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Comparing Skyvia with SnapLogic and Weld

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

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Weld vs Skyvia vs SnapLogic

WeldSkyviaSnapLogic
Connectors200+70+500+
Price$99 / 5M Active RowsFree (limited); paid plans from $15/month for 10k rowsSubscription (connector & usage-based; starts ~$50k/year)
Free tier
LocationEUSan Francisco, CA, USASan Mateo, CA, USA
Extract data (ETL)
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Transformations
AI Assistant
On-Premise
Orchestration
Lineage
Version control
Load to/from ExcelYes (CSV/Excel imports)Yes (via Snaps)
Load to/from Google SheetsYes (Google Sheets Snap)
Two-Way Sync
dbt Core Integration
dbt Cloud Integration
OpenAPI / Developer API
G2 rating4.844.4

Overview

Skyvia in Short

Skyvia is a cloud-based data integration platform that lets users perform ETL, ELT, data replication, backup, and synchronization without coding. It supports over 190 data sources, including CRMs, marketing tools, cloud apps, and databases, and can load data into major cloud warehouses like Snowflake, BigQuery, Redshift, and Azure Synapse. With a browser-based interface, users can build and schedule data pipelines, automate workflows, and monitor tasks with detailed logging and alerts. Skyvia also offers backup and restore for cloud apps, visual SQL queries, and API publishing, making it a flexible, no-code solution for managing and integrating cloud data.

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Pros

  • Fast, no-code setup for loading data from 70+ sources to warehouses or cloud DBs.

  • Handles incremental loads and can auto-detect schema changes for many sources.

  • Built-in data replication (one-way sync) and backup options for cloud data.

  • Free tier available (limited rows and sources) for basic usage.

Cons

  • No advanced transformation engine—only simple filters, mappings, and formula fields.

  • Pricing based on rows and connectors; high-volume loads can be costly.

  • Support and community resources are limited compared to major ETL vendors.

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.

Overview

SnapLogic in Short

SnapLogic is an Integration Platform as a Service (iPaaS) offering ETL, ELT, and application integration via a visual “Snap” architecture. It includes over 500 Snap connectors for SaaS, on-premises, and big data sources. Pipelines are designed in a drag-and-drop interface (Snap Studio) and executed on a managed platform with autoscaling. SnapLogic also provides AI-driven suggestion features (SnapLogic Iris) to accelerate pipeline creation.

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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 mapping and transformations.

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

  • Supports real-time streaming (buses), batch, and IoT/edge integrations.

Cons

  • Premium pricing (connector-based, usage-based) can be cost-prohibitive for SMBs.

  • Designer interface can become cluttered when pipelines grow large; performance may degrade.

  • Limited offline or self-hosted options; fully SaaS-based.

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 missmatch with documentation

Overview

Weld in Short

Weld is a powerful ETL platform that seamlessly integrates ELT, data transformations, reverse ETL, and AI-assisted features into one user-friendly solution. With its intuitive interface, Weld makes it easy for anyone, regardless of technical expertise, to build and manage data workflows. Known for its premium quality connectors, all built in-house, Weld ensures the highest quality and reliability for its users. It is designed to handle large datasets with near real-time data synchronization, making it ideal for modern data teams that require robust and efficient data integration solutions. Weld also leverages AI to automate repetitive tasks, optimize workflows, and enhance data transformation capabilities, ensuring maximum efficiency and productivity. Users can combine data from a wide variety of sources, including marketing platforms, CRMs, e-commerce platforms like Shopify, APIs, databases, Excel, Google Sheets, and more, providing a single source of truth for all their data.

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Pros

  • Lineage, orchestration, and workflow features

  • Ability to handle large datasets and near real-time data sync

  • ETL + reverse ETL in one

  • User-friendly and easy to set up

  • Flat monthly pricing model

  • 200+ connectors (Shopify, HubSpot, etc.)

  • AI assistant

Cons

  • Requires some technical knowledge around data warehousing and SQL

  • Limited features for advanced data teams

  • Focused on cloud data warehouses

Reviews & Quotes

A reviewer on G2 said:

What I like about Weld

First and foremost, Weld is incredibly user-friendly. The graphical interface is intuitive, which makes it easy to build data workflows quickly and efficiently. Even with little experience in SQL and pipeline management, we found that Weld was straightforward and easy to use. What really impressed me, however, was Weld's flexibility. It was able to handle data from a wide variety of sources, including SQL databases, Google Sheets, and even APIs. The solution also allowed us to customize my data transformations in a way that best suited my needs. Whether I needed to clean data, join tables, or aggregate data, Weld had the necessary tools to accomplish the task. Weld's performance was also exceptional. I was able to run large-scale ETL jobs quickly and efficiently, with minimal downtime via a Snowflake instance and visualization via own-hosted Metabase. The solution's scalability meant that I could process more data without any issues. Another standout feature of Weld was its support. I never felt lost or unsure about how to use a particular feature, as the support team was always quick to respond to any questions or concerns that I had. Overall, I highly recommend Weld as an ETL solution. Its user-friendliness, flexibility, performance, and support make it an excellent choice for anyone looking to streamline their data integration processes. I will definitely be using Weld for all my ETL needs going forward.

What I dislike about Weld

Weld is still limited to a certain number of integrations - although the team is super interested to hear if you need custom integrations.

Feature-by-Feature Comparison

Feature
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Skyvia

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SnapLogic

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Weld

Ease of Use & Interface

Side-by-side

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Skyvia

Skyvia’s wizard-driven UI guides users through connecting source and destination, selecting objects, and scheduling. For basic use cases, it’s extremely quick. Complex pipelines aren’t its focus.

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SnapLogic

SnapLogic’s Snap Studio is a React-based canvas where users drag Snaps (pre-built connectors or transforms) into pipelines. Iris AI suggests mappings and transformations, reducing manual work. However, very large pipelines can slow down.

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Weld

Weld is highly praised for its user-friendly interface and intuitive design, which allows even users with minimal SQL experience to manage data workflows efficiently. This makes it an excellent choice for smaller data teams or businesses without extensive technical resources.

Pricing & Affordability

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Skyvia

Free tier allows up to 5000 rows/day. Paid plans start at $15/month for 10k rows plus $15 per additional 10k rows. For large-scale or continuous replication, costs scale accordingly.

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SnapLogic

SnapLogic’s pricing is typically $50k+ per year for moderate usage; connectors and runtime costs can add up. Large enterprises benefit from the wide connector catalog and AI features, but SMBs may find it expensive relative to needs.

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Weld

Weld offers a straightforward and competitive pricing model, starting at $79 for 5 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises.

Feature Set

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Skyvia

Supports: one-time or scheduled imports/exports, incremental loads (via key-based changes), data backup/restore, and firewall-friendly connectors. No transformations beyond mappings/filters.

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SnapLogic

Features include: over 500 Snaps, real-time streaming, batch pipelines, AI-driven pipeline recommendations, multi-cloud deployment, built-in data quality, API management, and robust monitoring/alerting.

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Weld

Weld integrates ELT, data transformations, and reverse ETL all within one platform. It also provides advanced features such as data lineage, orchestration, workflow management, and an AI assistant, which helps in automating repetitive tasks and optimizing workflows.

Flexibility & Customization

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Skyvia

Users can define simple formulas for fields (e.g., concatenation). For advanced transformations, they need external tools (e.g., dbt) after loading. No support for scripting within ETL.

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SnapLogic

SnapLogic allows custom Snaps to be written in Node.js or Python, enabling bespoke connectors or transforms. Pipelines can be parameterized, embedded into CI/CD, and triggered via REST APIs. However, no self-hosted runtime—is fully SaaS.

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Weld

Weld offers advanced SQL modeling and transformations directly within its platform with the help of AI, providing users with unparalleled control and flexibility over their data. Leveraging its powerful AI capabilities, Weld automates repetitive tasks and optimizes data workflows, allowing teams to focus on getting value and insights. Additionally, Weld's custom connector framework enables users to build connectors to any API, making it easy to integrate new data sources and tailor data pipelines to meet specific business needs. This flexibility is particularly beneficial for teams looking to customize their data integration processes extensively and maximize the utility of their data without needing external tools.

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