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Overview

What is Alooma?

Alooma is a data integration product providing ETL capabilities with a focus on output to data warehouse. It also offers pipeline monitoring and error handling protocols.

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Pricing

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What is Alooma?

Alooma is a data integration product providing ETL capabilities with a focus on output to data warehouse. It also offers pipeline monitoring and error handling protocols.

Entry-level set up fee?

  • No setup fee

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  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Alternatives Pricing

What is Zapier?

The Zapier Automation Platform designed to integrate data between web apps. It is scaled for small to mid-sized businesses, with a functional but limited free version of the program.

What is Boomi?

Boomi is a cloud-based, on-premise, or hybrid integration platform. It offers a low-code/no-code interface with the capacity for API and EDI connections for integrating with external organizations and systems, as well as compliance with data protection regulations.

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Product Details

What is Alooma?

Alooma is a data integration product acquired in the Spring of 2019 by Google. Alooma specializes as a scalable ETL pipeline with optimized output for data warehouses. It offers data transformation and mapping capabilities, and a variety of prebuilt connectors and customizable data transformations for the technical and non-technical alike. It also provides pipeline monitoring capabilities and error handling protocols to smoothly integrate data from multiple sources.

Alooma Video

Say hi to Alooma--the best data pipeline in the world! Alooma lets you integrate all your data sources - like databases, applications and any API, with your own Amazon Redshift. It takes only minutes to set up. Once you're done integrating, map your schemas to tables manuall...
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Alooma Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews From Top Reviewers

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Users have relied on the architecture of the product to pipeline real-time data sources like databases, benefiting from its high availability and fault tolerance. Enterprises have found this feature particularly helpful in solving pipeline problems and ensuring consistency and quality at an enterprise level. The product seamlessly integrates with existing platforms, allowing users to review their data with ease. However, scalability has been a concern for some users, especially when connecting multiple data sets to destinations. Configuration and compatibility issues have been reported in such scenarios.

On the other hand, the product has played a crucial role in centralizing data for users, enabling them to consolidate all their data within a month. This centralized approach has successfully addressed various business problems by providing the ability to analyze data from different sources. Users appreciate the expertise of the team behind the product and have had positive experiences overall. Additionally, the product has proven effective for extracting, transforming, and loading data from diverse sources into data warehouses, including internally built systems, cloud software, and third-party vendors.

Efficient Data Pipeline Building: Several reviewers have mentioned that Alooma's data pipeline building process is quick and efficient, taking only a minute to complete. This has been appreciated by users who value a streamlined and time-saving solution.

Import Data from Any Source: Many users have praised the ability of Alooma to import data from any source, considering it an awesome feature. This flexibility allows users to easily gather data from different platforms and systems, enhancing their data integration capabilities.

Simplicity and Ease of Use: The ease of use and intuitive interface of Alooma have been repeatedly highlighted by reviewers. Users of any level find it easy to navigate and use the platform, making it accessible for both technical and non-technical users alike.

Limited Support for Data Sources: Some users have mentioned that Alooma does not support a wide range of data sources natively, which may be limiting for those who require diverse options. For example, some reviewers expressed the need for integration with specific databases or applications that are currently not supported by Alooma.

High Pricing: Several reviewers have indicated that the pricing of Alooma should be reconsidered as it may be perceived as too high or not providing sufficient value. They feel that the cost does not align with the features and benefits offered by the software.

Lack of Scalability: A number of users have experienced issues with scalability as their companies grew. They found that Alooma was unable to handle increasing data pipelines, resulting in system breaks and a cluttered user interface. This could pose challenges for larger organizations looking to expand their data processing capabilities.

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A great vendor to manage an ELT stack

Rating: 8 out of 10
January 25, 2019
Vetted Review
Verified User
Alooma
2 years of experience
Used to ETL data from various data sources into our data warehouse. Data sources include internally built systems on cloud software, as well as third party vendors (such as a contact center, marketing CMS systems, ad spend data, etc.) Alooma allows management of all these data sources as well as transformation in order to manage the data warehouse schema.
  • Transformation of data before entering the data warehouse -- allows for a consistent/understandable schema for analytics teams.
  • Adding of additional data sources: Alooma has a large library of pre-built, common 3rd party vendors for which data is often needed to be ETL-ed.
Cons
  • More tools on managing the data warehouse itself. Although great on the ingest and transformation of data, more help provided by the tool on managing the outputs would be welcome.
  • Increase possibilities in the transformation step, rather than single event transformations.
Very appropriate for managing an ELT stack -- Alooma handles the 'E' and 'L' pieces very well. Due to the way transformation is setup, it is more on the lightweight side of things and thus works for this kind of stack. For more traditional ETL stacks, Alooma would probably not be the right fit.
Cloud Data Integration (6)
75%
7.5
Pre-built connectors
80%
8.0
Connector modification
70%
7.0
Support for real-time and batch integration
70%
7.0
Data quality services
80%
8.0
Data security features
70%
7.0
Monitoring console
80%
8.0
  • Allowing for additional data sources to more automation capability around monitoring the business is a huge ROI
Haven't used the alternatives, since Alooma was one of the earlier ones to the market. From a cursory viewing, however, the features seem to match relatively similarly.
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