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Weld vs Blendo vs Improvado

You’re comparing Weld vs Blendo vs Improvado. Explore how they differ on connectors, pricing, and features. Ed Logo

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Weld vs Blendo vs Improvado

FeatureWeldBlendoImprovado
Core Platform
Price
$79 / 5M Active Rows
Plans start around $100/month (varies by connectors and sync frequency)
Custom
Free tier
No
Yes
No
Location
DK, (EU)
Sofia, Bulgaria (HQ) + USA
US
Connectors & Sync
Connectors
200+
30+
500+
Extract data (ETL)
Yes
Yes
Yes
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Yes
No
No
Two-Way Sync
Yes
No
No
Transformations & AI
Transformations
Yes
No
Yes
AI Assistant
Yes
No
Yes
dbt Core Integration
Yes
No
No
dbt Cloud Integration
Yes
No
No
Governance & DevOps
Orchestration
Yes
Yes
No
Lineage
Yes
No
No
Version control
Yes
No
No
On-Premise
No
No
No
OpenAPI / Developer API
Yes
No
No
Integrations
Load to/from Excel
Yes
No
No
Load to/from Google Sheets
Yes
No
No
Ratings
G2 rating
4.8
4.3
4.5

Overview

Weld in Short

Weld is a unified ELT and data activation platform that combines ingestion, modeling, transformations, orchestration, lineage, and reverse ETL in a single SaaS interface. With premium in-house–built connectors, an intuitive UI, and near real-time syncs, Weld enables both technical and non-technical users to create and manage data workflows efficiently. Weld also includes an AI assistant to support SQL modeling, generate transformations, and streamline repetitive tasks. Teams can ingest data from a wide range of sources—including marketing platforms, CRMs, databases, Google Sheets, Excel, and APIs—into their cloud data warehouse and activate it back into business tools.

weld logo

Pros

  • Lineage, orchestration, and workflow features included by default

  • Handles large datasets and near real-time data sync

  • ELT and reverse ETL in one platform

  • User-friendly interface with minimal setup required

  • Flat, predictable monthly pricing model

  • 200+ in-house–built, high-quality connectors

  • AI assistant for modeling and transformations

Cons

  • Some SQL knowledge is useful for advanced modeling

  • Optimized for cloud-warehouse workflows (Snowflake, BigQuery, Redshift, etc.)

  • Feature set is streamlined for modern ELT/activation use cases

Reviews & Quotes

A reviewer on G2 said:

What I like about Weld

Weld’s graphical interface is intuitive and easy to work with, even for teams with limited SQL experience. Its flexibility across sources—from databases to Google Sheets and APIs—made onboarding smooth, and performance across larger workloads was consistently strong. Support was responsive and helpful throughout our setup and ongoing use.

Overview

Blendo in Short

Blendo is a cloud-based ETL service focused on collecting data from SaaS tools, particularly marketing, analytics, and CRM platforms and loading it into data warehouses and BI tools. It offers quick setup, automated schema updates, and analytics-ready data models designed for business teams.

blendo logo

Pros

  • Fast setup for popular marketing, CRM, and product analytics connectors.

  • Supports incremental syncs and automatic schema updates.

  • Provides analytics-ready metrics models (e.g., MRR, CAC) and optional pre-built dashboards.

Cons

  • Narrow connector catalog focused mainly on marketing and analytics tools.

  • Only basic transformation support—complex transformations require warehouse or BI tooling.

  • Pricing increases with more connectors or higher sync frequency.

Reviews & Quotes

Blendo Pricing:

What I like about Blendo

Blendo’s turnkey dashboards and consolidated metrics saved us weeks of manual work—data from all our marketing tools was in BigQuery overnight.

What I dislike about Blendo

Limited customization: cannot define complex transformation logic beyond basic mappings and formatting.

Overview

Improvado in Short

Improvado is an AI-powered marketing analytics platform that automates data integration, transformation, and reporting. It connects to over 500 marketing, sales, and analytics platforms, offering a fully managed data pipeline and AI Agents for campaign governance, insights, and reporting.

improvado logo

Pros

  • 500+ pre-built data connectors

  • Advanced AI Agents for campaign governance and reporting

  • Supports enterprise-grade transformations

  • Custom integration with any API via AI sandbox

  • Managed data warehouses and BI dashboard compatibility

Cons

  • Pricing is custom and may be expensive for small teams

  • AI Agent features are add-ons

  • No native Excel or Sheets sync

Reviews & Quotes

A reviewer on G2:

What I like about Improvado

Improvado has been surprisingly easy to use. Within just a few clicks we have been able to integrate all our media platforms into our datalake. The numerous in-depth guides make this process very easy.

Feature-by-Feature Comparison

Feature
weld logo
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improvado logo

Ease of Use & Interface

Side-by-side

weld logo

Weld’s interface is built for clarity and speed, enabling users with varying levels of technical experience to manage data pipelines and models efficiently. Its built-in lineage and orchestration tools provide transparency across workflows.

blendo logo

Blendo provides a simple UI where users authenticate connectors, select objects, and schedule syncs. It's designed for non-technical users who need analytics-ready data with minimal configuration.

improvado logo

Improvado features a clean UI and guided setup, making it easy to extract, transform, and load data from various marketing platforms. Users can explore APIs via natural language using the AI Agent.

Pricing & Affordability

Side-by-side

weld logo

Weld offers a simple and predictable pricing model starting at $79 for 5 million active rows. This flat, usage-transparent structure makes budgeting straightforward for small and medium-sized teams.

blendo logo

Pricing typically starts around $100/month for a limited number of sources and scheduled syncs. Additional connectors and higher-frequency syncs increase the cost. The free tier supports limited testing.

improvado logo

Improvado’s pricing is custom and varies by data volume, sync frequency, and add-on features. While potentially costly, it's suited to enterprise use cases requiring robust data infrastructure.

Feature Set

Side-by-side

weld logo

Weld provides ELT ingestion, SQL-based transformations, reverse ETL activation, data lineage, orchestration, and workflow management in a single platform. Its AI assistant accelerates modeling and transformation tasks.

blendo logo

Blendo offers SaaS connectors, incremental syncs, automated schema handling, optional metrics models, and pre-built dashboards for common analytics use cases. It does not include a full transformation engine.

improvado logo

The platform includes a complete ELT pipeline, campaign governance, marketing data transformation, and AI-powered reporting. It supports custom integrations and harmonization via no-code tools.

Flexibility & Customization

Side-by-side

weld logo

Users can model data using SQL enhanced by Weld’s AI assistant, automate workflows, and build custom connectors to any API. This provides strong flexibility for teams that want to tailor integrations and transformations within one platform.

blendo logo

Supports simple field mappings and offers a SQL-based post-load transformation option, but lacks scripting or complex transformation workflows. Best suited for straightforward analytics pipelines.

improvado logo

Improvado is highly flexible, with the ability to integrate with any API via AI Agents and sandbox testing. It offers deep customization in pipelines and dashboards for large-scale marketing operations.

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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

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