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Weld vs Estuary (Flow) vs Skyvia

You’re comparing Weld vs Estuary (Flow) vs Skyvia. Explore how they differ on connectors, pricing, and features. Ed Logo

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Weld vs Estuary (Flow) vs Skyvia

FeatureWeldEstuary (Flow)Skyvia
Core Platform
Price
$79 / 5M Active Rows
$0.50/GB consumed + per-connector fee
Free tier; paid plans from ~$15/month for 10k rows
Free tier
No
Yes
Yes
Location
DK, (EU)
US
San Francisco, CA, USA
Connectors & Sync
Connectors
200+
200+
190+
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
Yes
No
AI Assistant
Yes
No
No
dbt Core Integration
Yes
Yes
No
dbt Cloud Integration
Yes
No
No
Governance & DevOps
Orchestration
Yes
Yes
Yes
Lineage
Yes
Yes
No
Version control
Yes
Yes
No
On-Premise
No
Yes
No
OpenAPI / Developer API
Yes
Yes
No
Integrations
Load to/from Excel
Yes
No
Yes (CSV/Excel import/export)
Load to/from Google Sheets
Yes
Yes
No
Ratings
G2 rating
4.8
4.8
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.

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

Estuary (Flow) in Short

Estuary Flow is a real-time ETL/ELT and data integration platform that supports both streaming and batch pipelines. It offers sub-second CDC ingestion, automated schema evolution, and a mix of no-code and low-code connectors. Estuary can deliver data to warehouses, lakes, BI tools, and operational systems, and supports both cloud and bring-your-own-cloud deployments.

estuary logo

Pros

  • Optimized for real-time ingestion using CDC with low-latency streaming.

  • Automated schema evolution and strong data consistency guarantees.

  • 200+ connectors for SaaS apps, databases, and messaging systems.

  • Supports multiple deployment models, including bring-your-own-cloud.

  • Supports SQL and TypeScript for transformation logic.

Cons

  • Consumption-based pricing can become expensive as data volume grows.

  • Connector coverage is expanding but may lack niche or emerging APIs.

  • Smaller community compared to some longstanding open-source tools.

  • More advanced streaming features require technical familiarity.

Reviews & Quotes

Estuary Pricing Page:

What I like about Estuary (Flow)

Estuary’s real-time, no-code model allows pipelines to be set up quickly with minimal maintenance, and the platform’s support team is highly responsive.

What I dislike about Estuary (Flow)

Pricing may be high for smaller teams, and less common connectors sometimes require additional development before they are production-ready.

Overview

Skyvia in Short

Skyvia is a cloud-based, no-code data integration platform that supports ETL/ELT, replication, backup, and synchronization. It provides connectors for 190+ cloud apps, databases, and CRMs, and can load data into major warehouses like Snowflake, BigQuery, Redshift, and Azure Synapse. Skyvia includes features for scheduling pipelines, monitoring runs, logging, and API publishing, making it suitable for light-to-medium data integration needs across cloud systems.

skyvia logo

Pros

  • No-code setup with visual mapping and scheduling.

  • Supports incremental loads and automatic schema updates for many connectors.

  • Includes replication and cloud-app backup/restore features.

  • Free tier available for light usage.

Cons

  • Limited transformation capabilities compared to full ETL tools.

  • Pricing is consumption-based and scales with rows and connectors.

  • Smaller community and fewer advanced resources compared to larger ETL platforms.

Reviews & Quotes

G2 Reviews:

What I like about Skyvia

It just makes pulling Facebook Ads data into Snowflake so much smoother. The whole integration is pretty seamless: it's like we’ve got all our data in one spot now.

What I dislike about Skyvia

While Skyvia is powerful, sometimes more advanced transformation scenarios require workarounds or can't be fully implemented within the visual designer.

Feature-by-Feature Comparison

Feature
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estuary logo
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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.

estuary logo

Estuary offers a clean interface for configuring CDC streams, destinations, and transformations. Most pipelines can be built through no-code connectors, while more advanced logic can be defined using SQL or TypeScript within the Flow editor.

skyvia logo

Skyvia provides a wizard-based UI that makes connecting sources, mapping fields, and scheduling tasks straightforward. It is optimized for simpler SaaS-to-warehouse data movement rather than complex pipeline design.

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.

estuary logo

Estuary includes a free tier with 10 GB per month and a 30-day trial. The consumption-based model provides flexibility but can become costly at high data volumes or for continuous streaming workloads.

skyvia logo

Skyvia uses a row-based consumption model with a free tier for low-volume usage. Paid tiers start at around $15/month for 10k rows and scale with data volume and connectors.

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.

estuary logo

Key capabilities include streaming and batch ETL, CDC with low latency, automated schema evolution, in-stream SQL or TypeScript transformations, dbt compatibility, and support for Kafka-style messaging. It also provides data replay features through persisted storage.

skyvia logo

Key features include ETL/ELT, cloud-app backup and restore, data replication, scheduling, logging, incremental loads, and API publishing. Transformations are limited to simple mappings and formulas.

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.

estuary logo

Users can write custom TypeScript transformations in-stream or use SQL at the destination. Pipelines can be managed through the CLI and integrated with CI/CD processes. Custom connectors can be built using the open-source Flow SDK, providing extensibility beyond the pre-built catalog.

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Skyvia supports field-level formulas and basic transformations, but advanced scripting or custom logic requires external tools. Its design focuses on straightforward cloud-to-cloud integrations.

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