Compare Alooma vs. Matillion ETL

Alooma is ranked 21st in Cloud Data Integration while Matillion ETL is ranked 3rd in Cloud Data Integration with 7 reviews. Alooma is rated 0, while Matillion ETL is rated 8.4. On the other hand, the top reviewer of Matillion ETL writes "An inexpensive solution that's very fast and extremely easy to use". Alooma is most compared with Google Cloud Dataflow, Talend Data Streams and Amazon Kinesis, whereas Matillion ETL is most compared with Talend Open Studio, SSIS and Informatica Cloud Data Integration.
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Alooma Logo
266 views|232 comparisons
Matillion ETL Logo
10,196 views|6,662 comparisons
Most Helpful Review
Find out what your peers are saying about Seeburger, MuleSoft, Matillion and others in Cloud Data Integration. Updated: March 2020.
407,401 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pricing and Cost Advice
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The solution is very cheap. You're paying $2.50 an hour and if you set your service up, which you can do, you're not getting charged. Currently, our ETL process is just an overnight process that runs for about an hour. I can start and stop my server just for an hour if I want to and spent $2.50 a day for an ETL solution. There are no additional costs.The AWS pricing and licensing are a cost-effective solution for data integration needs.It was procured through the AWS Marketplace because it keeps things simple. They offer retail-like checkout and bill through your existing Amazon Web Services account.Purchasing it through the AWS Marketplace is pretty convenient. There is a little bit of back and forth in terms of the licensing based on the machine size, but it seems to have worked out well. it is convenient to have it all as part of our AWS billing.It is not necessarily a cheap solution. However, it's reasonable priced, especially with the smaller machines that we run it on.The prices needs to be lower.It was very easy to purchase through the AWS Marketplace, but it was also expensive.I have heard from my manager and other higher ups, "This product is cheaper than other things on the market," and they have done the research.

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Ranking
21st
Views
266
Comparisons
232
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
3rd
Views
10,196
Comparisons
6,662
Reviews
7
Average Words per Review
579
Avg. Rating
8.4
Top Comparisons
Compared 43% of the time.
Compared 24% of the time.
Compared 22% of the time.
Compared 22% of the time.
Compared 10% of the time.
Also Known As
Alooma PlatformMatillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
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Alooma
Matillion
Overview

Alooma enables data teams to have visibility and control. It brings data from your various data silos together to your data warehouse, all in real-time.

Matillion ETL for Redshift is a fast, modern, easy-to-use and powerful ETL/ELT tool that makes it simple and productive to load and transform data on Amazon Redshift.  100 x faster than traditional ETL technology, up and running in under 5 minutes and prices from $1.37 per hour, with no commitments or up-front costs.

Offer
Learn more about Alooma
Learn more about Matillion ETL
Sample Customers
Chatbooks, HotelTonight, InstaCart, Limebike, Nextel, OkCupid, Publicis, Sony, Strava, The New York Times, Vivint SolarThrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
Top Industries
No Data Available
VISITORS READING REVIEWS
Software R&D Company40%
Insurance Company10%
Financial Services Firm6%
Comms Service Provider6%
Find out what your peers are saying about Seeburger, MuleSoft, Matillion and others in Cloud Data Integration. Updated: March 2020.
407,401 professionals have used our research since 2012.
We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.