You’re comparing Weld vs Informatica PowerCenter vs Portable. Explore how they differ on connectors, pricing, and features. 
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| Feature | Weld | Informatica PowerCenter | Portable |
|---|---|---|---|
| Core Platform | |||
| Price | $79 / 5M Active Rows | Enterprise licensing (typically six-figure annual contracts) | Flat per connector (no volume fees) |
| Free tier | No | No | Yes |
| Location | DK, (EU) | US | US |
| Connectors & Sync | |||
| Connectors | 200+ | 200+ | 1000+ |
| Extract data (ETL) | Yes | Yes | Yes |
| Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL) | Yes | No | No |
| Two-Way Sync | Yes | No | No |
| Transformations & AI | |||
| Transformations | Yes | Yes | No |
| AI Assistant | Yes | No | No |
| dbt Core Integration | Yes | No | No |
| dbt Cloud Integration | Yes | No | No |
| Governance & DevOps | |||
| Orchestration | Yes | Yes | No |
| Lineage | Yes | Yes | No |
| Version control | Yes | Yes | No |
| On-Premise | No | Yes | No |
| OpenAPI / Developer API | Yes | Yes | Yes |
| Integrations | |||
| Load to/from Excel | Yes | Yes (flat file imports) | No |
| Load to/from Google Sheets | Yes | No | No |
| Ratings | |||
| G2 rating | 4.8 | 4.3 | 4.8 |
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
Informatica PowerCenter is an enterprise-grade ETL platform used for large-scale, governed data integration. It provides a visual mapping designer, extensive transformation capabilities, metadata management, and workflow orchestration. PowerCenter supports heterogeneous data sources including mainframes, relational databases, ERP systems, and cloud platforms. It is commonly adopted by enterprises with complex data governance requirements and long-lived ETL pipelines.
Highly scalable ETL engine with parallel processing and pushdown optimization.
Comprehensive transformation library with data quality and profiling features.
Strong metadata management and governance capabilities.
Robust workflow orchestration with detailed logging and recovery options.
Supports heterogeneous sources including mainframe, SAP, cloud, and on-prem databases.
High total cost of ownership, including licensing, infrastructure, and specialized expertise.
Dated user interface compared to modern cloud-native ETL tools.
Steep learning curve and significant onboarding time for new developers.
Less agile for rapidly evolving data needs; upgrades and patches can be time-consuming.
G2 Reviews:
“Informatica PowerCenter has been a classic, with decades in the industry. It offers every possible connector and provides robust mapping tools.”
“The UI looks dated, and handling large mappings can be difficult without significant experience.”
Overview
[Portable.io](http://portable.io/) is a cloud-based extract-and-load (EL) platform focused on supporting long-tail data sources. It provides more than 1,000 connectors—including many niche APIs—and offers on-demand custom connector development at no additional cost. Designed primarily for loading data into warehouses, Portable handles API maintenance, schema updates, and rate limits, allowing teams to access a wide range of sources without engineering overhead.
Broad connector coverage with over 1,000 sources
Custom connectors built on demand at no extra cost
Flat per-connector pricing without volume-based fees
Fully managed pipelines, including API changes and schema updates
Simple setup with minimal configuration required
EL-only platform with no built-in transformation capabilities
Cloud-only SaaS with no on-prem deployment
Does not support reverse ETL or data activation features
Some newly created connectors may require tuning before stabilizing
Limited scheduling flexibility compared to full orchestration tools
G2 Review:
“They have excellent support and communication in both timelines and quality of response.”
“There is a learning curve when working with more complex transformations, and support may be limited for highly specialized setups.”
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.
The interface is feature-rich but dated. Developers typically require formal training to work effectively with transformations, mappings, and workflow components.
[Portable.io](http://portable.io/) offers a minimal and straightforward interface where users select a source, authenticate, and start loading data. It is designed for quick setup and ease of use, even for non-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.
The interface is feature-rich but dated. Developers typically require formal training to work effectively with transformations, mappings, and workflow components.
[Portable.io](http://portable.io/) offers a minimal and straightforward interface where users select a source, authenticate, and start loading data. It is designed for quick setup and ease of use, even for non-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 enterprise-focused and often requires a significant long-term investment. Best suited for large organizations with strict governance requirements rather than small or mid-sized teams.
Portable’s flat per-connector pricing model provides predictable costs and can be more affordable for organizations pulling smaller volumes of data from many sources.
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 enterprise-focused and often requires a significant long-term investment. Best suited for large organizations with strict governance requirements rather than small or mid-sized teams.
Portable’s flat per-connector pricing model provides predictable costs and can be more affordable for organizations pulling smaller volumes of data from many sources.
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.
PowerCenter offers advanced ETL transformations, workflow orchestration, metadata management, data quality features, mainframe connectivity, and pushdown optimization. It remains a strong choice for complex enterprise data engineering workloads.
The platform prioritizes extensive connector coverage, automatic schema management, and reliable EL pipelines. It does not offer transformation or activation features, expecting those to be handled downstream.
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.
PowerCenter offers advanced ETL transformations, workflow orchestration, metadata management, data quality features, mainframe connectivity, and pushdown optimization. It remains a strong choice for complex enterprise data engineering workloads.
The platform prioritizes extensive connector coverage, automatic schema management, and reliable EL pipelines. It does not offer transformation or activation features, expecting those to be handled downstream.
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 extend capabilities through Java transformations, stored procedures, command tasks, and custom scripts. While highly customizable, the platform is proprietary—advanced modifications depend on Informatica’s ecosystem and update cycles.
While transformations cannot be performed within the platform, Portable’s custom connector development ensures flexibility in what sources can be supported. Its simplicity comes at the cost of deeper customization options.
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 extend capabilities through Java transformations, stored procedures, command tasks, and custom scripts. While highly customizable, the platform is proprietary—advanced modifications depend on Informatica’s ecosystem and update cycles.
While transformations cannot be performed within the platform, Portable’s custom connector development ensures flexibility in what sources can be supported. Its simplicity comes at the cost of deeper customization options.
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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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