proven performance over recycled tech

Fivetran vs. Snowflake Openflow

While Snowflake's 2025 Openflow (formerly Datavolo) release is a limited add-on, Fivetran stands as a proven, purpose-built platform for moving data from 700+ sources to 160+ destinations, including data warehouses, data lakes, and more.

Fivetran vs. Openflow: Features and performance
Openflow
Support for every data source in your stack
700+ high-performance pipelines plus an easy-to-use Connector SDK
7 GA connectors, plus 12 in Preview
Destination-agnostic to support migrations and multi-destination deployments
160+ supported destinations, including data warehouses, data lakes, lakehouses, and applications
Only compatible with Snowflake via Snowpipe Streaming
Limited data engineering resources required
Easy-to-set-up pipelines can be set up by anyone
Requires NiFi skills
Deploy on any cloud
Limited to AWS
Robust object support for Workday, Hubspot, and Jira
Robust table and object availability, with illustrative ERDs
Limited table and object availability
Automatic data conversion to Apache Iceberg or Delta Lake open table formats
Fivetran Managed Data Lake Service supports Iceberg and Delta Lake
Not supported
No additional infrastructure needed
Fivetran is delivered as SaaS, meaning no additional infrastructure or maintenance costs 
Incurs Snowpipe Streaming and AWS Elastic Kubernetes costs and maintenance
Table last updated 7/15/25. For the latest product developments, check the product documentation.
THE ENTERPRISE STANDARD FOR DATA MOVEMENT

Fivetran vs. Openflow: Performance and usability

At Fivetran, we are focused on providing reliability and scale for our customers

Learn more about our benchmarks

500+ GB/hr

Historical sync throughput speeds

9.1+ Petabytes

Amount of data synced per month

22.2M +

Schema changes handled per month

37.7M +

Transformation models run per month

156.5M +

Pipeline syncs per month

10.1T +

Rows synced per month

High-performing pipelines ensure you get data in real time

Fivetran is 4x faster

than Openflow when syncing a 10,000-row HubSpot Contacts table:
13 minutes with Fivetran vs. 61 minutes with Openflow.

Fivetran is 10x faster

than Openflow when syncing 50GB of TPROC-C data from PostgreSQL: 12 minutes with Fivetran vs. 113 minutes with Openflow

Results are from Fivetran's internal testing of Fivetran and Openflow.

Fivetran vs. Openflow: Connector comparison

Fivetran provides easy-to-use connectors give you the functionality and flexibility you need

Source
Feature
Openflow
Support for Jira on-premises
Yes
No, only supports cloud
# of Jira entities supported
Only “Issues” entity out-of-the-box
Support for DELETEs
Yes, via Webhooks
Support for OAUTH
Yes
No, basic auth only
Feature
Openflow
# of objects supported
20+ objects supported
Only 9 objects supported
Support for multiple objects per connection?
Yes
No, one NiFi process group needs to be created and maintained per object
Feature
Openflow
Support for schema drift
Fully supported
Supported, but not for PK changes or numeric precision changes
Method of selecting tables for replication
Easy-to-use web GUI
Tables must be typed in manually or with Regex
Method of selecting columns for replication
Easy-to-use web GUI
Columns must be typed in manually or with Regex
Support for CDC options
WAL, XMIN, or Teleport Sync
WAL only
Support for various versions
9.4 through 17
11+, but no support for version 17 on GCP, Aurora, or Azure
Recommended Snowflake warehouse size for ingestion
Extra small
Medium
Support for PK-less tables
Yes
No
Feature
Openflow
Supports breadth of fields
RaaS plus hundreds of Workday HCM tables across Core HCM, HR, Demographics, Personal Qualification, Recruiting, Payroll, Compensation, and more
RaaS only
Support for CDC?
Yes
Support for schema drift?
Yes
Row limitations
No
Yes, max 50k rows
Feature
Openflow
Supported as a source and destination?
Yes
No, source only
Supports various versions
5.5 through 8.4
8.0 or 8.4 only
Supports PK-less tables?
Yes
Supports various datatypes
Virtually all MySQL data types are supported, as documented here
No support for GEOMETRY, GEOMETRYCOLLECTION, LINESTRING, MULTILINESTRING, MULTIPOINT, MULTIPOLYGON, POINT, and POLYGON
Support for schema drift?
Fully supported
No support for precision changes

“Without Fivetran, we would have needed six months to figure out our migration strategy to a new, modern data platform.”

Sreeram Koneru, Director of Analytics Platform Delivery at Pfizer
Database replication
Operational efficiency
Customer story

Pfizer speeds up clinical trials by unlocking real-time data

Read Pfizer’s story

Fivetran helps data teams increase their impact

Unify and standardize all data integration across the organization

Simplify your data architecture with one end-to-end solution that allows you to move and activate all of your business data with 700+ Fivetran connectors and 160+ Census connectors — no manual pipelines or multi-vendor architectures required.

Automate and de-risk pipeline maintenance

Reduce manual overhead with fully managed data pipelines that you set up in minutes, not months — no AWS administrators, Quartz cron syntax, or Apache NiFi expertise required.

Modernize legacy data infrastructure

Modernize your infrastructure and scale to meet current and future use cases with support for Snowflake, data lakes, and lakehouses hosted on AWS, GCP, and Azure — without any legacy coding or architecture limitations.
THE BUSINESS VALUE OF FIVETRAN

A new IDC report validates and demonstrates the customer value and ROI of Fivetran

$
1.5m

Average annual benefit per organization

$
177k

Annual operational cost savings

48
%

More productive data engineers

700+ fully managed connectors

Get Started Now

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Additional resources

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