Every project & field
Pull the full Workfront data model - projects, tasks, issues, time, and resources - not just a fixed preset, so your delivery reports are never missing a field.
Workfront
Workfront
Project ManagementDataddo extracts the full Workfront data set - projects, tasks, issues, time, resources - and delivers it wherever your team needs it: into AI tools and agents, your warehouse like Snowflake and BigQuery, BI dashboards, and back into your CRM and ops tools. Blend it with finance and CRM data, backfill full history, and keep it fresh on your schedule - all fully managed, with the data plane running where you choose. No pipelines to build, no lock-in.
YOUR DELIVERY SOURCE OF TRUTH
Turn Workfront into delivery reporting your whole team trusts
Project data is only useful when it's complete, clean, and current. Dataddo extracts the full Workfront data model, governs it, and serves it to every warehouse, dashboard, AI tool, and downstream system - continuously and without manual exports.
Blend with finance & CRM
Combine Workfront with your finance and CRM data so delivery, resourcing, and profitability analytics live in one place.
Backfill full history
Load historical Workfront data beyond the platform's export limits, so throughput, cycle-time, and utilization analysis holds up.
Model & clean before load
Normalize statuses, labels, and owner names, and let the Data Quality Firewall stop bad rows before Workfront data reaches your reports.
Fresh on your schedule
Incremental, scheduled syncs keep Workfront data current - as often as hourly - without manual exports or full reloads.
Governed & monitored
Delivery alerts and quality checks catch gaps in Workfront data early, so delivery dashboards never silently break.
DATASETS
What you can pull from Workfront
The Workfront connector provides a list of curated datasets - ready-made sets of records, fields, and metrics you can extract on a schedule. Need something specific? Any dataset can be forked and customized, or built from scratch, with our Universal Connector.
List of curated datasets
Idid
string
Namename
string
Object Codeobj_code
string
Percent Completepercent_complete
float
Planned Completion Dateplanned_completion_date
datetime
Planned Start Dateplanned_start_date
datetime
Projected Completion Dateprojected_completion_date
datetime
Prioritypriority
integer
Statusstatus
string
Need a dataset, metric, or attribute you don't see?
Tell us what's missing and we'll add it to the connector.
WITH VS. WITHOUT
Who carries the load when things change
Keep Workfront data flowing to every warehouse, dashboard, and tool - and see who owns it when an API or schema changes:
| Without Dataddo |
With Dataddo
|
Outcome for you | |
|---|---|---|---|
| API or auth change | You discover the breakage and scramble to fix it. | We update the connector and restore the pipeline - often before you notice. | Syncs from Workfront keep flowing |
| Schema drift | Columns change and pipelines break or corrupt data silently. | Detected automatically and handled by configurable rules. | Only clean Workfront data lands in reports |
| Endpoint deprecated | You re-engineer the integration. | We own the update - the data contract holds. | Your Workfront reporting keeps working |
| Missing connector | You build and maintain a custom integration. | We build it and maintain it, under a ~4-week SLA. | Any Workfront data you need, on request |
| Silent degradation | You find out when a report or model run fails. | Proactive monitoring catches anomalies and delays first. | Gaps caught before dashboards break |
| Debugging | You dig through logs across disconnected tools. | Run histories, payload inspection, and end-to-end lineage in one place. | Faster root-cause, fewer reporting gaps |
Data residency by design
Choose where Workfront data is processed - same cloud, region, or sovereign
Workfront is a cloud API, so the question isn't on-prem vs cloud - it's which region your data flows through. With Dataddo you run the data plane in the region you choose, so Workfront payloads move straight to your destinations without transiting a third-party SaaS. Pin it to an EU or US region for compliance, or self-host when a downstream target lives inside your own network.
| Data Plane location | Typical data sensitivity | Why this setup |
|---|---|---|
|
Public cloud 
AWS
Microsoft Azure
Google Cloud
|
Low to moderate - general business, marketing, and product data; sources that are already cloud-native. | Fastest to stand up and scales elastically. Best when the data has no residency restriction and often already lives in the same public cloud. |
|
Regional & EU sovereign clouds
EU sovereign clouds
Regional providers
Private cloud
|
Regulated / residency-bound - PII, financial, and health data governed by GDPR or local law. | Keeps processing inside a specific jurisdiction to meet data-residency and sovereignty rules, while still running as managed infrastructure. |
|
On-premises 
Kubernetes
Red Hat OpenShift
VMware Tanzu
|
Highly sensitive / restricted - data that contractually or legally cannot leave the corporate perimeter. | Data never leaves your network. Required for air-gapped, classified, or locked-down environments; the Control Plane still manages it via metadata only. |
DATA DELIVERY
Every way to deliver Workfront data
Project data rarely has one home. Dataddo feeds Workfront into AI and agents, loads it into your warehouse for delivery and resource analytics, syncs status back into CRM and ops tools, and delivers files to storage - all governed the same way.
