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Compare Aiven for Apache Kafka vs. Alooma

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Aiven for Apache Kafka Logo
146 views|118 comparisons
Alooma Logo
263 views|239 comparisons
Ranking
23rd
out of 38 in Streaming Analytics
Views
146
Comparisons
118
Reviews
0
Average Words per Review
0
Rating
N/A
20th
out of 38 in Streaming Analytics
Views
263
Comparisons
239
Reviews
0
Average Words per Review
0
Rating
N/A
Find out what your peers are saying about Databricks, Amazon, Solace and others in Streaming Analytics. Updated: October 2021.
541,708 professionals have used our research since 2012.
Comparisons
Also Known As
Alooma Platform
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Overview

Aiven provides managed open source data technologies on all major clouds.

Through Aiven, developers can do what they do best: create applications. Meanwhile, we do what we do best; manage cloud data infrastructure. We enable customers to drive business results from open source that trigger true transformations far beyond their own backyard.

Currently, we offer Apache Kafka, Apache Cassandra, PostgreSQL, MySQL, Elasticsearch, Redis, InfluxDB, Grafana, and M3 in more than 80 regions around the world on AWS, GCP, Microsoft Azure, DigitalOcean, and UpCloud cloud platforms.

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.

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Sample Customers
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Chatbooks, HotelTonight, InstaCart, Limebike, Nextel, OkCupid, Publicis, Sony, Strava, The New York Times, Vivint Solar
Find out what your peers are saying about Databricks, Amazon, Solace and others in Streaming Analytics. Updated: October 2021.
541,708 professionals have used our research since 2012.

Aiven for Apache Kafka is ranked 23rd in Streaming Analytics while Alooma is ranked 20th in Streaming Analytics. Aiven for Apache Kafka is rated 0.0, while Alooma is rated 0.0. On the other hand, Aiven for Apache Kafka is most compared with Confluent and Amazon MSK, whereas Alooma is most compared with Google Cloud Dataflow.

See our list of best Streaming Analytics vendors.

We monitor all Streaming Analytics 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.