Comparing Meltano with Skyvia 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
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
What is Skyvia
Pros
- Fast, no-code setup for loading data from 70+ sources to warehouses or cloud DBs.
- Handles incremental loads and can auto-detect schema changes for many sources.
- Built-in data replication (one-way sync) and backup options for cloud data.
- Free tier available (limited rows and sources) for basic usage.
Cons
- No advanced transformation engine—only simple filters, mappings, and formula fields.
- Pricing based on rows and connectors; high-volume loads can be costly.
- Support and community resources are limited compared to major ETL vendors.
Skyvia Pricing:
What I like about Skyvia
Skyvia’s simple UI makes setting up data imports from Salesforce to BigQuery a few minutes’ work—no code needed, and minor schema changes auto-managed.
What I dislike about Skyvia
Limited transformation capabilities; you can only apply basic filters or field mappings. For complex transformations, you need downstream tools.
What is Weld
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.
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.
Skyvia
Skyvia’s wizard-driven UI guides users through connecting source and destination, selecting objects, and scheduling. For basic use cases, it’s extremely quick. Complex pipelines aren’t its focus.
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.
Skyvia
Free tier allows up to 5000 rows/day. Paid plans start at $15/month for 10k rows plus $15 per additional 10k rows. For large-scale or continuous replication, costs scale accordingly.
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.
Skyvia
Supports: one-time or scheduled imports/exports, incremental loads (via key-based changes), data backup/restore, and firewall-friendly connectors. No transformations beyond mappings/filters.
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.
Skyvia
Users can define simple formulas for fields (e.g., concatenation). For advanced transformations, they need external tools (e.g., dbt) after loading. No support for scripting within ETL.
Summary of Meltano vs Skyvia vs Weld
Weld | Meltano | Skyvia | |
---|---|---|---|
Connectors | 200+ | 600+ | 70+ |
Price | $79 / No data volume limits | N/A | Free (limited); paid plans from $15/month for 10k rows |
Free tier | No | Yes | Yes |
Location | EU | US | San Francisco, CA, USA |
Extract data (ETL) | Yes | Yes | Yes |
Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL) | Yes | No | No |
Transformations | Yes | No | No |
AI Assistant | Yes | No | No |
On-Premise | No | Yes | No |
Orchestration | Yes | Yes | Yes |
Lineage | Yes | No | No |
Version control | Yes | No | No |
Load data to and from Excel | Yes | No | Yes |
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, Skyvia, 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..
- Skyvia: supports: one-time or scheduled imports/exports, incremental loads (via key-based changes), data backup/restore, and firewall-friendly connectors. no transformations beyond mappings/filters. . free tier allows up to 5000 rows/day. paid plans start at $15/month for 10k rows plus $15 per additional 10k rows. for large-scale or continuous replication, costs scale accordingly. .
- 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..