Adverity or Fivetran?
Which is best for your business?
Who should use Adverity?
Teams that want a no-code solution to transform, enrich, and explore their data.
Teams that need flexibility for both prebuilt and custom transformations, balancing ease-of-use with coding capabilities.
Teams that require specialized data sources, particularly in marketing.
Teams that want to ensure data quality, governance, and exploration — all without needing to leave the platform.
Teams that need to seamlessly share their data with Business Intelligence platforms like Tableau, PowerBI, and Looker Studio.
Who should use Fivetran?
Teams that just need basic data extraction from standard sources and don't need advanced features.
Teams with high SQL expertise who are experienced in performing data transformations.
Teams that don’t want data visualization within their solution.
Teams that are satisfied with limited support and don’t require technical assistance.
Teams that don’t need to seamlessly share their data with BI platforms.
Teams that can handle data quality checks externally before it enters their BI tools.
Features compared
Connectors |
600+ advanced connectors, designed for marketing data as well as specialized sources. |
500+ connectors, many labeled as “lite,” offering limited data granularity. |
|---|---|---|
Data Transformation |
No-code prebuilt transformations, plus AI-assisted custom transformations for coders. |
Requires SQL coding for all data transformations. |
Data Exploration |
Yes — visual exploration of ingested data. |
No |
Data Governance |
Yes — AI-powered data quality, parent-child workspaces, and a data pipeline performance manager. |
Basic—no data quality tools, limited access control, and a simple dashboard. |
Destinations |
16 pre-built plus custom options. |
11 — missing key BI tools like Looker Studio. |
Support |
Yes (scores 93% on G2) |
Yes (scores 79% on G2) |
Quality of support |
||
|---|---|---|
Has the product been a good partner in doing business? |
||
Data Cleaning |
||
Reporting |
||
Product Direction (% positive) |
||
No-code/low-code?
Fivetran's transformation process requires your team to be well-versed in SQL. This makes even basic data manipulations labor-intensive for teams lacking technical knowledge. The reliance on SQL can slow down operations and add extra layers of complexity for non-engineering teams.
In contrast, Adverity offers a range of no-code and low-code options that simplify data transformations for everyone. From pre-built data transformations like Currency Conversion and Join Datastream to advanced coding capabilities for power users, Adverity caters to both non-technical and technical teams. For users needing extra help, AI-powered Enrichment CoPilot assists in complex transformations, making data manipulation accessible to all.
Time to marketing insights
Fivetran users need to perform a larger number of denormalization activities with ingested data so that it is in a format suitable for marketing and analytics use cases.
Adverity structures data so that less work is required to make data business-ready, such as reducing the number of tables and SQL joins. This means first-rate data freshness with up-to-date dashboards with less complex ongoing data management requirements.
Destinations
Fivetran provides 11 built-in destinations for data ingestion, but popular platforms like Looker Studio and HubSpot are absent — this absence can be a significant challenge for teams that rely on a variety of marketing and BI tools.
Adverity offers a wide selection of destinations, giving teams more control over where their data goes. Whether you need to connect to a business intelligence tool, a CRM, or a database, Adverity ensures your data flows where you need it.
Pricing
Fivetran has a usage-based pricing model that charges customers on the number of rows updated - Monthly Active rows (MAR). Fivetran uses data modeling methods that tend to maximize the number of MAR when data is changed and subsequently synced - inflating costs unexpectedly in comparison to alternative data pipeline solutions. There is often a gap between data volume figures recorded in a user’s prior data pipeline solution and the figures displayed within Fivetran’s usage tracker.
Fivetran users often have to perform a higher number of denormalization activities within the data warehouse to format data for reporting and BI. These not only increase data warehouse costs but also make it resource intensive to maintain the data ongoing.
Adverity offers data volume packages based on new unique data rows that are counted once per month. Adverity’s modeling minimizes the number of unique data rows that customers use when data is updated as we do not hyper-normalize data. These rows are also consistent across data sources and destinations and deleted rows are not counted in a customer’s data usage. This makes Adverity a more reliably cost-efficient solution.
Need to migrate from an existing tool? We've got you covered.
Migration can feel daunting, but Adverity’s dedicated support team makes switching from your existing data pipeline tool smooth and hassle-free. We’ve done it for countless clients, ensuring that the transition is seamless, fast, and without service interruptions.
(Spoilers: We've done this before!)
Ready for the proof?
No pre-recorded, boring sales presentations. Just a straight-forward, honest chat about your marketing analytics needs and a personalized tour of our platform and how it might help you.
