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Software AG Apama vs Vitria VIA comparison

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387 views|283 comparisons
Vitria Logo
27 views|13 comparisons
Ranking
19th
out of 38 in Streaming Analytics
Views
387
Comparisons
283
Reviews
0
Average Words per Review
0
Rating
N/A
38th
out of 38 in Streaming Analytics
Views
27
Comparisons
13
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
Streaming Analytics
June 2022
Find out what your peers are saying about Databricks, Amazon, Solace and others in Streaming Analytics. Updated: June 2022.
607,127 professionals have used our research since 2012.
Comparisons
Also Known As
Progress Apama
VIA, VIA Analytics Platform
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Overview
Enables both sell-side and buy-side traders to leverage proprietary trading strategies.

VIA by Vitria is an agile analytics platform enabling rapid design, development, and deployment of solutions that solve problems by making sense of data - even the volume and speed of data coming from IoT devices. Agile analytics enables companies to react quickly to changes and improve business outcomes.

Offer
Learn more about Software AG Apama
Learn more about Vitria VIA
Sample Customers
Okasan Online Securities
Telefonica
Top Industries
VISITORS READING REVIEWS
Computer Software Company27%
Financial Services Firm19%
Non Tech Company5%
Wholesaler/Distributor5%
No Data Available
Company Size
VISITORS READING REVIEWS
Small Business21%
Midsize Enterprise7%
Large Enterprise72%
No Data Available
Buyer's Guide
Streaming Analytics
June 2022
Find out what your peers are saying about Databricks, Amazon, Solace and others in Streaming Analytics. Updated: June 2022.
607,127 professionals have used our research since 2012.

Software AG Apama is ranked 19th in Streaming Analytics while Vitria VIA is ranked 38th in Streaming Analytics. Software AG Apama is rated 0.0, while Vitria VIA is rated 0.0. On the other hand, Software AG Apama is most compared with Apache Spark Streaming, Apache Flink, TIBCO Streambase CEP, Aiven for Apache Kafka and IBM MQ, whereas Vitria VIA is most compared with .

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.