Alooma Pricing, Features, Reviews & Comparison of Alternatives


Data pipeline as a service

3.5/5 (4 reviews)

Alooma overview

What is Alooma?

Alooma provides data pipeline as a service, and Alooma's can be used to export, transform, and load data into BigQuery, Redshift, and Snowflake for artificial intelligence(AI), machine learning, analytics, business intelligence (BI), and reporting. The platform offers a code engine, data mapper, a restream queue for error processing, and a live data visualization tool for data stream monitoring.


Pricing options
Free trial
Value for money
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Business size



United States

Supported languages

Alooma screenshotWhat Modern ETL looks like - AloomaAlooma screenshotAlooma screenshotAlooma screenshotAlooma screenshotAlooma screenshotAlooma screenshotAlooma screenshotAlooma screenshotAlooma screenshotAlooma screenshot

Alooma user reviews

Value for money
Ease of use
Customer support
Sheel Choksi

A Great Way to Outsource a Lot of ETL

Used weekly for 2+ years
Reviewed 2018-09-15
Review Source: Capterra

Great experience, their team and product are fantastic.

There's a lot that goes into an ETL pipeline and Alooma has a lot of those pieces covered. Even from just using the product, it's obvious that the foundational organization of Alooma's code and features is well thought out and we've been able to very quickly add data sources that we need without a large engineering burden.

Some of the features are only present in the API and haven't yet made its way to the UI/dashboard. It would definitely be helpful to have consistency here.

Rating breakdown

Value for money
Ease of use
Customer support

Likelihood to recommend: 8/10

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Kate Zhou

We are moving away from Alooma

Used weekly for less than 6 months
Reviewed 2020-01-07
Review Source: Capterra

It was good while we were small and had small problems to fix, but it's not scalable.

The data transformations were quick and easy to do because it was in Python and you were able to sample from the data pool to test the transformations before pushing them live.

As our company grew, Alooma was not able to handle the increasing data pipelines and would often break and the UI became way too messy.

Rating breakdown

Ease of use

Likelihood to recommend: 4/10

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Sanjay Patel

Not easy to use and navigate, missing many functionalities

Used weekly for 2+ years
Reviewed 2018-09-19
Review Source: GetApp

Compare to other ETL/ELT tools I done't see anything good in Alooma. It's just data pipeline, with no visibility on data movement.

A lot of cons, lacking the capabilities to transform data. Not user friendly, data debug very difficult.

Rating breakdown

Value for money
Ease of use
Customer support

Likelihood to recommend: 3/10

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Alooma pricing

Pricing options
Free trial
View Pricing Plans

Contact Alooma for pricing information.

Alooma features

Activity Dashboard
Automatic Notifications
Collaboration Tools
Drag & Drop Interface
Real Time Data
Third Party Integration

Access Control (176 other apps)
Activity Tracking (127 other apps)
Alerts / Escalation (124 other apps)
Auditing (122 other apps)
Compliance Management (132 other apps)
Data Import/Export (170 other apps)
Data Visualization (128 other apps)
Real Time Monitoring (151 other apps)
Reporting & Statistics (200 other apps)
Search Functionality (120 other apps)
User Management (110 other apps)
Workflow Management (140 other apps)

Videos and tutorials

Additional information for Alooma

Key features of Alooma

  • ETL - Extract / Transfer / Load
  • No-code sandbox
  • Collaboration
  • Data blends
  • Data cleansing
  • High volume processing
  • Data mining
  • Kafka streaming
  • Data integration
  • Schema management and mapping
  • Data enrichment and cleansing
  • Data warehouse connectors
  • Custom data flows
  • Error handling
  • Code engine
  • Restream queue
  • Sessionizing
  • Mismatch cleansing
  • Custom notifications
  • Automated change management
  • Custom data mappings
  • HIPAA compliant
  • Real-time notifications
  • Real-time sync
  • Cloud app integrations
  • Data transformations
  • Database integrations
  • Drag-and-drop interface
  • Throughput & latency monitoring
  • Geo-location enrichment
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Integration with GitHub allows users to write managed and versioned code in their own environment, and automatically updates Alooma as users commit code.

The built-in data integrity engine and Restream Queue automatically catches unloaded events resulting from data type mismatches or schema changes, acting as a safety net to ensure no data is lost.

Alooma connects to Kinesis streams and Kafka topics, allowing users to view events, measure metrics, collect data, and filter streams in real-time.

Alooma infers schemas for structured and semi-structured data, and allows users to create custom data mappings or automatically map integrations with OneClick.

Alooma encrypts all data in motion and does not permanently store any data, and is EU-US Privacy Shield certified and SOC 2 Type II compliant.