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Compare Apache Spark vs. Vert.x

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Apache Spark Logo
10,059 views|8,087 comparisons
Vert.x Logo
1,090 views|1,009 comparisons
Top Review
Find out what your peers are saying about Apache Spark vs. Vert.x and other solutions. Updated: September 2021.
542,267 professionals have used our research since 2012.
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Pricing and Cost Advice
"Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera."

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Questions from the Community
Top Answer: I don't think using Apache Spark without Hadoop has any major drawbacks or issues. I have used Apache Spark quite successfully with AWS S3 on many projects which are batch based. Yes for very high… more »
Top Answer: The solution has been very stable.
Top Answer: We use the open-source version. It is free to use. However, you do need to have servers. We have three or four. they can be on-premises or in the cloud.
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Ranking
1st
out of 11 in Java Frameworks
Views
10,059
Comparisons
8,087
Reviews
11
Average Words per Review
472
Rating
8.6
8th
out of 11 in Java Frameworks
Views
1,090
Comparisons
1,009
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
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Overview

Spark provides programmers with an application programming interface centered on a data structure called the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is maintained in a fault-tolerant way. It was developed in response to limitations in the MapReduce cluster computing paradigm, which forces a particular linear dataflowstructure on distributed programs: MapReduce programs read input data from disk, map a function across the data, reduce the results of the map, and store reduction results on disk. Spark's RDDs function as a working set for distributed programs that offers a (deliberately) restricted form of distributed shared memory

Vert. x is an open source, reactive and polyglot software development toolkit from the developers of Eclipse. Reactive programming is a programming paradigm, associated with asynchronous streams, which respond to any changes or events. Similarly, Vert.

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Sample Customers
NASA JPL, UC Berkeley AMPLab, Amazon, eBay, Yahoo!, UC Santa Cruz, TripAdvisor, Taboola, Agile Lab, Art.com, Baidu, Alibaba Taobao, EURECOM, Hitachi Solutions
hopscotch, liferay, zalando, ticketmaster, swisscom, tesco
Top Industries
REVIEWERS
Financial Services Firm40%
Computer Software Company20%
Marketing Services Firm10%
Non Profit10%
VISITORS READING REVIEWS
Computer Software Company23%
Comms Service Provider19%
Financial Services Firm11%
Media Company9%
VISITORS READING REVIEWS
Computer Software Company24%
Comms Service Provider24%
Financial Services Firm18%
Media Company6%
Company Size
REVIEWERS
Small Business38%
Midsize Enterprise21%
Large Enterprise41%
No Data Available

Apache Spark is ranked 1st in Java Frameworks with 10 reviews while Vert.x is ranked 8th in Java Frameworks. Apache Spark is rated 8.6, while Vert.x is rated 0.0. The top reviewer of Apache Spark writes "Good Streaming features enable to enter data and analysis within Spark Stream". On the other hand, Apache Spark is most compared with Spring Boot, Azure Stream Analytics, AWS Batch, AWS Lambda and HPE Ezmeral Data Fabric, whereas Vert.x is most compared with Spring Boot, Eclipse MicroProfile, Jakarta EE and Spring MVC.

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