Weld logo

DATA EXTRACTION

Extract and load data from all your sources to your warehouse.

300+ prebuilt connectors, battle-tested with more than 150,000 daily syncs. Incremental, full and CDC replication — all managed, all reliable.

pipeline_dashboard
6 active
live
PIPELINESTATUS
shopify_ordersshopify_orders
5 min
hubspot_contactshubspot_contacts
15 min
stripe_paymentsstripe_payments
5 min
postgresql_userspostgresql_users
real-time
facebook_ad_insightsfacebook_ad_insights
1 hr
salesforce_leadssalesforce_leads
15 min
total rows 847,293uptime 99.9%
150K+ daily syncs

Loved by data teams from around the world

FEATURES

Everything you need for reliable data extraction

From connecting sources to monitoring pipelines — explore each capability of Weld's extraction platform.

SOURCES
ShopifyShopify
HubSpotHubSpot
StripeStripe
SalesforceSalesforce
FacebookFacebook
ELT
DESTINATIONS
BigQueryBigQuery
SnowflakeSnowflake
DatabricksDatabricks
Pipeline Health
All systems healthy
6 pipelines
RECENT EVENTS
stripe

Schema change

stripe

Auto-migrated
facebook-ads

Rate limited

facebook-ads

Auto-retried
hubspot-v2

Token refresh

hubspot-v2

Refreshed
uptime 99.9%self-healing enabled
Notifications
WARNINGstripe2m ago

Schema change detected

New column added to stripe_payments

ERRORhubspot-v28m ago

Sync failed

hubspot_contacts authentication expired

SUCCESS15m ago

All pipelines healthy

6 pipelines synced — 847k rows

WARNINGfacebook-ads22m ago

Rate limit reached

facebook_ad_insights auto-retry in 60s

3 channels configuredreal-time
Replication Settings
INCREMENTAL

Only new & changed rows

5 min – daily
FULL

Complete replacement

Full sync at midnight
APPEND

Insert-only, never update

Event streams & logs
CDC

Real-time streaming

Near-zero latency
History tables enabled
Full audit trail
Sync History
1 Day1 Week
Total sync jobs

189,983

Success rate

99.9%

Period

30 Days

00:0006:0012:0018:00Now
data_sourcedatabasepageuser
data_source00:021,204 rows3.08 KB
database00:05847 rows12.4 KB
page00:1124,891 rows1.2 MB
user00:03312 rows0.9 KB
Orchestration
Enabled
Schedule

Every hour (UTC)

Last run

Success · 3m 58s

Tables

21 successful

shopify

At 00:00 (UTC)

shopify

stripe

Incremental

stripe

hubspot

Incremental

hubspot

google_analytics

At 00:00 (UTC)

google_analytics

facebook_ads

At 00:00 (UTC)

facebook_ads

orders

shopify

orders

products

shopify

products

customers

shopify

customers

charges

stripe

charges

refunds

stripe

refunds

contacts

hubspot

contacts

sessions

google_analytics

sessions

ad_insights

facebook_ads

ad_insights

raw.shopify

orders

raw.shopify

products

raw.shopify

customers

raw.stripe

charges

raw.stripe

refunds

raw.hubspot

contacts

raw.google_analytics

sessions

raw.facebook_ads

ad_insights

staging.shopify

stg_orders

staging.shopify

stg_customers

staging.stripe

stg_payments

staging.hubspot

stg_contacts

staging.analytics

stg_sessions

staging.marketing

stg_ad_spend

core.ecommerce

fct_orders

core.finance

fct_revenue

core.ecommerce

dim_customers

core.marketing

fct_acquisition

product.reporting

daily_revenue

product.reporting

customer_ltv

product.marketing

channel_roas

CUSTOMER STORIES

The latest success stories from data-driven companies

Jacob Poulsen, Head of Marketing Expansion at Flatpay logo

How Flatpay optimized marketing efficiency with Weld

One of the biggest impacts has been unlocking new ways to buy media. Before, we didn’t have the data to back up strategic decisions – now we do.
Jacob Poulsen, Head of Marketing Expansion at Flatpay
Rodrigo Andres Valle, Data Engineer at Holafly logo

How Holafly transformed data management and scaled globally with Weld

Before Weld, we had to rely on custom Python scripts and manual processes that were time-consuming and error-prone.
Rodrigo Andres Valle, Data Engineer at Holafly
Michael Howes, Head of Data & Insights at Dishoom logo

How Dishoom scaled data operations without scaling its team

We’re still a team of three, but we’re often doing far more than the equivalent of three full-time employees. That’s down to how we're able to leverage systems, data, and processes.
Michael Howes, Head of Data & Insights at Dishoom
Sven Hasenberg, CFO, VitaMoment logo

Inside VitaMoment’s Journey to KPI-Driven Growth and Data Ownership

We’ve always been a KPI-driven company. But we wanted to scale that mindset across every team member, every team, every decision.
Sven Hasenberg, CFO, VitaMoment
Temur Makhsudov, Head of BI and Operations logo

How Danish Endurance boosted profitability by 77 % and transformed data management with Weld

Before Weld, our data infrastructure was limited and we relied heavily on Excel files and custom Python scripts.
Temur Makhsudov, Head of BI and Operations
Matias Voldby Drejer, BI Lead logo

How Female Invest centralized data management and saved resources with Weld

Weld has saved us a ton of time, from not having data ready to having a fully functional data warehouse and connectors.
Matias Voldby Drejer, BI Lead
Jonas Iversen, Tech Lead Data logo

How Soundboks streamlined data integration with Weld, S3, and Databricks

By integrating Weld, Amazon S3, and Databricks, Soundboks built a modern data pipeline that automates data ingestion, improves reporting, and provides up-to-date visibility into sales performance
Jonas Iversen, Tech Lead Data
Jens Karstoft, Chief Operating Officer at Roccamore logo

How Roccamore unlocked better business insights with Weld

We didn’t have a good data setup, so we lacked the business insights we needed. Weld has allowed us to set up a structured data infrastructure and access insights quickly.
Jens Karstoft, Chief Operating Officer at Roccamore

Get started with Weld

Spend less time managing data and more time getting real insights.