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
Matillion
Score 8.5 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
Rubrik
Score 8.3 out of 10
Mid-Size Companies (51-1,000 employees)
Rubrik is cloud data management and enterprise backup software provided by Palo Alto-based Rubrik, Inc. It is a software platform that provides backup, instant recovery, archival, search, analytics, compliance, and copy data management in one secure fabric across data centers and clouds.
N/A
Pricing
Fivetran
Matillion
Rubrik
Editions & Modules
Starter
$0.01
per credit
Standard
$0.01
per credit
Enterprise
$0.01
per credit
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
Fivetran
Matillion
Rubrik
Free Trial
Yes
Yes
No
Free/Freemium Version
No
No
No
Premium Consulting/Integration Services
No
Yes
No
Entry-level Setup Fee
Optional
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.
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 …
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 …
We evaluated Fivetran and Xplenty prior to choosing Matillion. Matillion was the only solution that easily satisfied our single-tenant to multi-tenant use cases.
If you take the time to build your own with Matillion, you will end up with a vastly better solution than Stitch and Fivetran. We ran Stitch and Fivetran side by side connected from our source DB to both RedShift and Snowflake and documented the performance results as well as …
Matillion ran circles around Stitch and Striim both in functionality, setup, and performance. There was no real comparison. Fivetran massively outperforms Matillion in pretty much every facet of the production from setup, maintenance, visibility, and usability. It already …
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, …
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 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 …
Verified User
Manager
Chose Matillion
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 …
Matillion provided much more flexibility than the other products we tested, at a much lower price point. Other products, in my view, had a cleaner/simpler UI but I also felt that they offered much less functionality. A key design pattern we had to deliver was to perform delta …
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 …
Matillion easily integrates with Snowflake which is a huge selling point. It is also affordable fro the amount of data source connections that it comes with.
Matillion offers the unique capability of digital platform connectors (API connectors) and special functionality for Snowflake (which is our primary database). Also various sources including AWS S3, sFTP and various databases connection. In Pricing, the matillion option has …
We used Airflow for a year before switching to Matillion. We switched to Matillion because the Airflow servers were not stable, and we didn't have any in-house expertise that could manage the Linux OS which Airflow is built on. We were constantly frustrated by the fact that …
Matillion had out of the box support for most of the third party tools we have, plus it integrates well with our data warehouse platform. We found it to meet our use cases after a trial period. It's customizable when you know what you are doing. The use of global and local …
There's a number of systems not available to enter in here that we also took a look at: AWS Data pipeline, Airflow, Xplenty, etc. The reason we chose Matillion is for the balance of features (ability to connect into cloud data sources like Jira), a simple interface to put …
Matillion is the best alternative for on-premise ETL tools if you are looking for a cloud-only solution. None of the tools we evaluated provide same features offered by Matillion. Extensive technical documentation is available on the website which makes development easy and …
Fivetran's business model justifies the use-case where we require data from a single source basically a lot of data but if the requirement is not on the heavier side, Fivetran comes to costly operation when compared to its peers. Otherwise, I'll recommend Fivetran for stability and update and seamless service provider.
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.
Rubrik is still a relatively new product when compared to other solutions which tackle total data protection. The feature set is quite broad but still needs some refinements. Most of the User Interface is quite straightforward and easy, but some areas are a bit lacking in a description of what the option is used for, or the option is missing. While making the user experience easy, many tunables aren’t present and require a Support Tunnel to be open for a Support person to make a change in the customer’s environment. Seems the first question Support always asks is if you can open a tunnel for them to remote in. Then you’re not able to monitor exactly what they’re doing.
Matillion is brilliant at importing data -- it would be amazing to have more ways to export data, from emailed exports to API pushes.
Any Python that takes more than a few lines of code requires an external server to run it. It would be great to have more integration (perhaps in a connected virtual environment) to easily integrate customized code.
Troubleshooting server logs requires quite a bit of technical expertise. More human readable detailed error handling would be greatly appreciated.
Automated test restores. I would love to setup automated and random test restores on a regular basis where Rubrik's system will restore a random file or directory to a test SharePoint folder, send a full report, and provide a path to the folder for review and confirmation.
With the current experience of Matillion, we are likely to renew with the current feature option but will also look for improvement in various areas including scalability and dependability. 1. Connectors: It offers various connectors option but isn't full proof which we will be looking forward as we grow. 2. Scalability: As usage increase, we want Matillion system to be more stable.
The support has been incredible. Any time we have had a question, it has always been answered within 24hrs. Also, the team is always will to hop on a Zoom call to help walk us through the dashboard and troubleshoot any issues we are having. Also, having the peace of mind that our data is protected should anything happen in our system.
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.
We are able to bring on new resources and teach them how to use Matillion without having to invest a significant amount of time. We prefer looking for resources with any type of ETL skill-set and feel that they can learn Matillion without problem. In addition, the prebuilt objects cover more than 95% of our use cases and we do not have to build much from scratch.
The support is top notch both tech and sales team, the tools are simple to use and yet still is feature rich. Security is top of the list, the product is sold and reliable, easy to configure and intuitive to use.
Rubrik's brik is designed with redundancy in mind, ensuring that if one node experiences issues, others can continue to provide backup and recovery services.
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.
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.
Rubrik support has been pretty good. There have been a few issues with new releases we have experienced and are still considering if we want to make the jump to version nine. There are a few things we are concerned about which are giving us pause. That being said, support is working hard to answer our questions.
Easy to follow and very thorough. Trainer was knowledgeable and helpful answering any questions and providing detailed answers where possible. It's also nice to gain another badge :) There is also the Rubrik University online tutorials to refer back to and keep updated with new innovations. I would say the exam was very hard.
From experience the implementation was smooth and easy, like a simple plug and play format but would need coordination from your network team to be able to see the entire IT infrastructure.
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.
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 is essential to deciding which tool fits better. For the transformation part, dbt is purely (SQL-) code-based. So, it is mainly whether your developers prefer a GUI or code-based approach.
Having all our backups under one umbrella made product management easier, with not need to manage myltip contracts.
The additional analysis of the data after the fact gave insights into our user data, without the need for an addition product, or the impact on live data sets.
We are fine with the 1 year or 3 year support options that Rubrik has had. The support for the on-prem hardware has been great too. We've had them for quite a while (4+ years) and no end of support yet.
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.