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Comparing Informatica Cloud with Rivery and Weld

You’re comparing Informatica Cloud vs Rivery vs Weld. Explore how they differ on connectors, pricing, and features. Ed Logo

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Weld vs Informatica Cloud vs Rivery

WeldInformatica CloudRivery
Connectors200+200+200+
Price$99 / 5M Active RowsSubscription-based (custom quotes); typically starts ~$20k/year for base ETL usage$0.75 per credit *100MB of data replication
Free tier
LocationEURedwood City, CA, USAUS
Extract data (ETL)
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Transformations
AI Assistant
On-Premise
Orchestration
Lineage
Version control
Load to/from ExcelYes (flat-file connectors)
Load to/from Google SheetsYes (Google Sheets connector)
Two-Way Sync
dbt Core Integration
dbt Cloud Integration
OpenAPI / Developer API
G2 rating4.84.44.7

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.

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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.

Overview

Rivery in Short

Rivery is a SaaS-based ELT data integration platform designed to simplify the process of loading data from a wide variety of sources, including custom API-based platforms, into your preferred data warehouse. Although Rivery does not support real-time, on-the-fly data transformations during the loading process, it compensates with powerful post-load transformation capabilities. This allows users to clean, shape, and enrich their data after it has been ingested, ensuring the data is ready for analysis. Rivery’s user-friendly interface and automation features make it a strong option for teams looking to streamline their data workflows without heavy coding.

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Pros

  • Supports custom integrations though native GUI

  • Has reverse ETL option

  • Supports Python

  • Has data transformation capabilities

  • Great customer support

Cons

  • Lack of advanced error handling features

  • Cannot transform data on the fly (ETL)

  • Complex pricing model

  • UI is lacking when working with larger complex pipelines

  • Product documentation is lacking

Reviews & Quotes

As a user on G2 puts it::

What I like about Rivery

As a data analyst, I find the tool really easy to use; it's intuitive how you connect to the different data sources and create your data pipelines.

What I dislike about Rivery

For first-time users, it would be good to have some demo buttons; still, if you are familiar with terms, you'll manage to navigate between windows.

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.

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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.

Feature-by-Feature Comparison

Feature
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Informatica Cloud

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Rivery

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Weld

Ease of Use & Interface

Side-by-side

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Informatica Cloud

The IICS web UI provides a unified workspace where users build mappings and tasks using drag-and-drop. Pre-built templates simplify common use cases, but advanced features (e.g., data quality) require additional learning.

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Rivery

Rivery is known for its ease of use, especially for data analysts who need to connect different data sources and create pipelines quickly. Its intuitive GUI makes setup straightforward.

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Weld

Weld is highly praised for its user-friendly interface and intuitive design, which allows even users with minimal SQL experience to manage data workflows efficiently. This makes it an excellent choice for smaller data teams or businesses without extensive technical resources.

Pricing & Affordability

Side-by-side

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Informatica Cloud

Informatica Cloud’s pricing includes a base license fee plus charges per connector, environment, and data usage. Small teams may find entry costs high, but larger enterprises benefit from consolidated integration and data services.

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Rivery

Rivery's pricing is complex and based on credits, which may not be straightforward for all users. Costs can rise significantly with increased data usage.

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Weld

Weld offers a straightforward and competitive pricing model, starting at $79 for 5 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises.

Feature Set

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Informatica Cloud

Key features: ETL/ELT mappings, real-time integrations, API & application integration, data quality, data masking, and B2B/EDI flows. It also includes monitoring dashboards, alerts, and SLA management.

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Rivery

The platform supports custom integrations, Python scripting, and reverse ETL, making it versatile for various data integration needs, but lacks on-the-fly transformation capabilities.

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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.

Flexibility & Customization

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Informatica Cloud

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.

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Rivery

Rivery offers flexibility in custom integrations and supports post-load transformations, but its user interface may lack robustness for managing larger, more complex pipelines.

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Weld

Weld offers advanced SQL modeling and transformations directly within its platform with the help of AI, providing users with unparalleled control and flexibility over their data. Leveraging its powerful AI capabilities, Weld automates repetitive tasks and optimizes data workflows, allowing teams to focus on getting value and insights. Additionally, Weld's custom connector framework enables users to build connectors to any API, making it easy to integrate new data sources and tailor data pipelines to meet specific business needs. This flexibility is particularly beneficial for teams looking to customize their data integration processes extensively and maximize the utility of their data without needing external tools.

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