You’re comparing Weld vs Jitterbit vs Matia. Explore how they differ on connectors, pricing, and features. 
Loved by data teams from around the world
| Feature | Weld | Jitterbit | Matia |
|---|---|---|---|
| Core Platform | |||
| Price | $79 / 5M Active Rows | Subscription-based (custom quotes; starts ~$25k/year) | Custom, unified platform license |
| Free tier | No | No | No |
| Location | DK, (EU) | Oakland, CA, USA | US |
| Connectors & Sync | |||
| Connectors | 200+ | 100+ | 200+ |
| Extract data (ETL) | Yes | Yes | Yes |
| Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL) | Yes | Yes | Yes |
| Two-Way Sync | Yes | Yes | Yes |
| Transformations & AI | |||
| Transformations | Yes | Yes | Yes |
| AI Assistant | Yes | No | No |
| dbt Core Integration | Yes | No | No |
| dbt Cloud Integration | Yes | No | No |
| Governance & DevOps | |||
| Orchestration | Yes | Yes | Yes |
| Lineage | Yes | No | Yes |
| Version control | Yes | Yes | No |
| On-Premise | No | Yes | No |
| OpenAPI / Developer API | Yes | Yes | No |
| 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 | 4.9 |
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
Matia is a unified DataOps platform that combines data ingestion, ELT, reverse ETL, data observability, and data cataloging into one cloud-based interface. It aims to simplify data workflows by reducing the need for multiple tools, offering an integrated approach to pipeline monitoring, metadata management, and data activation.
Unified platform combining ingestion, transformations, observability, and catalog features
New connectors added quickly based on customer needs
Built-in observability for anomaly detection and pipeline monitoring
Native catalog and lineage for metadata visibility
Responsive support and rapid product updates
Newer platform with features still maturing
Cloud-only SaaS with no on-prem deployment option
Smaller community and fewer third-party tutorials
Pricing is not publicly listed
All-in-one approach may lack depth in specialized areas
Matia Homepage:
“Matia unifies ETL, observability, catalog, and reverse ETL so teams can focus on driving actionable insights and accelerating innovation.”
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.
Matia offers a modern, integrated interface that brings ingestion, observability, and cataloging together. Users find it straightforward to set up, though some advanced capabilities are still evolving due to the platform’s early stage.
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.
Matia offers a modern, integrated interface that brings ingestion, observability, and cataloging together. Users find it straightforward to set up, though some advanced capabilities are still evolving due to the platform’s early stage.
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.
Matia’s pricing is available only through sales. While there is no free tier, some teams find value in the ability to consolidate multiple tools into one unified platform.
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.
Matia’s pricing is available only through sales. While there is no free tier, some teams find value in the ability to consolidate multiple tools into one unified platform.
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 includes ingestion pipelines, ELT transformations, reverse ETL, observability, anomaly detection, and a data catalog with lineage. Its feature set covers the full data lifecycle, though it is still developing compared to more established tools.
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 includes ingestion pipelines, ELT transformations, reverse ETL, observability, anomaly detection, and a data catalog with lineage. Its feature set covers the full data lifecycle, though it is still developing compared to more established tools.
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.
Matia supports custom connector requests and configurable quality rules. As a managed platform, it prioritizes ease of use over deep infrastructure customization.
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.
Matia supports custom connector requests and configurable quality rules. As a managed platform, it prioritizes ease of use over deep infrastructure customization.
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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.”
AWARD WINNING ETL PLATFORM
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