Maia by Matillion vs. SQL Server Integration Services (SSIS)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Maia by Matillion
Score 8.5 out of 10
N/A
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
SSIS
Score 8.0 out of 10
N/A
Microsoft's SQL Server Integration Services (SSIS) is a data integration solution.N/A
Pricing
Maia by MatillionSQL Server Integration Services (SSIS)
Editions & Modules
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
No answers on this topic
Offerings
Pricing Offerings
Maia by MatillionSSIS
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsBilled directly via cloud marketplace on an hourly basis, with annual subscriptions available depending on the customer's cloud data warehouse provider.
More Pricing Information
Community Pulse
Maia by MatillionSQL Server Integration Services (SSIS)
Considered Both Products
Maia by Matillion
Chose Maia by Matillion
Dataiku and Azure Databricks
Chose Maia by Matillion
Matillion's price is cheaper than Talend and has similar functionalities Matillion has better functionality than Apache Hop
Chose Maia by Matillion
Matillion has more security and better version control features. The support of amazing with new connectors introduced every day.
Chose Maia by Matillion
I have not used any other products yet
Chose Maia by Matillion
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.
Chose Maia by Matillion
I think Matillion is more cost effective and user friendly as compared to the ones mentioned
Chose Maia by Matillion
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 …
Chose Maia by Matillion
Matillion is affordable, easy to use with a graphical interface
Chose Maia by Matillion
Cheaper and faster and more innovative
Chose Maia by Matillion
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.
Chose Maia by Matillion
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 …
Chose Maia by Matillion
In my opinion Matillion provides more flexibility then the other tools I mentioned.
Chose Maia by Matillion
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.
Chose Maia by Matillion
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 …
Chose Maia by Matillion
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 …
Chose Maia by Matillion
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, …
Chose Maia by Matillion
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 …
Chose Maia by Matillion
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.
Chose Maia by Matillion
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 …
Chose Maia by Matillion
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 …
Chose Maia by Matillion
Better UI, logging, minimal configurations, easy previews and faster
Chose Maia by Matillion
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 …
Chose Maia by Matillion
This is my first time using an ETL tool
SSIS
Chose SSIS
Informatica PowerCenter (legacy) and CloverDX
Chose SSIS
Both are very similar. Azure is cloud based. It is easier for the organization who uses cloud based application. The SQL Server Integration Services is cost effective. Azure was more on the expensive side for our organization. Azure was a little complex, it needed special …
Chose SSIS
I think SQL Server Integration Services is better suited for on-premises data movement and ADF is more suited for the cloud. Though ADF has more connectors, SQL Server Integration Services is more robust and has better functionality just because it has been around much longer
Chose SSIS
Fivetran, Stitch, and Etleap are all 1000x more modern than SSIS and 100x less aggravating. While those tools are mainly used to sync data rather than transform it, the ELT model works much better than the ETL model in most situations.
Chose SSIS
We just selected SSIS because we use SQL Server Management System (SSMS) to manage our database. As SSIS is a component of the Microsoft SQL Server there are no problems with integration and everything works perfectly. In addition, we don't have to learn how to use another …
Chose SSIS
Low-cost relative to other products - in fact, zero cost if one is considering the license cost as being for the database engine with Integration Services added on. It has a comparable range of functionality and performance and as such it's a 'no-brainer' to use SSIS over …
Chose SSIS
SnapLogic and Azure Data Factory are better than SQL Server Integration Services mostly because they are Integration Platform as a Service (IPAAS) services, whereas SQL Server Integration Services is an on-premise. So the basic differences such as, need a VPN to connect to the …
Chose SSIS
SSIS is similar to Alteryx and Informatica PowerCenter in a way because these are all drag-and-drop ETL tools with similar functionality. Alteryx is a step ahead because it has some advanced ETL functionalities including statistical calculations etc. and a better ability to set …
Chose SSIS
Alteryx Designer is easier to use for machine learning models. The functionality of drag and drop is the most valuable. It is a very user-friendly tool that can be understood easily. My teams also work with other solutions, such as Integration Services, and these solutions are …
Chose SSIS
I had nothing to do with the choice or install. I assume it was made because it's easy to integrate with our SQL Server environment and free. I'm not sure of any other enterprise level solution that would solve this problem, but I would likely have approached it with …
Chose SSIS
SQL Server Integration Services is a good alternative to cut down on costs and have more flexibility on developing.
