Fivetran Data Movement Platform
FivetranExternal reviews
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Great tool that give us incredible insight into our users!
What do you like best about the product?
I love that it pipes valuable usage data right into SFDC so our team can access it easily.
What do you dislike about the product?
Haven't found anything I dislike in the product.
What problems is the product solving and how is that benefiting you?
We need insight into how actively users are using specific parts of our product to inform our product team on usage and to help our GTM team assess adoption.
Definately a good option to collect data in batch mode from multiple sources, good product support
What do you like best about the product?
I used FiveTran for POC to integrate and pull data from AWS S3 and Spool Directory of the Unix server , it helped us to extract data from various sources, transform it, and load it into a destination database. It supports multiple sources, including databases, cloud applications, and APIs, and integrates with various cloud-based data warehouses such as Snowflake, Amazon Redshift, and Google BigQuery. It provides pre-built connectors for many popular data sources and automates the data pipeline, making it easier for our business to consolidate data and gain insights.
What do you dislike about the product?
Lack of real time streaming or processing data. It does not support real-time ingestion of data. It has a configurable sync schedule that can run as frequently as every five minutes for some data sources. There are some time issue faced with schedular as well during our POC.
What problems is the product solving and how is that benefiting you?
We had to pull data from different sources and push it to Database, we were exploring option during POC, first we had only batch mode data processing as requirement , so we consider it . Its easy to configure the source due to pre-built connectors , supporting quick integration and different data formats solved our problem.
The data can be loaded into the destination database relatively quickly after it is added or updated in the source system. However, it is not a real-time ingestion solution, and there may be a delay between the time when data is changed in the source system and when it is available in the destination database.
The data can be loaded into the destination database relatively quickly after it is added or updated in the source system. However, it is not a real-time ingestion solution, and there may be a delay between the time when data is changed in the source system and when it is available in the destination database.
Transform Your Data Integration Process with Census Reverse ETL Platform
What do you like best about the product?
Census has a user-friendly interface that allows me to easily create and manage data syncs between our data warehouse and other applications and has helped me save time and effort by reducing the need for manual data entry and processing. Another helpful feature of Census is its automation capabilities. It automates data syncs, which has helped us reduce errors and ensure that our data is always up-to-date; particularly helpful for our sales and marketing teams, who rely on accurate and timely data to make informed decisions.
What do you dislike about the product?
While the cost of the Census platform may be a potential downside, it's essential to consider its numerous benefits. Depending on the size and complexity of an organization's data integration needs, the benefits of Census may outweigh the costs and significantly improve business outcomes.
What problems is the product solving and how is that benefiting you?
Census has been a lifesaver for us when it comes to integrating our data from different systems. We were struggling to keep our data warehouse in sync with other applications like CRM, marketing automation tools, and analytics platforms, but now with Census, it's become a breeze. We can easily connect and synchronize data across our various systems, which has given us a more unified and comprehensive view of our data, improved our decision-making, and helped us identify new growth opportunities. With Census automating the data syncs, we can now keep our data up-to-date and accurate without the need for manual data entry or the risk of errors. I highly recommend Census to anyone looking to simplify their reverse ETL process and unlock the full potential of their data.
Solid ELT solution, meets our data Integration needs.
What do you like best about the product?
The ability to transform data within the platform without requiring external tools or scripts. Fivetran has a large number of pre-built connectors, they cover a wide range of data sources, making it easy to integrate with different systems. Regardless of where our data is coming from, Fivetran has made the extraction process seamless and reliable, providing us with clean and structured data that we can use for our analytics needs.
What do you dislike about the product?
We've had scenarios when the sync process failed to complete successfully, causing some delays in our data pipeline. The process of troubleshooting the sync errors can be time-consuming and requires technical expertise, which could be a challenge for some organizations without dedicated data engineering resources.
What problems is the product solving and how is that benefiting you?
Fivetran streamlines the way we access and use data by providing a reliable ELT solution that reduces the need for manual intervention. Helps us focus on analyzing data and drawing insights that drive business decisions rather than spending time on manual data integration processes.
Very opaque pricing / billing practices, unhelpful support
What do you like best about the product?
Easy to spin up ETLs from various data sources straight into data warehouses. It works really well for low-volume data sources such as Google Sheets etc. effectively cutting the engineer in the loop from these data sources.
It is easy to spin up sources from high-volume data sources like Google Analytics, Meta Ads etc. but be extremely aware that this is very cost ineffective usage of the platform.
It is easy to spin up sources from high-volume data sources like Google Analytics, Meta Ads etc. but be extremely aware that this is very cost ineffective usage of the platform.
What do you dislike about the product?
Extremely opaque billing practices. Our bill shot up about 5x month over month with no notice because of very loose usage of "free historical syncs."
The initial trial period for connectors obfuscates billing for connectors and the platform does not provide any control over your spending (such as maximum spend limits or accurate spend forecasts). In conjunction with how the usage is calculated - effectively, you will get charged 80% of the usage for the month on the first day and the rest throughout the month; this means that you do not have any control over your spending throughout the month.
