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alooma VS Google Cloud Dataproc

Compare alooma VS Google Cloud Dataproc and see what are their differences

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Contents:
  1. » Base Details
  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.

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • alooma Landing page
    Landing page //
    2023-04-29
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

alooma videos

+ Add

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

Google Cloud Dataproc videos

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Dataproc

Category Popularity

0-100% (relative to alooma and Google Cloud Dataproc)

alooma

Google Cloud Dataproc

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

User comments

Share your experience with using alooma and Google Cloud Dataproc. For example, how are they different and which one is better?
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Reviews

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

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

Google Cloud Dataproc Reviews

We have no reviews of Google Cloud Dataproc yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Google Cloud Dataproc seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

alooma mentions (0)

We have not tracked any mentions of alooma yet. Tracking of alooma recommendations started around Mar 2021.

Google Cloud Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 2 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago

What are some alternatives?

When comparing alooma and Google Cloud Dataproc, you can also consider the following products

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

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

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

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.

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...

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