Weld vs Hevo vs Keboola

FeatureWeldHevoKeboola
Core Platform
Starting price
From $99/mo (flat)
Starts at $299/month for 5M events
Credit-based, custom depending on usage
Free tier
Free trial
Yes
Yes
Connectors
300+
150+
700+
Deployment
SaaS
SaaS
SaaS
Connectors & Sync
Data ingestion (ELT)
Yes
Yes
Yes
Reverse ETL
Yes
No
Yes
Fastest sync frequency
1 min
5 min
5 min
Replication & CDC
Full refresh
Yes
Yes
Yes
Incremental
Yes
Yes
Yes
Log-based CDC
Yes
Yes
No
History tables (SCD)
Yes
No
No
Transformations
Transformations
Yes
Yes
Yes
dbt Core
Yes
Yes
Yes
dbt Cloud
Yes
No
No
AI & Agent Support
Agent API
Connect API
No
No
MCP server
Yes
No
No
CLI
Yes
No
Yes
REST / OpenAPI
Yes
Yes
Yes
Orchestration & Governance
Orchestration
Yes
No
Yes
Data lineage
Yes
No
Yes
Version control
Yes
No
Yes
Audit logs
Yes
Yes
Yes
Ratings
G2 rating
4.8
4.3
4.7

Weld in Short

Weld is a data pipeline and activation platform built for teams that need reliable ingestion, dbt-powered transformations, and data for AI agents and applications. Its Connect API gives agents and applications programmatic access to data pipelines. With 300+ in-house-built connectors, first-class dbt Core and dbt Cloud support, and near real-time syncs, Weld lets teams move data from any source into their cloud data warehouse and activate it back into business tools.

What Weld does well

  • Agent-native platform with Connect API for programmatic access
  • First-class dbt Core and dbt Cloud integration
  • ELT and reverse ETL in one platform
  • Lineage, orchestration, and workflow features included by default
  • Flat, predictable monthly pricing (MAR-based)
  • 300+ in-house–built, high-quality connectors
  • Handles large datasets and near real-time data sync

Where Weld falls short

  • 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

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.

— G2 review of Weld · Read review

Hevo in Short

Hevo is a cloud-based platform for data integration and pipeline automation. It helps organizations consolidate data from SaaS apps, databases, cloud storage, and more into a data warehouse. While it emphasizes ease of use and supports ELT workflows, Hevo lacks certain advanced features like reverse ETL, extensive orchestration, and deep customization options, which may limit its utility for complex data operations.

What Hevo does well

  • Supports ETL and ELT workflows
  • User-friendly interface ideal for non-technical users
  • Includes a broad selection of fully managed connectors
  • Offers affordable pricing with a free tier

Where Hevo falls short

  • No support for reverse ETL workflows
  • Limited options for advanced custom scheduling
  • Lacks orchestration and lineage features
  • Minimal support for version control or complex transformations

Hevo is really good for standard pipelines, but it has some limitations for more complex use cases.

— G2 review of Hevo · Read review

Keboola in Short

Keboola is a cloud-based data operations platform that enables teams to ingest, transform, orchestrate, and manage data pipelines end-to-end. It combines no-code components with support for SQL, Python, and R, and offers a large library of pre-built connectors. Keboola also includes governance features such as versioning, audit logs, and project-level cost tracking. While the platform is flexible and powerful, its modular structure and interface can feel complex for simpler ETL needs.

What Keboola does well

  • Large number of components and connectors
  • Supports custom components with an API-first approach
  • Supports ELT, ETL, and Python/SQL/R-based transformations
  • Strong governance features such as audit logs and versioning

Where Keboola falls short

  • UI can feel complex and overwhelming for new users
  • Orchestration features are functional but not as advanced as dedicated orchestration tools
  • Credit-based pricing can become expensive for growing workloads
  • Smaller community compared to larger ETL platforms

What I like most is that Keboola is a very simple tool, allowing even a single person to manage the data pipelines of a large company."

— G2 review of Keboola · Read review

Feature-by-Feature Comparison

Feature
weld logo
Hevo logo
keboola 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.

Hevo logo

Hevo’s simple UI and code-free interface make it highly approachable for non-technical teams looking to build data pipelines quickly.

keboola logo

Keboola provides a powerful environment, but the UI can feel complex due to the large number of components and configuration options, making onboarding harder for beginners.

Pricing & Affordability

Side-by-side

weld logo

Weld offers a simple and predictable pricing model starting at $99 for 5 million active rows. This flat, MAR-based structure makes budgeting straightforward for small and medium-sized teams.

Hevo logo

Hevo offers clear, tiered pricing and a generous free tier, but costs can rise quickly with increased event volume or more advanced usage.

keboola logo

Keboola uses a credit-based pricing model, which offers flexibility but can become costly as workloads scale, especially for users unfamiliar with optimizing credit consumption.

Feature Set

Side-by-side

weld logo

Weld provides ELT ingestion, dbt-powered transformations, reverse ETL activation, data lineage, orchestration, and workflow management in a single platform. Its Connect API enables AI agents and applications to access and orchestrate data programmatically.

Hevo logo

Hevo supports both ETL and ELT, includes a wide range of connectors, and integrates with dbt Core. However, it lacks reverse ETL, advanced orchestration, and granular pipeline control.

keboola logo

The platform includes extensive functionality: connectors, transformations in multiple languages, orchestration, governance tools, and reverse ETL. It is suitable for advanced data teams managing complex pipelines.

Flexibility & Customization

Side-by-side

weld logo

Users can model data using dbt or SQL, automate workflows via the Connect API, and build custom connectors to any API. This provides strong flexibility for teams that want to tailor integrations and enable agent-driven data workflows within one platform.

Hevo logo

Hevo is built for ease of use, but its limited customization and lack of developer-focused features may not suit advanced or highly bespoke data workflows.

keboola logo

Keboola is highly customizable, offering an API-first design and the ability to build custom components, though this flexibility requires strong knowledge of the platform and its architecture.