Comparing Adverity with Keboola and Weld

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Rated 5 stars on G2

What is Adverity

Adverity is a standout data integration platform transforming siloed marketing data into actionable insights. With more than 600 marketing data connectors, it is designed for marketers to make better decisions and improve performance across all campaigns and channels.

Pros

Data extraction and loading
Flexibility and customization
Scalability
User-friendly interface
Unlimited data and connections

Cons

Expensive, especially for small businesses
Steep learning curve
Reporting capabilities could be improved
Initial setup complexity
Performance issues with large datasets

A reviewer on Capterra:

What I like about Adverity

Ease of use, various data connection points readily available for integration and extraction, ranging from Social platforms to various DSPs. Users can easily set up a frequent data update and even connect with other dashboards like Data Studio.

What I dislike about Adverity

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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 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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Adverity vs Keboola: Ease of Use and User Interface

Adverity

Adverity offers a user-friendly interface but has a steeper learning curve due to its broad feature set, which might be overwhelming for beginners.

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.

Adverity vs Keboola: Pricing Transparency and Affordability

Adverity

Adverity’s pricing is on the higher side, especially for small businesses, which may find the cost prohibitive. It is ideal for larger enterprises that need extensive data integration capabilities.

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.

Adverity vs Keboola: Comprehensive Feature Set

Adverity

Adverity supports a wide range of connectors and provides robust data extraction, transformation, and loading capabilities. However, the platform's comprehensive feature set can be a double-edged sword, offering great functionality but also requiring significant effort to master.

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.

Adverity vs Keboola: Flexibility and Customization

Adverity

Adverity is highly customizable, offering flexibility to adapt to various data needs and integration scenarios, making it a strong choice for businesses that require tailored data solutions.

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.

Summary of Adverity vs Keboola vs Weld

	Weld	Adverity	Keboola
Connectors	150+	600+	200+
Price	$99 / 2 connectors	€500 / month	Custom price
Free tier	No	No	Yes
Extract data (ETL)	Yes	Yes	Yes
Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL)	Yes	No	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	4.5	4.7

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