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…
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SAP Data Quality Management
Score 8.9 out of 10
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SAP Business Objects Data Quality Management embeds data quality functionality into SAP applications.
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Fivetran
SAP Data Quality Management
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Fivetran
SAP Data Quality Management
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Fivetran
SAP Data Quality Management
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Chose Fivetran
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 is much easier to set up and maintain. Airbyte still had a degree of technical knowledge requirement that we didn't have the resources to commit. Fivetran allowed a non-technical employee to establish pipelines and immediately start using the data without having to …
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 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 …
Fivetran is more intuitive and easier to use than code-based ETL/ELT tools. The data modelling Fivetran performs makes the data more usable more quickly. Fivetran's dbt support and integration is unique.
Honestly, we haven't done much investigation in a while, it just works 360 days of the year. The other five days there may be a hiccup that will throw us a day off of data, but it gets caught up in the end.
IDQ was a best fit for our data quality management, but we didn’t have a lot of Informatica services to integrate with it hence we implemented SDQ instead.
SAP Data Quality Management has close data monitoring, which helps in close data cleansing, and the entire filtration process. Besides, has proper address verification, with customer details being enhanced. Again, SAP Data Quality Management makes a profitable way of predictive …
SAP Data Quality supports the integration with significant sources, but security and accuracy are maintained and enhanced. Besides, SAP Data Quality eliminates the data duplicates, a solution that saves on space, and improves the loading power of any system. More so, SAP Data …
SAP Data Quality has the data connectivity part, that ensures quality and standard evaluations are made. Further, SAP Data Quality has an incredible service chart, that makes all the client's complaints extensively addressed and service satisfaction maintained. Finally, SAP …
I love the SAP Business Objects Data Quality Management and its ability to create reports quickly and accurately as well as being able to export information and send to others very quickly. My experience has been fantastic and has helped clean up so much bad and useless data …
The client was on a SAP platform for most of their applications and also is planning to implement SAP Hana very soon. This tool was fitting good for the requirement of the client to manage the quality of the data and hence adapt it in the system. Also, it can go well with the …
This is the only program of its kind that I have any experience with. I have heard of a few others. From people I have talked to, they have seen in other programs some of the options that I would like to see in SAP, but to me where our greater needs are, SAP is still the better …
[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.
When reporting, we use accurate data with no duplications since they are addressed by SAP DQM, we get the right target audience by analyzing marketing data, and also helps us to understand the current situation of our firm by comparing metrics.
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.
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.
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.
The client was on a SAP platform for most of their applications and also is planning to implement SAP Hana very soon. This tool was fitting good for the requirement of the client to manage the quality of the data and hence adapt it in the system. Also, it can go well with the BO reporting.