Comparing 5X with Stitch and Weld



What is 5X
Pros
- 500+ connectors for both source and destination (data warehouses, SaaS apps, ad platforms, etc.).
- Includes managed Snowflake/BigQuery warehouse, dbt core integration for transformations, and reverse ETL to push data back to apps—all in one platform.
- Built-in BI layer and semantic metric definitions so you can build dashboards without a separate BI tool.
- Dedicated in-house data experts provide consulting and implementation support, accelerating time-to-value.
Cons
- Premium pricing (Starter ~$500/mo, scaling with connectors/warehouse usage) can be high for small teams.
- Being a newer startup, the community and third-party tutorials are limited; some advanced features are still maturing.
- Heavily opinionated stack—if you use an alternate data warehouse or BI tool, integration can require workarounds.
5X Testimonials:
What I like about 5X
5X’s all-in-one stack reduced our tool sprawl: data ingested, transformed, and even dashboards were live in days. Their in-house experts helped us onboard quickly.
What I dislike about 5X
As a relatively new entrant, some advanced features (e.g., AI-driven pipeline suggestions) are still in beta, and pricing can scale up quickly with heavy usage.
What is Stitch
Pros
- Easy to setup and use
- A cost-friendly pricing model that's easy to understand and based on usage
- Integrates with Talend
- Includes transformations with JSON
- Fully managed no-code ELT data pipelines
Cons
- Require deep technical knowledge to get full value out of the platform
- The quality can vary a lot between different connectors as they are not maintained by Stitch
- Depends on the Singer open source framework which can break without notice
A reviewer on Gartner said::
What I like about Stitch
Stitch is an affordable tool for bringing data "as is" from the various data sources (Google Ads, Salesforce or even MySQL) to a data warehouse (Redshift, Snowflake, BigQuery, etc.)
What I dislike about Stitch
What is Weld
Pros
- Premium quality connectors and reliability
- User-friendly and easy to set up
- AI assistant
- Very competitive and easy-to-understand pricing model
- Reverse ETL option
- Lineage, orchestration, and workflow features
- Advanced transformation and SQL modeling capabilities
- Ability to handle large datasets and near real-time data sync
- Combines data from a wide range of sources for a single source of truth
Cons
- Requires some technical knowledge around data warehousing and SQL
- Limited features for advanced data teams
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
Ease of Use & Interface
5X
5X’s UI guides users through onboard: connect sources, choose warehouse, define dbt models, and build dashboards—all via a low-code interface. Non-technical users can leverage pre-packaged templates, while power users can write custom SQL/dbt.
Stitch
Stitch is relatively easy to set up and use, offering no-code connectors and an affordable pricing model, but users may need deep technical knowledge to leverage its full potential.
Pricing & Affordability
5X
5X offers a Free Forever tier for small usage (limited connectors/rows). The Starter plan (~$500/mo) covers basic use, but costs increase with data volume and connector count. ROI calculations often justify the cost by consolidating multiple tools.
Stitch
Stitch's pricing model is cost-friendly and based on usage, making it accessible for many users. However, costs can increase if data volumes grow significantly.
Feature Set
5X
End-to-end features: ETL ingestion (500+ connectors), managed warehouse provisioning, dbt transformations, reverse ETL, built-in BI/visualization, and a semantic layer. It also includes lineage tracking and API endpoints for data apps.
Stitch
Stitch offers fully managed no-code ELT data pipelines and integrates with Talend, but relies heavily on the Singer open-source framework, which can be less stable.
Flexibility & Customization
5X
While 5X is tightly integrated, it allows custom dbt models, Python UDFs, and can ingest data from arbitrary APIs. If you don’t need the BI layer, you can skip that component. Custom connectors can be built upon request by their team.
Stitch
Stitch is designed for simplicity and ease of use, but customization is limited and dependent on the capabilities of the open-source Singer framework.
Summary of 5X vs Stitch vs Weld
Weld | 5X | Stitch | |
---|---|---|---|
Connectors | 200+ | 500+ | 140+ |
Price | $79 / No data volume limits | Free Forever tier; Starter ~$500/month for limited usage, then scales with volume | $100 / 5M rows |
Free tier | No | Yes | Yes |
Location | EU | Singapore (HQ) + USA, UK, India | US |
Extract data (ETL) | Yes | Yes | Yes |
Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL) | Yes | Yes | No |
Transformations | Yes | Yes | Yes |
AI Assistant | Yes | No | No |
On-Premise | No | No | No |
Orchestration | Yes | Yes | No |
Lineage | Yes | Yes | No |
Version control | Yes | Yes | No |
Load data to and from Excel | Yes | Yes | No |
Load data to and from Google Sheets | Yes | Yes | No |
Two-Way Sync | Yes | Yes | No |
dbt Core Integration | Yes | Yes | Yes |
dbt Cloud Integration | Yes | No | No |
OpenAPI / Developer API | Yes | No | Yes |
G2 Rating | 4.8 | 4.9 | 4.5 |
Conclusion
You’re comparing 5X, Stitch, Weld. Each of these tools has its own strengths:
- 5X: end-to-end features: etl ingestion (500+ connectors), managed warehouse provisioning, dbt transformations, reverse etl, built-in bi/visualization, and a semantic layer. it also includes lineage tracking and api endpoints for data apps. . 5x offers a free forever tier for small usage (limited connectors/rows). the starter plan (~$500/mo) covers basic use, but costs increase with data volume and connector count. roi calculations often justify the cost by consolidating multiple tools. .
- Stitch: stitch offers fully managed no-code elt data pipelines and integrates with talend, but relies heavily on the singer open-source framework, which can be less stable.. stitch's pricing model is cost-friendly and based on usage, making it accessible for many users. however, costs can increase if data volumes grow significantly..
- 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.. weld offers a straightforward and competitive pricing model, starting at $99 for 2 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises..