Comparing Improvado with Meltano and Weld

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Rated 5 stars on G2

What is Improvado

Improvado is a cloud-based data platform that helps businesses automate their data management and reporting. It connects to a wide range of data sources, including marketing platforms, CRM systems, and e-commerce platforms, and allows users to blend and transform their data to create a single source of truth.

Pros

Easy to use
Great support and onboarding
Automation features
Flexibility
Great for agencies with multiple accounts

Cons

Expensive, especially for large data volumes
Learning curve
Limited features
Limited integrations

A reviewer on G2:

What I like about Improvado

Improvado has been surprisingly easy to use. Within just a few clicks we have been able to integrate all our media platforms into our datalake. The numerous in-depth guides make this process very easy.

What I dislike about Improvado

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What is Meltano

Meltano is another open-source data integration platform like Airbyte that is designed to help businesses build their own data integration pipelines. The platform provides users with a wide range of integration options, including connectors for databases, APIs, and application logs. Additionally, Meltano provides extensive support for data transformation and orchestration and integrates well with several cloud-based data warehouses.

Pros

Open-source platform
A really large number of connectors through Singer
Offer an SDK to more easily build Singer taps and targets

Cons

No fully managed options so you need to deploy yourself (in Beta though)
Requires high maintenance
Limited data transformation capabilities (only through deep integration with DBT)
Only has a limited number of connectors that are natively built outside of Singer

As a user on G2 puts it::

What I like about Meltano

The best thing about Meltano is that it's simple and easy to use. It's portable, so I can run it on the command line, or in a docker container, or in any number of orchestration tools.

What I dislike about Meltano

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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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Improvado vs Meltano: Ease of Use and User Interface

Improvado

Improvado is known for its ease of use and strong support, making it a good choice for businesses looking to integrate multiple media platforms with minimal effort.

Meltano

Meltano is simple and easy to use for those with technical expertise, particularly due to its portability and command-line usability, but may be challenging for less technical users.

Improvado vs Meltano: Pricing Transparency and Affordability

Improvado

Improvado's pricing is custom, which can be expensive depending on data volumes, making it less accessible for small businesses but valuable for larger enterprises with extensive data needs.

Meltano

Meltano is open-source and free to use, making it highly affordable, but requires significant investment in deployment and maintenance, especially without a fully managed option.

Improvado vs Meltano: Comprehensive Feature Set

Improvado

Improvado offers automation features and flexibility in data management and reporting, catering well to agencies handling multiple accounts.

Meltano

The platform offers extensive integration options, including support for data transformation and orchestration, but relies heavily on the Singer framework, which can limit capabilities.

Improvado vs Meltano: Flexibility and Customization

Improvado

Improvado provides flexibility in data integration and transformation, but has limited features compared to more comprehensive platforms, which might require additional customization for some use cases.

Meltano

Meltano is highly flexible for advanced users who can manage their own deployments and build on the platform, but it requires substantial maintenance and lacks a fully managed option.

Summary of Improvado vs Meltano vs Weld

	Weld	Improvado	Meltano
Connectors	150+	500+	600+
Price	$99 / 2 connectors	Custom	N/A
Free tier	No	No	No
Extract data (ETL)	Yes	Yes	Yes
Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL)	Yes	No	No
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	4.9

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