Comparing Informatica Cloud with StreamSets Data Collector and Weld

You’re comparing Informatica Cloud vs StreamSets Data Collector vs Weld. Explore how they differ on connectors, pricing, and features.

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Weld vs Informatica Cloud vs StreamSets Data Collector

	Weld	Informatica Cloud	StreamSets Data Collector
Connectors	200+	200+	200+
Price	$99 / 5M Active Rows	Subscription-based (custom quotes); typically starts ~$20k/year for base ETL usage	Data Collector: Free (OSS); Data Ops Platform: Custom enterprise pricing
Free tier
Location	EU	Redwood City, CA, USA	San Francisco, CA, USA
Extract data (ETL)
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Transformations
AI Assistant
On-Premise
Orchestration
Lineage
Version control
Load to/from Excel		Yes (flat-file connectors)	Yes (via file connectors)
Load to/from Google Sheets		Yes (Google Sheets connector)
Two-Way Sync
dbt Core Integration
dbt Cloud Integration
OpenAPI / Developer API
G2 rating	4.8	4.4	4.5

Overview

Informatica Cloud in Short

Informatica Intelligent Cloud Services (IICS) is a cloud-native iPaaS that provides ETL/ELT, application integration, API management, and data quality in a single SaaS platform. It offers hundreds of pre-built connectors for SaaS apps, cloud databases, and on-premises systems via Secure Agents. Key features include drag-and-drop flow designer, real-time integrations, and monitoring dashboards.

Pros

Hundreds of SaaS, cloud DB, and on-prem connectors via a lightweight Secure Agent.
Unified services: ETL/ELT, data quality, API integration, and B2B/EDI flows.
Low-code, drag-and-drop interface for rapid flow development; pre-built templates accelerate common integrations.
Hybrid integration capability: connect cloud and on-prem data sources securely via Secure Agents.

Cons

Pricing can be difficult to estimate—charges apply per environment, per connector, data volume, and usage of additional services.
Performance throttling on large bulk loads; premium packaging is needed for high-throughput scenarios.
Learning curve for advanced features: API Designer, Data Quality transformations, and complex flow orchestration.

Reviews & Quotes

G2 reviews:

What I like about Informatica Cloud

“Some of the standout aspects include: User Friendly Interface,Scalability and Cloud-Native Architecture, Automation and Scheduling.”

What I dislike about Informatica Cloud

“Informatica CDI is quite expensive when compared to other cloud-based data integration tools, particularly for smaller organizations and teams.”

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Overview

StreamSets Data Collector in Short

StreamSets Data Collector is an open-source data integration engine built for continuous ingestion, transformation, and delivery—often referred to as a DataOps platform. It supports both streaming (Kafka, Kinesis) and batch (JDBC, files) data sources, with a drag-and-drop canvas to design pipelines. The standout feature is Schema Drift Detection: pipelines automatically adapt to changes in incoming data schemas. Commercial editions add operational monitoring, metadata management, and lineage.

Pros

Schema Drift Detection automatically adjusts to incoming data changes, preventing many pipeline breaks.
Supports both streaming (Kafka, Kinesis, JMS) and batch (JDBC, files) in the same pipeline.
Drag-and-drop pipeline builder with over 200 connectors and transformation processors.
Open-source core (Data Collector); enterprise edition adds operational monitoring, lineage, and governance.

Cons

Open-source lacks robust monitoring and lineage features; must pay for the Data Ops Platform for full enterprise functionality.
UI performance can degrade for very large pipelines; memory usage can be significant.
Steep learning curve for advanced pipeline patterns, especially around custom scripting in Groovy or Java.

Reviews & Quotes

StreamSets Data Operations Platform:

What I like about StreamSets Data Collector

“StreamSets’ ability to automatically detect and adapt to schema changes (drift) in streaming sources greatly reduces pipeline failures.”

What I dislike about StreamSets Data Collector

“The open-source feature set is limited—monitoring, lineage, and enterprise support require the paid Data Ops Platform. Debugging complex pipelines can be tricky if not familiar with the UI.”

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Overview

Weld in Short

Weld is a powerful ETL platform that seamlessly integrates ELT, data transformations, reverse ETL, and AI-assisted features into one user-friendly solution. With its intuitive interface, Weld makes it easy for anyone, regardless of technical expertise, to build and manage data workflows. Known for its premium quality connectors, all built in-house, Weld ensures the highest quality and reliability for its users. It is designed to handle large datasets with near real-time data synchronization, making it ideal for modern data teams that require robust and efficient data integration solutions. Weld also leverages AI to automate repetitive tasks, optimize workflows, and enhance data transformation capabilities, ensuring maximum efficiency and productivity. Users can combine data from a wide variety of sources, including marketing platforms, CRMs, e-commerce platforms like Shopify, APIs, databases, Excel, Google Sheets, and more, providing a single source of truth for all their data.

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

Reviews & Quotes

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.”

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Feature-by-Feature Comparison

Informatica Cloud

StreamSets Data Collector

Weld

Feature

Informatica Cloud

StreamSets Data Collector

Weld

Flexibility & Customization

Side-by-side

Users can create custom connectors via REST/SOAP or use the Generic Connector. Secure Agents allow on-premise integration. Mapping Designer supports custom transformations via Java or Groovy.