You’re comparing Weld vs Alooma vs Dell Boomi. Explore how they differ on connectors, pricing, and features. 
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| Feature | Weld | Alooma | Dell Boomi |
|---|---|---|---|
| Core Platform | |||
| Price | $79 / 5M Active Rows | N/A (product retired; GCP service pricing applies) | Subscription-based (per Atom/connection; starts ~$1000/month) |
| Free tier | No | No | No |
| Location | DK, (EU) | Sunnyvale, CA, USA (pre-acquisition) | Austin, TX, USA |
| Connectors & Sync | |||
| Connectors | 200+ | 100+ | 200+ |
| Extract data (ETL) | Yes | Yes | Yes |
| Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL) | Yes | No | Yes |
| Two-Way Sync | Yes | No | 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 | No | Yes |
| On-Premise | No | No | Yes |
| OpenAPI / Developer API | Yes | No | Yes |
| Integrations | |||
| Load to/from Excel | Yes | No | Yes (via ODBC/JDBC) |
| Load to/from Google Sheets | Yes | No | No |
| Ratings | |||
| G2 rating | 4.8 | — | 4.3 |
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
Alooma (acquired by Google Cloud in 2019) was a streaming ETL platform that enabled real-time ingestion of data from various sources into BigQuery. It provided a visual pipeline editor to map, transform, and route data with minimal code, automatically handling schema changes and ensuring exactly-once delivery. While Alooma as a standalone product is retired, many of its features have been integrated into Google Cloud’s Dataflow and Pub/Sub pipelines.
Real-time streaming ETL with automatic schema drift handling.
Minimal coding: visual pipeline UI with built-in connectors to databases, Kafka, APIs, and SaaS apps.
Exactly-once delivery guarantees to BigQuery, eliminating duplicate data.
Standalone Alooma product is discontinued—functionality now lives in GCP services (e.g., Dataflow, Data Fusion).
Migrating legacy Alooma pipelines to GCP-native services requires rework, as UI and features differ from original Alooma.
Google Cloud’s Dataflow (Alooma integration):
“Alooma’s ease of connecting live streaming data sources directly into BigQuery with automated schema management was revolutionary for our real-time analytics.”
“Since Google integrated Alooma into its native services, the standalone product no longer exists, so new users must migrate to Dataflow or Data Fusion.”
Overview
Dell Boomi AtomSphere is a cloud-native iPaaS that provides ETL, ELT, API management, B2B/EDI integration, and workflow automation using its Atom runtime architecture. It includes 200+ connectors across SaaS, on-premises systems, and databases. Pipelines and integrations are created in a visual drag-and-drop interface, and Boomi’s lightweight Atom engine can be deployed both in the cloud and on-premise to support hybrid integration scenarios.
200+ connectors for SaaS, databases, on-prem systems, and big data sources.
Hybrid deployment options via Boomi Atoms (cloud, on-prem, or private environments).
Visual process designer with drag-and-drop mapping and component-specific logic.
Built-in version control, error handling, and CI/CD integration.
Licensing costs can increase quickly based on Atom count and connector usage.
Advanced transformations may require scripting (JavaScript or Groovy).
Learning curve for understanding Atom, Molecule, and hybrid deployment models.
Dell Boomi Documentation:
“Boomi’s AtomSphere makes deploying integration processes easy—Atoms can run anywhere, and the visual interface is intuitive for building mappings.”
“Licensing can be expensive, especially for high-volume data. Complex integrations can require coding despite the low-code promise.”
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.
Alooma’s web-based pipeline builder allowed users to drag-and-drop connectors for streaming or batch data, apply transformations, and route data to BigQuery with just a few clicks. The interface auto-generated SQL when possible.
Boomi’s Integration Builder provides a web-based canvas for designing integration processes. While the drag-and-drop interface is intuitive for typical workflows, complex multi-step pipelines can become challenging to maintain.
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.
Alooma’s web-based pipeline builder allowed users to drag-and-drop connectors for streaming or batch data, apply transformations, and route data to BigQuery with just a few clicks. The interface auto-generated SQL when possible.
Boomi’s Integration Builder provides a web-based canvas for designing integration processes. While the drag-and-drop interface is intuitive for typical workflows, complex multi-step pipelines can become challenging to maintain.
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.
No longer available as a separate product. Users adopt equivalent GCP services (Dataflow, Data Fusion) which have pay-as-you-go pricing under the GCP pricing model.
Boomi uses a subscription model based on Atom runtime usage, connector limits, and transaction volumes. Pricing generally starts around $1,000 per month, with higher tiers for larger workloads. Smaller teams may find the model expensive.
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.
No longer available as a separate product. Users adopt equivalent GCP services (Dataflow, Data Fusion) which have pay-as-you-go pricing under the GCP pricing model.
Boomi uses a subscription model based on Atom runtime usage, connector limits, and transaction volumes. Pricing generally starts around $1,000 per month, with higher tiers for larger workloads. Smaller teams may find the model expensive.
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.
Alooma supported real-time ingestion from Kafka, databases (MySQL, PostgreSQL), logs, REST APIs, and SaaS apps, with built-in transformations (masking, enrichment). It automatically handled schema changes, and could write to BigQuery partitions.
Key features include ETL/ELT processes, API management, EDI/B2B capabilities, workflow automation, master data management, and data quality tools. The platform also provides monitoring, alerts, and enterprise-level governance 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.
Alooma supported real-time ingestion from Kafka, databases (MySQL, PostgreSQL), logs, REST APIs, and SaaS apps, with built-in transformations (masking, enrichment). It automatically handled schema changes, and could write to BigQuery partitions.
Key features include ETL/ELT processes, API management, EDI/B2B capabilities, workflow automation, master data management, and data quality tools. The platform also provides monitoring, alerts, and enterprise-level governance 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 could write custom JavaScript transforms or Python UDFs for complex logic. The platform managed infrastructure, but custom connectors required Eloqua code or support.
Boomi supports Groovy and JavaScript for custom transformations, and Atoms can be deployed in any environment for hybrid use cases. Pipelines can be parameterized, integrated with CI/CD, and triggered via REST APIs. As a proprietary platform, core engine enhancements depend on Boomi’s roadmap.
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 could write custom JavaScript transforms or Python UDFs for complex logic. The platform managed infrastructure, but custom connectors required Eloqua code or support.
Boomi supports Groovy and JavaScript for custom transformations, and Atoms can be deployed in any environment for hybrid use cases. Pipelines can be parameterized, integrated with CI/CD, and triggered via REST APIs. As a proprietary platform, core engine enhancements depend on Boomi’s roadmap.
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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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