Comparing Keboola with Talend and Weld

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Rated 5 stars on G2

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

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What is Talend

Talend's data integration tool, one piece of the broader Talend Data Fabric platform. Talend’s complete software is a robust data solution that goes beyond data integration to also encompass data quality management, data integrity and governance, application and API integration, and more. With both ELT and ETL capabilities, Talend is a good option for those with on-premise data warehousing and/or a cloud-based data warehouse. Geared towards larger enterprises, the complete Talend product is generally best suited for seasoned experts and large, mature data teams.

Pros

Large number of connectors
Robust feature set
Lots of advanced features for larger enterprises and data teams
Has both ELT and ETL capabilities
On premise options

Cons

Expensive for small businesses
Steep learning curve for non-technical users
Requires a large upfront investment and implementation

As a reviewer on Gartner states: :

What I like about Talend

The tool is great but requires a lot of learning curve

What I dislike about Talend

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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.

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Keboola vs Talend: 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.

Talend

Talend has a steep learning curve, especially for non-technical users, due to its extensive feature set and advanced capabilities, which require significant training and experience to utilize fully.

Keboola vs Talend: 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.

Talend

Talend's pricing is custom and can be expensive, especially for small businesses. It requires a substantial upfront investment, making it more suitable for large enterprises with significant data needs.

Keboola vs Talend: 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.

Talend

Talend offers a robust feature set with a large number of connectors, supporting both ELT and ETL capabilities, along with options for on-premise deployments. It is well-suited for mature data teams needing comprehensive data integration and management.

Keboola vs Talend: 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.

Talend

Talend provides flexibility and customization options, making it ideal for large enterprises with complex data needs. However, this comes at the cost of ease of use, particularly for less experienced users.

Summary of Keboola vs Talend vs Weld

	Weld	Keboola	Talend
Connectors	150+	200+	100+
Price	$99 / 2 connectors	Custom price	Custom price
Free tier	No	Yes	No
Extract data (ETL)	Yes	Yes	Yes
Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL)	Yes	Yes	Yes
Version control	Yes	No	No
Orchestration	Yes	No	No
Lineage	Yes	No	No
AI Assistant	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
G2 Rating	4.8	4.7	4

Why choose Weld?

Gather all your data in one place

Tired of scattered data? Weld consolidates all your data in one location with our no-code data pipelines.

Spend less time on manual reporting

Suffering from data headaches? Spend less time manually juggling data in Excel and Google Sheets and more time getting real insights.

Reliability and quality

All our connectors are built in-house to ensure the highest quality and reliability with 99.9% uptime across more than 150,000 daily syncs.

Combine and transform your data with AI

Easily transform your data into meaningful metrics with our SQL AI Assistant, Ed.

Award winning ETL Platform

Across industries, data-driven companies choose Weld to sync their data seamlessly

"Before Weld, our data was very simple. We didn’t have a clear data strategy and relied heavily on Excel files and Power BI for dashboarding our reports."

Temur Makhsudov, Head of BI and Operations