Fivetran vs. Improvado

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.

Incentivized

This solution helped us when we were stuck trying to explore data deeper and didn’t have enough resources to prepare data for further analysis. The software solves data integrity problems bringing more granularity to all insights. Integration with data visualization tools and well-arranged insights shows how each of the company’s marketing channels performs in real-time. Improvado is also useful for risk mitigation when launching or adjusting marketing strategies. It may also become a valuable tool for businesses, who are aiming at automation and the elimination of routine processes. ETL processes automation unleashes marketing analysts’ potential granting them more time for research of marketing reports.

• Easily connects to source data using delivered connectors
• Transforms data into standard models and schemas
• Has very good documentation to help quickly setup connectors

Incentivized

• ETL processes. Once adjusted, Improvado never fails to streamline data from our advertisement platforms to the data warehouse.
• Variety of data sources. Improvado extracts data from over 200 sources, including both well-established platforms and the ones that are rapidly gaining momentum.
• Full-cycle support. Improvado provided us with a dedicated manager available 24/7. Any issues that arose during the product integration were settled in a matter of minutes.
• Flexibility and client-focused approach. After the integration, we adjusted our marketing campaign and needed new ad platforms to be integrated. The vendor allocated the development team ASAP to add new connectors to our existing network.
• Professional services package. The company doesn't provide dashboard views by default. However, we had no time to figure out how to do it ourselves, so we hired a team of Improvado's analysts that set everything up for us.

• More detailed logging
• More flexible choices for time range over which records are synced
• More options for masking and excluding sensitive data

Incentivized

• Improvado didn’t have all the integrations that we needed. However, they offered full coverage and quickly found ways to extract data from the sources we required.
• The user interface for BI tools may be confusing to inexperienced users. Personally, I didn't have any problems. However, some of the junior marketing specialists from my department needed more time to adapt to the UI. Otherwise, the interface is great.

Just need to input connection info.

Incentivized

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.

Incentivized

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.

Incentivized

We chose Improvado for the following reasons:

• Their data transformation framework cleans, normalizes and prepares data for loading into our data visualization tool;
• We connected our CRM to our analytics tool and as ad account;
• Extensive social media reports - the marketing team can view our ads, posts, comments right from the dashboard.
• Scheduled reports and immediate data sync options help us to get the reports with the most accurate data at the time we need them;
• Google Ads auto-connect new ad accounts.

Our marketing team evaluated Funnel.io and has opted for Improvado because of the following drawbacks:

• With Funnel we’d have to set up an extraction process for each campaign and account manually;
• The more accounts you need to connect or integrations to use, the more you’ll pay;
• Limited data storage options;
• Complicated account export. We had to filter accounts to export through the custom filter rules.

• Development cost have reduced for each connector
• The pay-per-use model is still not out their which requires lot of overhead cost

Incentivized

• Increased ROI
• Improved cost of acquisition analysis
• Improved CPA, CPI, CPL report drawing process