Comparing Keboola with Stitch and Weld
Carolina Russ5 min read
What is Keboola
Keboola is a cloud-based ETL platform for the advanced user with a great degree of flexibility and customization options. It offers import and export of data and supports a wide range of languages and features so you do most of your data operations in one place.
Pros
- A very wide range of features
- Option to build custom components withe API first approach
- Transformations that support both ELT and ETL
- Fully managed data platform
- Good academy to learn
Cons
- Complex UI
- Orchestration features are lacking
- Can quickly become expensive with the credit consumption pricing model
A user on G2 said::
What I like about Keboola
Keboola is powerful in extracting data from endless sources. In keboola you can organize your analytics and build your models with ease.
What I dislike about Keboola
What is Stitch
Acquired by Talend in 2018, Stitch Data is a cloud open-source and developer-focused ELT platform that offers no-code connectors to bring data into your warehouse. Stitch offers compatibility with a broad range of data sources and destinations. It also enables customers to construct new sources based on Singer's standards, an open-source toolkit designed for scriptwriting.
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
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.
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.
Keboola vs Stitch: Ease of Use and User Interface
Keboola
Keboola is powerful for users who need extensive customization and flexibility in their data operations, but its complex UI can be a challenge for beginners.
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.
Keboola vs Stitch: Pricing Transparency and Affordability
Keboola
Keboola's pricing can become expensive quickly due to its credit consumption model, making it a better fit for users who can optimize their usage effectively.
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.
Keboola vs Stitch: Comprehensive Feature Set
Keboola
The platform offers a wide range of features, including support for both ELT and ETL transformations, and is well-suited for advanced users needing comprehensive data management capabilities.
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.
Keboola vs Stitch: Flexibility and Customization
Keboola
Keboola provides extensive flexibility with options to build custom components using an API-first approach, but this flexibility requires a deep understanding of the platform's capabilities and architecture.
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 Keboola vs Stitch vs Weld
| Weld | Keboola | Stitch | |
|---|---|---|---|
| Connectors | 200++ | 200+ | 140+ |
| Price | $99 / Unlimited usage | Custom price | $100 / 5M rows |
| Free tier | No | Yes | Yes |
| Location | EU | CR | 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 | Yes | No |
| Orchestration | Yes | No | No |
| Lineage | Yes | No | No |
| Version control | Yes | No | No |
| Load data to and from Excel | Yes | No | No |
| Load data to and from Google Sheets | Yes | No | No |
| Two-Way Sync | Yes | No | No |
| dbt Core Integration | Yes | Yes | Yes |
| dbt Cloud Integration | Yes | No | No |
| OpenAPI / Developer API | Yes | No | Yes |
| G2 Rating | 4.8 | 4.7 | 4.5 |
Conclusion
You’re comparing Keboola, Stitch, Weld. Each of these tools has its own strengths:
- Keboola: the platform offers a wide range of features, including support for both elt and etl transformations, and is well-suited for advanced users needing comprehensive data management capabilities.. keboola's pricing can become expensive quickly due to its credit consumption model, making it a better fit for users who can optimize their usage effectively..
- 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..
