What I like about Airbyte
“If you don't have workloads that currently use DBT or fit well into that model, this probably isn’t the tool for you.”
You’re comparing Airbyte vs Skyvia vs Weld. Explore how they differ on connectors, pricing, and features.

Loved by data teams from around the world
| Weld | Airbyte | Skyvia | |
|---|---|---|---|
| Connectors | 200+ | 350+ | 70+ |
| Price | $99 / 5M Active Rows | $2.50/credit (one million rows = 6 credits; 1 GB = 4 credits) | Free (limited); paid plans from $15/month for 10k rows |
| Free tier | |||
| Location | EU | US | San Francisco, 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 Excel | Yes (CSV/Excel imports) | ||
| Load to/from Google Sheets | |||
| Two-Way Sync | |||
| dbt Core Integration | |||
| dbt Cloud Integration | |||
| OpenAPI / Developer API | |||
| G2 rating | 4.8 | 4.2 | 4 |
Overview
An open-source data integration platform, Airbyte is a popular choice for those building a modern data stack. Airbyte boasts its collection of ELT connectors as well as the ability to build custom ones in the platform, a differentiator from other no-code ELT tools. Because building custom pipelines requires coding knowledge, this special feature will only benefit data specialists with solid coding abilities.
Airbyte is built to work well with DBT and SQL, so this is an important thing to note before deciding to use the tool.
Open-source platform
A really large number of connectors and destinations
Easy deployment
Managed cloud option
Engineering-focused with advanced options to build your own connectors and features
Has both ELT and Reverse ETL options
Large community
More suited for advanced teams
Require more maintenance
The quality of connectors can vary because of open-source
High dependence on community
In a review from Confessions of a Data Guy, he shares::
“If you don't have workloads that currently use DBT or fit well into that model, this probably isn’t the tool for you.”
Overview
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.

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.
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.
G2 Reviews:
“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.”
“While Skyvia is powerful, sometimes more advanced transformation scenarios require workarounds or can't be fully implemented within the visual designer.”
Overview
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.
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
Requires some technical knowledge around data warehousing and SQL
Limited features for advanced data teams
Focused on cloud data warehouses
A reviewer on G2 said:
“Weld is still limited to a certain number of integrations - although the team is super interested to hear if you need custom integrations.”


Side-by-side
Airbyte is an open-source platform that is easier for teams with strong coding skills but may be challenging for those without technical expertise, especially when building custom connectors.

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.
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.
Side-by-side
Airbyte is an open-source platform that is easier for teams with strong coding skills but may be challenging for those without technical expertise, especially when building custom connectors.
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.
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.
Side-by-side
Airbyte offers a flexible pricing model based on credits, but costs can add up depending on data volume, making it more suitable for teams that can optimize their usage.

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.
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.
Side-by-side
Airbyte offers a flexible pricing model based on credits, but costs can add up depending on data volume, making it more suitable for teams that can optimize their usage.
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.
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.
Side-by-side
The platform supports a large number of connectors and destinations and is designed to work well with DBT and SQL, providing robust options for teams building a modern data stack.

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.
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.
Side-by-side
The platform supports a large number of connectors and destinations and is designed to work well with DBT and SQL, providing robust options for teams building a modern data stack.
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.
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.
Side-by-side
Airbyte's open-source nature and customization options make it highly flexible for teams with the capability to maintain and build on the platform, but this flexibility comes with a higher maintenance burden.

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.
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.
Side-by-side
Airbyte's open-source nature and customization options make it highly flexible for teams with the capability to maintain and build on the platform, but this flexibility comes with a higher maintenance burden.
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.
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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