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alooma VS Qubole

Compare alooma VS Qubole and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

alooma logo alooma

alooma brings together a reliable data pipeline, an easy data transformation interface, and a powerful stream processor.

Qubole logo Qubole

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
  • alooma Landing page
    Landing page //
    2023-04-29
  • Qubole Landing page
    Landing page //
    2023-06-22

alooma videos

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Snowflake and Alooma — 3 minute demo

More videos:

  • Review - How the Alooma Data Pipeline works with the Snowflake Data Warehouse
  • Review - What Modern ETL looks like - Alooma

Qubole videos

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Fast and Cost Effective Machine Learning Deployment with S3, Qubole, and Spark

More videos:

  • Review - Migrating Big Data to the Cloud: WANdisco, GigaOM and Qubole
  • Review - Democratizing Data with Qubole

Category Popularity

0-100% (relative to alooma and Qubole)

alooma

Qubole

Business & Commerce
100 100%
Business & Commerce
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Development
100 100%
Development
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare alooma and Qubole

alooma Reviews

Top 14 ETL Tools for 2023
Nevertheless, Alooma has received generally positive reviews from users, with 4.1 out of 5 stars on G2. One user writes: “I love the flexibility that Alooma provides through its code engine feature… [However,] some of the inputs that are key to our internal tool stack are not very mature.”
Source: www.integrate.io
Top ETL Tools For 2021...And The Case For Saying "No" To ETL
Alooma is designed for enterprise-scale operations, so if you’re a small startup with a small operating budget, Alooma probably isn’t for you. Also note that as of 2019, “Alooma is only accepting new customers that are migrating to Google Cloud Platform.”
Source: blog.panoply.io
Top 7 ETL Tools for 2021
Nevertheless, Alooma has received generally positive reviews from users, with 4.0 out of 5 stars on G2. One user writes: “I love the flexibility that Alooma provides through its code engine feature… [However,] some of the inputs that are key to our internal tool stack are not very mature.”
Source: www.xplenty.com
The 28 Best Data Integration Tools and Software for 2020
Description: Alooma offers a data pipeline service that integrates with popular data sources. The Alooma platform features end-to-end security, which ensures that every event is securely transferred to a data warehouse (SOC2, HIPAA, and EU-US Privacy Shield certified). The solution responds to data changes in real-time to make sure no events are lost. Users can choose to...
Source: solutionsreview.com
The Top 14 Marketing Analytics Tools For Every Business
Alooma allows data teams to have control and visibility. The platform brings data in real-time from various sources together into a data warehouse, such as Redshift, Snowflake, and BigQuery. Users can avoid data loss or duplicates, as well as control the entire ETL process. The tool features real-time visualizations, code engine, data mapper, querying of data.
Source: improvado.io

Qubole Reviews

We have no reviews of Qubole yet.
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What are some alternatives?

When comparing alooma and Qubole, you can also consider the following products

Striim - Striim provides an end-to-end, real-time data integration and streaming analytics platform.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

HVR - Your data. Where you need it. HVR is the leading independent real-time data replication solution that offers efficient data integration for cloud and more.

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

Celonis - Celonis offers process mining tool for analyzing & visualizing business processes.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

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