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Weld vs FME vs SnapLogic

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

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Weld vs FME vs SnapLogic

FeatureWeldFMESnapLogic
Core Platform
Price
$79 / 5M Active Rows
FME Desktop ~$2,000+/year per seat; FME Server per-core (custom pricing)
Subscription (connector & usage-based; starts ~$50k/year)
Free tier
No
No
No
Location
DK, (EU)
Surrey, BC, Canada
San Mateo, CA, USA
Connectors & Sync
Connectors
200+
450+
500+
Extract data (ETL)
Yes
Yes
Yes
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Yes
No
Yes
Two-Way Sync
Yes
No
Yes
Transformations & AI
Transformations
Yes
Yes
Yes
AI Assistant
Yes
No
Yes
dbt Core Integration
Yes
No
No
dbt Cloud Integration
Yes
No
No
Governance & DevOps
Orchestration
Yes
Yes
Yes
Lineage
Yes
No
Yes
Version control
Yes
No
Yes
On-Premise
No
Yes
No
OpenAPI / Developer API
Yes
Yes
Yes
Integrations
Load to/from Excel
Yes
Yes (Excel reader/writer)
Yes (via Snaps)
Load to/from Google Sheets
Yes
No
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

FME in Short

FME (by Safe Software) is a data integration and transformation platform with a strong focus on spatial and GIS data. It also supports a wide range of non-spatial ETL through a graphical workspace. With support for over 450 formats and applications, FME is well-suited for organizations needing advanced spatial transformations, validation, and complex data workflows.

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Pros

  • Supports 450+ data formats, including extensive GIS, CAD, database, and file types.

  • Graphical Workbench with a large transformer library for spatial and non-spatial transformations.

  • FME Server adds automation, scheduling, job orchestration, REST APIs, and distributed processing.

  • Built-in data validation and quality tools, enabling conditional checks and notifications.

Cons

  • Licensing costs for FME Desktop and FME Server can be high, especially for small organizations.

  • Primarily optimized for spatial workflows; non-spatial ETL is supported but not the main focus.

  • Complex workspaces can become visually cluttered and require experience to manage efficiently.

Reviews & Quotes

FME Product Overview:

What I like about FME

FME’s ability to handle complex spatial transformations and 450+ formats is unmatched. The drag-and-drop workspace builder drastically speeds up geospatial ETL.

What I dislike about FME

Licensing can be expensive for smaller organizations. Focus on spatial means some general ETL features are less polished than GIS-specific functions.

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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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.

fme logo

FME Workbench offers a desktop UI for visually designing data flows using Readers, Writers, and Transformers. It is powerful for spatial data but can become cluttered when handling large, complex pipelines.

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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

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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.

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FME Desktop licensing typically starts around $2,000 per year. FME Server is licensed per core and can exceed $20k per core annually, making it more suitable for mid-sized and enterprise GIS teams.

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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.

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Supports 450+ formats, spatial and non-spatial transformations, workflow orchestration via FME Server, event- or schedule-based automation, REST APIs, and strong validation capabilities.

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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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Users can embed Python, R, or Shell scripts for advanced logic. FME Server supports deployment on-prem or in cloud environments and scales horizontally. Data lineage and cataloging are not built in and require separate systems.

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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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CUSTOMER STORIES

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Jacob Poulsen, Head of Marketing Expansion at Flatpay logo

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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.
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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.
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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.
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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.
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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
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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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