We use the solution to replicate data from our ERP.
Fivetran Data Movement Platform
FivetranExternal reviews
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Seamless Data Integration Made Possible With Fivetran
What do you like best about the product?
The set up of the tool is very easy. The tool also has wide range of connectors; customer support is excellent.
What do you dislike about the product?
The cost is little on the higher end so I wouldn't recommend for early stage orgs. There is slight learning curve involved.
What problems is the product solving and how is that benefiting you?
The tool helps us pull data from multiples systesm i.e. Salesforce, HubSpot, Google AdWords. It also saves us a lot of time to integrate these systems and centralize the data at data warehouse level (Snowflake). The tools is literal plug and play.
Streamlined Data Integration for Enhanced Marketing Dashboards
What do you like best about the product?
Fivetran seamlessly automates the data flow from our CDP (Segment) to our staging warehouse (Google Big Query), ensuring timely and efficient data integration for our marketing dashboards. The extensive range of connectors allows us to integrate various data sources, enhancing the efficiency and accuracy of our TOFU, MOFU, and BOFU marketing strategies.
What do you dislike about the product?
While Fivetran is efficient, it offers limited customization options, which can be a challenge when dealing with diverse data sources and complex transformations. In our case it was Intercom. The cost of using Fivetran may be a concern for smaller projects with a limited budget.
What problems is the product solving and how is that benefiting you?
We utilize Fivetran for transforming and validating data for our marketing dashboards. It plays a crucial role in providing insights into our conversion funnels and helping us optimize our marketing and customer success strategies.
The data flows from Segment to Google Big Query and then undergoes transformation in Fivetran, validation in dbtCloud, and finally moves to the production warehouse (Google BQ with dbt_metrics dataset). This streamlined process has enhanced our ability to monitor and analyze our Acquisition & Activation, Activation & Retention, and Referral & Revenue efforts, corresponding to TOFU, MOFU, and BOFU stages respectively.
The data flows from Segment to Google Big Query and then undergoes transformation in Fivetran, validation in dbtCloud, and finally moves to the production warehouse (Google BQ with dbt_metrics dataset). This streamlined process has enhanced our ability to monitor and analyze our Acquisition & Activation, Activation & Retention, and Referral & Revenue efforts, corresponding to TOFU, MOFU, and BOFU stages respectively.
A scalable solution that is very easy to use and very easy to configure
What is our primary use case?
What is most valuable?
The product is very easy to use and very easy to configure. We can do an end-to-end configuration in a few minutes.
What needs improvement?
The connections with SAP must be improved. The environment has some limitations.
For how long have I used the solution?
I have been using the solution since January 2023.
What do I think about the stability of the solution?
The product’s stability is very good.
What do I think about the scalability of the solution?
The tool’s scalability is very good.
How was the initial setup?
The initial setup is very easy. It is not that complex. I was part of the deployment process. It is still ongoing. We are not running production for now.
What about the implementation team?
We need two or three IT employees to maintain the solution.
What's my experience with pricing, setup cost, and licensing?
The solution has good pricing. I rate the pricing a six out of ten.
What other advice do I have?
It's a good integration tool. It is easy to use. Overall, I rate the solution a nine out of ten.
Providing the best all-around Headless solution but at a high price
What do you like best about the product?
We used Fivetran with their Headless Powered by Fivetran solution and it's incredibly helpful, quick and easy to setup and it handles pretty much everything, user authentication included (which others don't).
What do you dislike about the product?
The pricing based on number of rows makes it nearly impossible to be able to predict before-hand how much each connector is going to use and in addition to that ends up being quite expensive (compared to price per number of connectors as many other providers do)
What problems is the product solving and how is that benefiting you?
Centralize marketing and business data from our Agency's clients in order to provide them with better insights and additional analysis in a quick and semi-automated way.
Helps to build data pipelines and save time but pricing is expensive
What is our primary use case?
We use Fivetran to build data engineering pipelines. It helps us do a lot of data transformation and data extraction.
How has it helped my organization?
Fivetran helps us save time and be more efficient because we do things with no-code/low-code.
What is most valuable?
The most important feature of the solution is its ability to build data pipelines in less time.
