What I like about Alooma
“Alooma’s ease of connecting live streaming data sources directly into BigQuery with automated schema management was revolutionary for our real-time analytics.”
Comparing Alooma with SnapLogic and Weld
You’re comparing Alooma vs SnapLogic vs Weld. Explore how they differ on connectors, pricing, and features. 
Loved by data teams from around the world
Weld vs Alooma vs SnapLogic
| Weld | Alooma | SnapLogic | |
|---|---|---|---|
| Connectors | 200+ | 100+ | 500+ |
| Price | $99 / 5M Active Rows | N/A (product retired; GCP service pricing applies) | Subscription (connector & usage-based; starts ~$50k/year) |
| Free tier | |||
| Location | EU | Sunnyvale, CA, USA (pre-acquisition) | San Mateo, 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 (via Snaps) | ||
| Load to/from Google Sheets | Yes (Google Sheets Snap) | ||
| Two-Way Sync | |||
| dbt Core Integration | |||
| dbt Cloud Integration | |||
| OpenAPI / Developer API | |||
| G2 rating | 4.8 | — | 4.4 |
Overview
Alooma in Short
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.
Pros
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.
Cons
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.
Reviews & Quotes
Google Cloud’s Dataflow (Alooma integration):
What I dislike about Alooma
“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
SnapLogic in Short
SnapLogic is an Integration Platform as a Service (iPaaS) offering ETL, ELT, and application integration via a visual “Snap” architecture. It includes over 500 Snap connectors for SaaS, on-premises, and big data sources. Pipelines are designed in a drag-and-drop interface (Snap Studio) and executed on a managed platform with autoscaling. SnapLogic also provides AI-driven suggestion features (SnapLogic Iris) to accelerate pipeline creation.
Pros
500+ Snap connectors covering SaaS, databases, big data, and on-prem sources.
Visual pipeline designer (Snap Studio) with AI-driven suggestions (Iris) for mapping and transformations.
Serverless execution with autoscaling and multi-cloud support (AWS, Azure, GCP).
Supports real-time streaming (buses), batch, and IoT/edge integrations.
Cons
Premium pricing (connector-based, usage-based) can be cost-prohibitive for SMBs.
Designer interface can become cluttered when pipelines grow large; performance may degrade.
Limited offline or self-hosted options; fully SaaS-based.
Reviews & Quotes
Gartner Peer Review:
What I like about SnapLogic
“Overall i was able to create pipelines required easily to migrate and fill data manually, which helped me a lot and improved my performance.”
What I dislike about SnapLogic
“During development random bugs are appearing and there is missmatch with documentation”
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
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
Alooma
SnapLogic
Weld
Feature
Alooma
SnapLogic
Weld
Ease of Use & Interface
Side-by-side
Alooma
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.
SnapLogic
SnapLogic’s Snap Studio is a React-based canvas where users drag Snaps (pre-built connectors or transforms) into pipelines. Iris AI suggests mappings and transformations, reducing manual work. However, very large pipelines can slow down.
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.
Ease of Use & Interface
Side-by-side
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.
SnapLogic’s Snap Studio is a React-based canvas where users drag Snaps (pre-built connectors or transforms) into pipelines. Iris AI suggests mappings and transformations, reducing manual work. However, very large pipelines can slow down.
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
Alooma
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.
SnapLogic
SnapLogic’s pricing is typically $50k+ per year for moderate usage; connectors and runtime costs can add up. Large enterprises benefit from the wide connector catalog and AI features, but SMBs may find it expensive relative to needs.
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.
Pricing & Affordability
Side-by-side
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.
SnapLogic’s pricing is typically $50k+ per year for moderate usage; connectors and runtime costs can add up. Large enterprises benefit from the wide connector catalog and AI features, but SMBs may find it expensive relative to needs.
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
Side-by-side
Alooma
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.
SnapLogic
Features include: over 500 Snaps, real-time streaming, batch pipelines, AI-driven pipeline recommendations, multi-cloud deployment, built-in data quality, API management, and robust monitoring/alerting.
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.
Feature Set
Side-by-side
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.
Features include: over 500 Snaps, real-time streaming, batch pipelines, AI-driven pipeline recommendations, multi-cloud deployment, built-in data quality, API management, and robust monitoring/alerting.
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
Side-by-side
Alooma
Users could write custom JavaScript transforms or Python UDFs for complex logic. The platform managed infrastructure, but custom connectors required Eloqua code or support.
SnapLogic
SnapLogic allows custom Snaps to be written in Node.js or Python, enabling bespoke connectors or transforms. Pipelines can be parameterized, embedded into CI/CD, and triggered via REST APIs. However, no self-hosted runtime—is fully SaaS.
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.
Flexibility & Customization
Side-by-side
Users could write custom JavaScript transforms or Python UDFs for complex logic. The platform managed infrastructure, but custom connectors required Eloqua code or support.
SnapLogic allows custom Snaps to be written in Node.js or Python, enabling bespoke connectors or transforms. Pipelines can be parameterized, embedded into CI/CD, and triggered via REST APIs. However, no self-hosted runtime—is fully SaaS.
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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