitely raised the bar in this area of expertise and I would like to see things advance in giving the enterprise tools that will make decision making easier and more robust in the future.
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.
A business management platform has to be flexible to provide solutions for customers from any business environment, but that flexibility has to be delivered without requiring complex business process re-engineering and massive data conversion efforts. Domo’s web-based architecture and wealth of connectivity options allow rapid setup for any business. If your marketing company is wrestling with channel return on investment or your educational organization is drowning in data, Domo has the tools and capability to use your data and turn it into something useful for you
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.
Pretty responsive. It took a while to get a response in selecting data points for our particular cards. Might have taken about a month? I am not sure if this was something on our end or Domo's end. But haven't had any other issues yet that required additional support from Domo.
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.
It is a true web-based application so implementation is much easier and smoother compared to other non-web based BI solutions. Also, they offered consulting services during the implementation process, which was helpful. Also, they provided lots of on-demand training courses and videos, which I liked.
Domo is by far the industry leader. Other tools/platforms have unique strengths, but from an overall perspective, Domo is the most versatile and does an exceptional job in all areas. This is critical when it comes to "scale". A BI project may start with a siloed scope, but as the project bares fruit, others begin to ask how they can participate/leverage the tool/platform for their own projects - because of this, Domo's versatility is incredibly important
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.
Domo has allowed us to see much more clearly what is working for students on our programs, and what is not. This enables us to consolidate success and further develop where there are areas of concern.
The verbatim comments in Domo makes the reports especially attractive to staff, since they are able to engage directly with students' personal opinions and not just with rating scales.
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.