| Transport type | What it does | Typical destinations | Typical business use cases |
|---|---|---|---|
| Data to AI & Agents | Feed Workfront data into vector databases, LLMs, and AI agents so delivery copilots can reason over your projects. | Load Workfront projects and tasks into vector stores for retrieval-augmented delivery assistants, Give AI agents and copilots governed access to live Workfront project data | |
| ETL / ELT to your warehouse | Load Workfront projects and metrics into your warehouse for delivery and resource analytics. | Centralize Workfront alongside finance and CRM data in Snowflake, BigQuery, or Redshift, Backfill Workfront history for throughput and utilization analysis | |
| Sync back to CRM & ops | Push project status and modeled records built from Workfront data back into CRM and ops systems. | Sync project status and delivery dates from Workfront to your CRM, Keep Workfront project data aligned across planning and ops tools | |
| Files to storage & partners | Deliver raw or modeled Workfront extracts to object storage and partners. | Archive raw Workfront exports to S3, GCS, or Azure storage, Send scheduled Workfront extracts to partners over SFTP |
Claude
OpenAI
Gemini
Mistral AI
Snowflake
BigQuery
Amazon Redshift
PostgreSQL
Salesforce
HubSpot
Monday
Google Sheets
Google Cloud Storage
Azure Blob Storage
SFTP
Case Studies
See what delivery and data teams build with Dataddo
65,000 Social Media Accounts. One Platform. Zero Manual Authorizations.
Beauty & Consumer Goods
How Livesport Activates Data, Saves Engineering Resources with BigQuery and Dataddo
Entertainment
How ID&T Group Activates Data from 1M+ Festival Fans and Dozens of Social Accounts
Entertainment
How Sensire Accelerated Migration of a Proprietary On-Premise Data Infrastructure to the Cloud with Dataddo
Healthcare
How Ringside.ai Builds a Data Product Better and Faster Using Dataddo
Marketing
How Publicis Groupe Brasil Uses Dataddo's API to Scale a Data Product
Advertising
FAQ
Workfront as a source + Dataddo, answered
Where can I send Workfront data?
To any of Dataddo's 150+ destinations - warehouses like Snowflake and BigQuery, BI dashboards, CRMs and marketing tools, object storage, and AI or vector stores - plus custom destinations on request.
Do I have to maintain the pipeline?
No. Dataddo is fully managed: we maintain the Workfront connector, adapt to API and schema changes, and alert you if anything needs attention. There is no pipeline code for you to write or fix.
Can I report on delivery and resourcing across tools?
Yes. Dataddo loads Workfront projects and time data into Snowflake, BigQuery, or Redshift, blended with your finance and CRM data, so delivery, utilization, and project-profitability reporting works without manual exports.
What if Workfront changes their API?
That's on us, not you. Dataddo's team proactively tracks Workfront API and schema changes and updates the connector before they break your pipeline. Continuous monitoring watches every sync, and if anything needs attention you get an alert - so your Workfront data keeps flowing without you touching a thing.
Which Workfront data and fields are available?
The full Workfront data model - projects, tasks, issues, time, and resources - not a fixed subset. If a field you need isn't exposed yet, we add it on request, usually at no extra cost.
How is my data secured?
Dataddo is SOC 2 Type II and ISO 27001 certified. Data is encrypted in transit and at rest, PII can be masked or hashed, and EU or US data residency is available. Self-host the data plane and payload data never leaves your network.
Will API rate limits be a problem?
Dataddo handles Workfront pagination, rate limits, and retries for you, and pulls incrementally on a schedule so you stay within API quotas without impacting your source.
Am I locked in?
No. Pipelines are source- and destination-agnostic - you can add or switch destinations without rebuilding, and data lands in native formats you own.