Comparing Meltano with Talend and Weld


What is Meltano
Pros
- Open-source platform
- A really large number of connectors through Singer
- Offer an SDK to more easily build Singer taps and targets
- Flexibility in Deployment
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
All the managerial tasks are handled under the hood, leaving you to focus on getting or consuming the data you need.
What I dislike about Meltano
With so many features baked into Meltano, navigating the documentation can be challenging. However, I've gotten around this by using Bing AI search, which brings me the answer immediately.
What is Talend
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
We are satisfied with Qlik Talend cloud, it enabled for us a seamless data integration and transformation, thanks to the tight integration with Qlik Cloud analytics.
What I dislike about Talend
Is a very good tool however this tool is better for data migration and a little lacking/ or difficult to use when it comes to some cleansing or further analysis.
What is Weld
Pros
- Lineage, orchestration, and workflow features
- Ability to handle large datasets and near real-time data sync
- ETL + reverse ETL in one
- User-friendly and easy to set up
- Flat monthly pricing model
- 200+ connectors (Shopify, HubSpot, etc.)
- AI assistant
Cons
- Requires some technical knowledge around data warehousing and SQL
- Limited features for advanced data teams
- Focused on cloud data warehouses
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
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.
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.
Pricing & Affordability
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.
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.
Feature Set
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.
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.
Flexibility & Customization
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.
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 Meltano vs Talend vs Weld
| Weld | Meltano | Talend | |
|---|---|---|---|
| Connectors | 200+ | 600+ | 100+ |
| Price | $79 / 5M Active Rows | free (self-hosted), custom (managed), paid support packages | Custom price |
| Free tier | No | Yes | No |
| Location | EU | US | US |
| Extract data (ETL) | Yes | Yes | Yes |
| Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL) | Yes | No | Yes |
| Transformations | Yes | No | Yes |
| AI Assistant | Yes | No | No |
| On-Premise | No | Yes | Yes |
| Orchestration | Yes | Yes | Yes |
| Lineage | Yes | No | Yes |
| Version control | Yes | No | Yes |
| 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 | No |
| dbt Cloud Integration | Yes | No | No |
| OpenAPI / Developer API | Yes | Yes | No |
| G2 Rating | 4.8 | 4.9 | 4 |
Conclusion
You’re comparing Meltano, Talend, Weld. Each of these tools has its own strengths:
- 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.. 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..
- 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.. 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..
- 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 $79 for 5 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises..