You’re comparing Weld vs Jitterbit vs Meltano. Explore how they differ on connectors, pricing, and features. 
Loved by data teams from around the world
| Feature | Weld | Jitterbit | Meltano |
|---|---|---|---|
| Core Platform | |||
| Price | $79 / 5M Active Rows | Subscription-based (custom quotes; starts ~$25k/year) | Free (self-hosted), Meltano Cloud is custom pricing |
| Free tier | No | No | Yes |
| Location | DK, (EU) | Oakland, CA, USA | US |
| Connectors & Sync | |||
| Connectors | 200+ | 100+ | 600+ |
| Extract data (ETL) | Yes | Yes | Yes |
| Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL) | Yes | Yes | No |
| Two-Way Sync | Yes | Yes | No |
| Transformations & AI | |||
| Transformations | Yes | Yes | No |
| AI Assistant | Yes | No | No |
| dbt Core Integration | Yes | No | Yes |
| dbt Cloud Integration | Yes | No | No |
| Governance & DevOps | |||
| Orchestration | Yes | Yes | Yes |
| Lineage | Yes | No | No |
| Version control | Yes | Yes | Yes |
| On-Premise | No | Yes | Yes |
| OpenAPI / Developer API | Yes | Yes | Yes |
| Integrations | |||
| Load to/from Excel | Yes | Yes (Excel connector) | No |
| Load to/from Google Sheets | Yes | No | No |
| Ratings | |||
| G2 rating | 4.8 | 4.3 | 4.6 |
Overview
Weld is a unified ELT and data activation platform that combines ingestion, modeling, transformations, orchestration, lineage, and reverse ETL in a single SaaS interface. With premium in-house–built connectors, an intuitive UI, and near real-time syncs, Weld enables both technical and non-technical users to create and manage data workflows efficiently. Weld also includes an AI assistant to support SQL modeling, generate transformations, and streamline repetitive tasks. Teams can ingest data from a wide range of sources—including marketing platforms, CRMs, databases, Google Sheets, Excel, and APIs—into their cloud data warehouse and activate it back into business tools.
Lineage, orchestration, and workflow features included by default
Handles large datasets and near real-time data sync
ELT and reverse ETL in one platform
User-friendly interface with minimal setup required
Flat, predictable monthly pricing model
200+ in-house–built, high-quality connectors
AI assistant for modeling and transformations
Some SQL knowledge is useful for advanced modeling
Optimized for cloud-warehouse workflows (Snowflake, BigQuery, Redshift, etc.)
Feature set is streamlined for modern ELT/activation use cases
A reviewer on G2 said:
Overview
Jitterbit Harmony is a cloud-based integration platform that supports ETL, ELT, API integration, and application connectivity. Users design integrations—called Jitterpaks—using a visual interface. Jitterbit provides pre-built connectors for SaaS applications such as Salesforce and NetSuite, on-prem databases, and flat files. It also enables real-time API creation from existing data sources and supports transformations using mapping tools, SQL, or scripting.
Pre-built connectors for CRM, ERP, databases, flat files, and the ability to build custom connectors via SDK.
API creation capabilities to turn data flows into REST or SOAP endpoints.
Visual interface (Jitterbit Studio) with drag-and-drop mapping and transformation steps.
Supports both real-time and batch processing; hybrid deployment available via cloud or local runtimes.
Complex licensing structure based on endpoints, environments, and usage, which can be costly for larger deployments.
Studio interface is less modern and can become unwieldy for very large pipelines.
Advanced transformations may require scripting rather than purely GUI-driven logic.
Jitterbit Harmony Overview:
“Jitterbit’s Studio UI makes building integrations straightforward, and the API creation feature lets us expose data to external apps quickly.”
“Pricing is tiered and can be high as you add more endpoints or data volume. Complex transformations sometimes require scripting, despite the low-code interface.”
Overview
Meltano is an open-source data integration and orchestration platform built around the Singer ecosystem. It focuses on engineering workflows, version control, and reproducible pipelines. Meltano offers extensive connector coverage through Singer taps and targets, along with strong support for dbt, Airflow, and Dagster. While it provides high flexibility for technical teams, it requires more setup and maintenance than fully managed ELT tools.
Open-source platform
Large connector coverage via the Singer ecosystem
SDK for building and maintaining Singer taps/targets
Strong engineering workflow support (CLI-first, version-controlled)
Flexible deployment options including Meltano Cloud
No fully polished, mature managed option (Meltano Cloud is early-stage)
High maintenance requirements, especially for Singer connectors
Connector quality varies significantly across the community
No built-in reverse ETL or native transformations
Less suitable for non-technical teams
As a user on G2 puts it::
“All the managerial tasks are handled under the hood, leaving you to focus on getting or consuming the data you need.”
“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.”
Side-by-side
Weld’s interface is built for clarity and speed, enabling users with varying levels of technical experience to manage data pipelines and models efficiently. Its built-in lineage and orchestration tools provide transparency across workflows.
Jitterbit Studio is a desktop-based (Java) interface with a design canvas for mapping and pipeline creation. It supports testing and scripting in-app. The UI is functional but can feel dated or slow when managing complex flows.
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.
Side-by-side
Weld’s interface is built for clarity and speed, enabling users with varying levels of technical experience to manage data pipelines and models efficiently. Its built-in lineage and orchestration tools provide transparency across workflows.
Jitterbit Studio is a desktop-based (Java) interface with a design canvas for mapping and pipeline creation. It supports testing and scripting in-app. The UI is functional but can feel dated or slow when managing complex flows.
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.
Side-by-side
Weld offers a simple and predictable pricing model starting at $79 for 5 million active rows. This flat, usage-transparent structure makes budgeting straightforward for small and medium-sized teams.
Pricing is based on endpoints, environments, and data throughput. Entry-level usage typically begins around $25k/year. Costs can increase significantly for larger teams or high-volume workloads.
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.
Side-by-side
Weld offers a simple and predictable pricing model starting at $79 for 5 million active rows. This flat, usage-transparent structure makes budgeting straightforward for small and medium-sized teams.
Pricing is based on endpoints, environments, and data throughput. Entry-level usage typically begins around $25k/year. Costs can increase significantly for larger teams or high-volume workloads.
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.
Side-by-side
Weld provides ELT ingestion, SQL-based transformations, reverse ETL activation, data lineage, orchestration, and workflow management in a single platform. Its AI assistant accelerates modeling and transformation tasks.
Key features include ETL/ELT pipelines, API creation, real-time event triggers, hybrid deployment, pre-built templates (Jitterpaks), and monitoring dashboards. Additional capabilities include multi-environment promotion and CI/CD integration.
The platform offers extensive integration options, including support for data transformation and orchestration, but relies heavily on the Singer framework, which can limit capabilities.
Side-by-side
Weld provides ELT ingestion, SQL-based transformations, reverse ETL activation, data lineage, orchestration, and workflow management in a single platform. Its AI assistant accelerates modeling and transformation tasks.
Key features include ETL/ELT pipelines, API creation, real-time event triggers, hybrid deployment, pre-built templates (Jitterpaks), and monitoring dashboards. Additional capabilities include multi-environment promotion and CI/CD integration.
The platform offers extensive integration options, including support for data transformation and orchestration, but relies heavily on the Singer framework, which can limit capabilities.
Side-by-side
Users can model data using SQL enhanced by Weld’s AI assistant, automate workflows, and build custom connectors to any API. This provides strong flexibility for teams that want to tailor integrations and transformations within one platform.
Users can write custom logic in JavaScript or VBScript and build custom connectors through the Jitterbit SDK. Hybrid deployment supports both cloud and on-prem runtimes. Most complex workflows can be customized but may require scripting.
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.
Side-by-side
Users can model data using SQL enhanced by Weld’s AI assistant, automate workflows, and build custom connectors to any API. This provides strong flexibility for teams that want to tailor integrations and transformations within one platform.
Users can write custom logic in JavaScript or VBScript and build custom connectors through the Jitterbit SDK. Hybrid deployment supports both cloud and on-prem runtimes. Most complex workflows can be customized but may require scripting.
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.
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CUSTOMER STORIES
“One of the biggest impacts has been unlocking new ways to buy media. Before, we didn’t have the data to back up strategic decisions – now we do.”
“Before Weld, we had to rely on custom Python scripts and manual processes that were time-consuming and error-prone.”
“We’re still a team of three, but we’re often doing far more than the equivalent of three full-time employees. That’s down to how we're able to leverage systems, data, and processes.”
“We’ve always been a KPI-driven company. But we wanted to scale that mindset across every team member, every team, every decision.”
“Before Weld, our data infrastructure was limited and we relied heavily on Excel files and custom Python scripts.”
“Weld has saved us a ton of time, from not having data ready to having a fully functional data warehouse and connectors.”
“By integrating Weld, Amazon S3, and Databricks, Soundboks built a modern data pipeline that automates data ingestion, improves reporting, and provides up-to-date visibility into sales performance”
“We didn’t have a good data setup, so we lacked the business insights we needed. Weld has allowed us to set up a structured data infrastructure and access insights quickly.”
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