Chose SSIS
SAP Business Objects was a primary concurrent software against the MS SSIS but it has a more steep learning curve and requires additional investment into the SAP-related software infrastructure. With SSIS one can start easily with simple data extraction / DTL tools of Express …
Chose SSIS
I personally prefer SSIS. There are items that each do better than the others, but the ease of use of SSIS, along with its extensibility to 3rd party, ability to write any code required in the tool, and uses the same IDE for the MS BI suite (more of an issue if you're not a …
Chose SSIS
I used the Pentaho Data Integration (PDI) ETL tool. The PDI ETL tool does not have a public user collection like the SQL Server Integration Services(SSIS) ETL tool. Therefore, you may not be able to find instant solutions for your problems. But it has advantages over the SSIS …
Chose SSIS
We selected SSIS as it came part of our standard SQL license. We did not evaluate any other solutions as SSIS has met all our needs.
Chose SSIS
SQL Server is already in our wheelhouse so it only made sense to utilize the tools we already had available to us--SSIS, SSAS, & SSRS. Other non-technical users seem to be more comfortable using alternatives to SSIS. However, these alternatives are not as good as SSIS at …
Chose SSIS
These are all great products and, honestly, can move data faster. They include more enterprise features and have some great qualities about each. However, they all cost a lot depending on the implementation you need. With SQL Server Integration Services, you do not have any …
Chose SSIS
When looking to evaluate different options, we looked first to the experience and software we had in-house that would accomplish the job. When assessing alternatives outside we were looking for the tool that would offer the most flexibility.

SSIS provided the most robust set of …
Chose SSIS
It’s basically a free tool and it has more features than anyone would ever need. If you look online for answers for SISS packages you will find a world of information that can cover almost any situation for your business. This tool can be used in any business and it provides …
Chose SSIS
SSIS is a very basic, developer-oriented ETL tool and while it lacks many of the nice UX features of its competitors it is a powerful tool that comes as a part of SQL Server and, in the hands of experienced developers with domain knowledge, can meet most organizations' ETL …
Chose SSIS
SSIS and Denodo differ in their approaches to ETL and Data integrations. SSIS is more affordable from a cost and licensing perspective (if you have Microsoft licensing), but Denodo is no slouch. If you go with Denodo, you are not creating data, there are pros and cons to …
Chose SSIS
SQL Server Integration Services does a good job for our SQL Server environments and was selected for that reason. For a SQL Server-only implementations, I would recommend SQL Server Integration Services. When we compared SSIS to other ETL providers against SQL Server, SSIS was …
Features
Maia by MatillionSQL Server Integration Services (SSIS)
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Maia by Matillion
8.7
Ratings
5% above category average
SQL Server Integration Services (SSIS)
7.0
Ratings
17% below category average
Connect to traditional data sources9.00 Ratings9.00 Ratings
Connecto to Big Data and NoSQL8.30 Ratings5.00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Maia by Matillion
8.8
Ratings
8% above category average
SQL Server Integration Services (SSIS)
6.8
Ratings
18% below category average
Simple transformations9.40 Ratings9.00 Ratings
Complex transformations8.20 Ratings4.70 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Maia by Matillion
8.4
Ratings
7% above category average
SQL Server Integration Services (SSIS)
7.5
Ratings
4% below category average
Data model creation9.10 Ratings9.00 Ratings
Metadata management9.10 Ratings6.00 Ratings
Business rules and workflow8.40 Ratings7.00 Ratings
Collaboration7.70 Ratings9.00 Ratings
Testing and debugging7.80 Ratings6.30 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Maia by Matillion
8.2
Ratings
2% above category average
SQL Server Integration Services (SSIS)
5.3
Ratings
41% below category average
Integration with data quality tools8.20 Ratings6.10 Ratings
Integration with MDM tools8.20 Ratings4.60 Ratings
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User Ratings
Maia by MatillionSQL Server Integration Services (SSIS)
Likelihood to Recommend
8.7
(0 ratings)
8.0
(0 ratings)
Likelihood to Renew
8.6
(0 ratings)
9.0
(0 ratings)
Usability
8.4
(0 ratings)
8.0
(0 ratings)
Performance
-
(0 ratings)
8.8
(0 ratings)
Support Rating
7.4
(0 ratings)
8.0
(0 ratings)
Implementation Rating
8.2
(0 ratings)
10.0
(0 ratings)
Product Scalability
8.2
(0 ratings)
-
(0 ratings)
Vendor post-sale
9.1
(0 ratings)
-
(0 ratings)
Vendor pre-sale
9.1
(0 ratings)
-
(0 ratings)
User Testimonials
Maia by MatillionSQL Server Integration Services (SSIS)
Likelihood to Recommend
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.
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Ideal for daily standard ETL use cases whether the data is sourced from / transferred to the native connectors (like SQL Server) or FTP. Best if the company uses MS suite of tools. There are better options in the market for chaining tasks where you want a custom flow of executions depending on the outcome of each process or if you want advanced functionality like API connections, etc.
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Pros
  • The user interface of your data pipelines makes it easier for people who aren’t as techy as data engineers to observe what's going on.
  • Customer support is quick, not always as efficient as you would want it to be, but still.
  • Nice documentation available.
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  • SSIS works very well pulling well-defined data into SQL Server from a wide variety of data sources.
  • It comes free with the SQL Server so it is hard not to consider using it providing you have a team who is trained and experienced using SSIS.
  • When SSIS doesn't have exactly what you need you can use C# or VBA to extend its functionality.
Read full review
Cons
  • 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.
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  • SSIS memory usage can be quite high particularly when SSI and SQL server are on the same machine
  • SSIS is not available on any environment other than Microsoft Windows
  • SSIS does not function with any database engine back-end other than Microsoft SQL Server
Read full review
Likelihood to Renew
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.
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SSIS is responsible for running core business processed managing core business data. It can be managed, improved and expanded using minimal internal resources. It is also able to support all of our current data infrastructure. Replacing SSIS would be time consuming and costly with no apparent ROI.
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Usability
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.
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It is easy to learn, works great on many features, but needs improvement on ETL troubleshooting and performance monitoring functionality. Great tool on Microsoft stack. it is great with simple, structured datasets. Once logic gets fancy like nested conditionals
complex joins,
reusable transformations, versioned logic …SQL Server Integration Services (SSIS) packages become hard to read and harder to maintain. Source control is painful. Errors can be cryptic
Logging takes effort to set up well
Debugging in production is limited.
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Performance
No answers on this topic
Raw performance is great. At times, depending on the machine you are using for development, the IDE can have issues. Deploying projects is very easy and the tool set they give you to monitor jobs out of the box is decent. If you do very much with it you will have to write into your projects performance tracking though.
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Support Rating
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.
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The support, when necessary, is excellent. But beyond that, it is very rarely necessary because the user community is so large, vibrant and knowledgable, a simple Google query or forum question can answer almost everything you want to know. You can also get prewritten script tasks with a variety of functionality that saves a lot of time.
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Implementation Rating
We were able to control on access and built various enviroment for implementation
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The implementation may be different in each case, it is important to properly analyze all the existing infrastructure to understand the kind of work needed, the type of software used and the compatibility between these, the features that you want to exploit, to understand what is possible and which ones require integration with third-party tools
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Alternatives Considered
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.
Read full review
Both are very similar. Azure is cloud based. It is easier for the organization who uses cloud based application. The SQL Server Integration Services is cost effective. Azure was more on the expensive side for our organization. Azure was a little complex, it needed special training to use it. Azure was not accurate with complex data.
Read full review
Scalability
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.
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No answers on this topic
Return on Investment
  • 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.
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  • Without this, we would have to manually update a spreadsheet of our SQL Server inventory
  • We would also have poor alerting; if an instance was down we wouldn't know until it was reported by a user
  • We only have one other person who uses SQL Server Integration Services , he's the expert. It would fall to me without him and I would not enjoy being responsible for it.
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ScreenShots

Maia by Matillion Screenshots

Screenshot of Matillion's GUI, used to orchestrate jobs with control data flow functionality, automating the ETL process.Screenshot of where structured and semi-structured data can be prepared to create clean data sets that can be used with any BI/reporting/visualization tool of choice. Matillion reads and combines data across a target warehouse external storage, such as S3 or Blob.Screenshot of Matillion's self-validating components, sample and row counts. If a job does fail, the warehouse queue services available with Matillion can be used get an alert to a connected email or Slack account.Screenshot of the SQL component used to run custom scripts from within Matillion. With hundreds of pre-built connectors out of the box, Matillion can handle complex transformation needs.