What needs improvement?
We experience cost issues because Fivetran is charged on a usage basis. When you reach a certain level, the tool should focus on reducing the costs. The solution is expensive when you are moving gigabytes and petabytes of data.
It should also focus more on REST APIs and webhooks.
For how long have I used the solution?
I have been using the solution for two years.
What do I think about the stability of the solution?
The solution is very stable and reliable.
What do I think about the scalability of the solution?
The product's scalability is high.
How are customer service and support?
Fivetran's technical support is average and can take weeks to respond.
How was the initial setup?
Fivetran's deployment is simple.
What other advice do I have?
I rate the solution a seven out of ten.
User-Friendly Tool for Reverse ETL
What do you like best about the product?
Census makes it easy for our marketing team to achieve personalization at scale in our omnichannel marketing without having to rely heavily on our data team. Their no-code UI is very user friendly and makes building our customer 360 a light lift using their reverse ETL.
What do you dislike about the product?
It would be helpful to have a greater variety of self-service user training resources available, but as for the product itself I have not run into anything that I dislike.
What problems is the product solving and how is that benefiting you?
Census helps us to build our Customer 360 by syncing our data warehouse with our SaaS tools.This has allowed us to break down data silos and stop wasting our organization's technical resources on writing Python scripts that are unscalable.
Fast and Easy integration from various Business tool to Data Lake/Warehouse
What do you like best about the product?
Super easy setup-and-forget system.
Row-based pricing.
Lots of integrations and destinations.
Row-based pricing.
Lots of integrations and destinations.
What do you dislike about the product?
Some bad surprises sometimes on number of rows synced.
Might not be Fivetran fault, but more about the source of data.
Yet the sudden spikes for e.g. Hubspot monthly is kinda a bad surprise sometimes.
Might not be Fivetran fault, but more about the source of data.
Yet the sudden spikes for e.g. Hubspot monthly is kinda a bad surprise sometimes.
What problems is the product solving and how is that benefiting you?
Making all of our tools' (SFDC, Sheets, etc.) data queryable in a single place (Snowflake)
My team (data) uses Census for multiple syncs to and from external systems.
What do you like best about the product?
Customer support through our external Slack channel is very helpful and quick to answer questions we have.
What do you dislike about the product?
Sometimes, small issues take a while to be addressed (e.g. boolean fields in syncs). For this reason, we occasionally need to find strange workarounds.
What problems is the product solving and how is that benefiting you?
Census is keeping data in our database synced to external systems, so that these external systems used by other teams have data that is up-to-date. This is more reliable than other methods we have used for this.
Very happy despite a rocky start
What do you like best about the product?
I found the Shopify connector to be the best of all the solutions I evaluated, and has worked really efficiently and smoothly since the implementation.The product notifications are also relevant, inisghtful and timeous while the portal interface is also clean, simple and easy to use. Overall, a really solid product at a great pricepoint for what I need.
What do you dislike about the product?
We had a bumpy start where the support provided during the trial phase was really not what I would have expected from a global company, however once the issues were resolved the solution has worked flawlessly.
What problems is the product solving and how is that benefiting you?
Creating customised reporting and analysis out of a platform like Shopify is not easy, which is something that Fivetran has allowed us to do in an efficient way. Simple, easy to use connection to move the data to an environment in which we have more control and flexibility is exactly what we wanted, and got!
Fivetran - Expensive but Excellent
What do you like best about the product?
Fivetran makes it incredibly easy to get started with replicating data from various source systems into data warehouse. I couldn't believe how quick and easy it was to select the tables and columns I wanted and then with a few clicks get the data replicating.
What do you dislike about the product?
Sometimes it's a bit glitchy, but usually they work things out -- even having a technical support technician jump into the account (after being granted access) and troubleshooting. There were a couple times we had to do a full re-sync or set things back up, but overall it has been easy and straightforward.
What problems is the product solving and how is that benefiting you?
Fivetran helps us solve the problem of replicating data from our source systems (primarily MySQL RDS on AWS) into our data warehouse (AWS Redshift). They helped us avoid bringing a data engineer on board to handle this, at a significant cost savings.
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