On top of this, the support for billing is extremely thin and our experience is that Client Success team has a very limited understanding of billing and usage and even less agency over it.They will hop on a call when you want and they will act emphathic etc. but in our experience, they never follow-up on their action items. Extremely unhelpful and patronizing attitude in general.
The initial trial period for connectors obfuscates billing for connectors and the platform does not provide any control over your spending (such as maximum spend limits or accurate spend forecasts). In conjunction with how the usage is calculated - effectively, you will get charged 80% of the usage for the month on the first day and the rest throughout the month; this means that you do not have any control over your spending throughout the month.
On top of this, the support for billing is extremely thin and our experience is that Client Success team has a very limited understanding of billing and usage and even less agency over it.They will hop on a call when you want and they will act emphathic etc. but in our experience, they never follow-up on their action items. Extremely unhelpful and patronizing attitude in general.
What problems is the product solving and how is that benefiting you?
We used fivetran to extract data from various sources and sink it in our data warehouse. It does this job relatively okay but the billing practices make the tool effectively a very low ROI investment, I'd recommend just going the traditional ETL route.
Amazing integrations
What do you like best about the product?
Ease of connector use and variety of connector ecosystem. A lot of their connectors have really good schema which naturally fits the use case. Also whenever in doubt the documentation is very good, I refer to it
What do you dislike about the product?
The pricing is pretty confusing and its a bummer that their logging feature is only available in a paid plan. They should really give solid examples on their website.
What problems is the product solving and how is that benefiting you?
Google Ads, Bing, Yahoo Search data. Also GSC Data is super useful.
Great Product, but Beware the Cost
What do you like best about the product?
Fivetran is almost unbelievably easy to configure and use. The free initial sync is an incredible feature, and MAR is pretty transparent and easy to work with. Fivetran support is also terrific.
What do you dislike about the product?
Cost can be prohibitive, and new users really need to pay attention to what they're planning to ingest. Expense can get out of hand quickly, which means you may end up supporting multiple pipeline tools anyway.
What problems is the product solving and how is that benefiting you?
Extremely easy to use--basically replaces half an FTE for us.
No-code, low fuss Extract Tool
What do you like best about the product?
- It is very easy to get started and ingest data. There is no infrastructure or code to manage
- There is a huge catalogue of connectors available which covers the requirements of most of the enterprise customers
- Fully managed service - that means you can set it and forget it without much maintainence
- There is a huge catalogue of connectors available which covers the requirements of most of the enterprise customers
- Fully managed service - that means you can set it and forget it without much maintainence
What do you dislike about the product?
- The pricing model is not very good. Pricing based on the monthly active rows is confusing and difficult to forecast the pricing
- Enterprise customers with a large amount of data might not find the pricing model very attractive.
- Enterprise customers with a large amount of data might not find the pricing model very attractive.
What problems is the product solving and how is that benefiting you?
- Fivetran replaces inhouse data extraction python scripts and provides enterprise grade data, managed connectors that can pull data from a variety of sources.
- WIth this data engineers can focus more on delivering insights and data to business than spending hours writing customer extraction scripts and maintaining infra needed to run them
- WIth this data engineers can focus more on delivering insights and data to business than spending hours writing customer extraction scripts and maintaining infra needed to run them
Seamless and effortless
What do you like best about the product?
Census saved us weeks of engineering effort and enabled our data engineer to build complicated cross-tool migrations effortlessly. I can't think of a tool that is more aptly focused on "don't waste time reinventing the wheel." Thousands of data engineers before you, have written an Airflow pipeline to shove data into HubSpot from your data warehouse. It's a solved problem. Don't waste your investor capital solving that problem again. Use Census.
What do you dislike about the product?
Nothing at all. Census was perfect end to end. I only wish it had more connectors!
What problems is the product solving and how is that benefiting you?
Reverse ETL
Fivetran is a useful service for optimizing your data organization and ELT processes
What do you like best about the product?
Fivetran makes data engineering processes easier by replicating and automating our data warehouse complete with historical data. Using Fivetran's tables accelerates our time to publish data visualizations and help our chief-level staff perform using data-driven decisions.
What do you dislike about the product?
Some services Fivetran offers - particularly with historical data and data warehouse tables - can be costly to automate and track. In some cases, there are accessible alternatives to track only a subset of this data for barely a fraction of the price.
What problems is the product solving and how is that benefiting you?
When we used Fivetran, it helped our organization track events and event history across our platform in a way that is enabling us to efficiently organize and visualize data even with a limited amount of team members. With Fivetran's data replication and automated table production, data analysts can pick and choose which fields they need for stakeholder data visualizations without having to wait for the data to be prepped, cleaned, and organized by a data engineer. This massively increases our time to publish Tableau dashboards and quickly have access to data and data history that we may not have been able to utilize previously.
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