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Weld vs Keboola vs SnapLogic

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

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Weld vs Keboola vs SnapLogic

FeatureWeldKeboolaSnapLogic
Core Platform
Price
$79 / 5M Active Rows
Credit-based, custom depending on usage
Subscription (connector & usage-based; starts ~$50k/year)
Free tier
No
Yes
No
Location
DK, (EU)
CZ
San Mateo, CA, USA
Connectors & Sync
Connectors
200+
700+
500+
Extract data (ETL)
Yes
Yes
Yes
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Yes
Yes
Yes
Two-Way Sync
Yes
No
Yes
Transformations & AI
Transformations
Yes
Yes
Yes
AI Assistant
Yes
No
Yes
dbt Core Integration
Yes
Yes
No
dbt Cloud Integration
Yes
No
No
Governance & DevOps
Orchestration
Yes
Yes
Yes
Lineage
Yes
Yes
Yes
Version control
Yes
Yes
Yes
On-Premise
No
No
No
OpenAPI / Developer API
Yes
Yes
Yes
Integrations
Load to/from Excel
Yes
Yes
Yes (via Snaps)
Load to/from Google Sheets
Yes
Yes
Yes (Google Sheets Snap)
Ratings
G2 rating
4.8
4.7
4.4

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.

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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

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.

keboola logo

Pros

  • 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

Cons

  • 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

Reviews & Quotes

A user on G2 said::

What I like about Keboola

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.

What I dislike about Keboola

I would require better data transferring. I'd appreciate an improved way to move tables from one data bucket to another.

Overview

SnapLogic in Short

SnapLogic is an Integration Platform as a Service (iPaaS) that supports ETL, ELT, application integration, and API management using its visual Snap-based architecture. It includes 500+ pre-built Snap connectors for SaaS applications, databases, on-prem systems, and big data platforms. Pipelines are designed in a drag-and-drop interface (Snap Studio) and run on a fully managed, autoscaling cloud environment. SnapLogic also provides AI-assisted pipeline building through Iris, its AI recommendation engine.

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Pros

  • 500+ Snap connectors covering SaaS, databases, big data, and on-prem sources.

  • Visual pipeline designer (Snap Studio) with AI-driven suggestions (Iris) for mappings and transformations.

  • Serverless execution with autoscaling and multi-cloud support (AWS, Azure, GCP).

  • Supports both batch and real-time streaming integrations.

Cons

  • Premium pricing can be costly for smaller organizations.

  • Designer UI may feel cluttered in very large pipelines, with occasional performance slowdowns.

  • Limited self-hosted options; primarily a SaaS platform.

Reviews & Quotes

Gartner Peer Review:

What I like about SnapLogic

Overall I was able to create pipelines required easily to migrate and fill data manually, which helped me a lot and improved my performance.

What I dislike about SnapLogic

During development random bugs are appearing and there is mismatch with documentation.

Feature-by-Feature Comparison

Feature
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snaplogic logo

Ease of Use & Interface

Side-by-side

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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.

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.

snaplogic logo

SnapLogic’s Snap Studio offers a visual, drag-and-drop experience for building pipelines, with Iris AI suggesting mappings and transformations. While intuitive for most workflows, very large pipelines may feel crowded or slower to navigate.

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.

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.

snaplogic logo

SnapLogic typically starts at around $50k per year for standard usage. Its pricing model based on connectors, features, and usage is aimed at mid-market and enterprise teams rather than smaller organizations.

Feature Set

Side-by-side

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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.

keboola logo

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

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Core features include 500+ Snaps, batch and streaming pipelines, AI-assisted design, API management, monitoring, multi-cloud deployment, and built-in data quality components.

Flexibility & Customization

Side-by-side

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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.

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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.

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SnapLogic supports custom Snaps built in JavaScript or Python, parameterized pipelines, REST-triggered executions, and CI/CD integration. As a SaaS-only offering, it lacks fully self-hosted runtime options but provides strong extensibility within its cloud environment.

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