Compare AWS Fargate vs. Apache Spark

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Apache Spark Logo
11,289 views|9,168 comparisons
AWS Fargate Logo
1,421 views|1,384 comparisons
Most Helpful Review
Find out what your peers are saying about Apache, Amazon, StackStorm and others in Compute Service. Updated: February 2021.
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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: SQreamDB is a GPU DB. It is not suitable for real-time oltp of course. Cassandra is best suited for OLTP database use cases, when you need a scalable database (instead of SQL server, Postgres)… more »
Top Answer: I love every core functionality of Apache Spark Initially they have only provided RDD basic interface to process the data across distributed cluster. Then it evolved to dataframe and dataset interface… more »
Top Answer: Apache spark is available in cloud services like AWS cloud, Azure. We have to use the specific service for our use case. For example we can use AWS Glue which runs spark for ETL process, AWS EMR… more »
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Ranking
1st
out of 13 in Compute Service
Views
11,289
Comparisons
9,168
Reviews
13
Average Words per Review
400
Rating
8.2
8th
out of 13 in Compute Service
Views
1,421
Comparisons
1,384
Reviews
0
Average Words per Review
0
Rating
N/A
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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

A new compute engine that enables you to use containers as a fundamental compute primitive without having to manage the underlying instances. With Fargate, you don’t need to provision, configure, or scale virtual machines in your clusters to run containers. Fargate can be used with Amazon ECS today, with plans to support Amazon Elastic Container Service for Kubernetes (Amazon EKS) in the future.

Fargate has flexible configuration options so you can closely match your application needs and granular, per-second billing.

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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
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Top Industries
REVIEWERS
Financial Services Firm44%
Computer Software Company22%
Marketing Services Firm11%
Non Profit11%
VISITORS READING REVIEWS
Computer Software Company25%
Comms Service Provider19%
Media Company10%
Financial Services Firm10%
VISITORS READING REVIEWS
Media Company36%
Computer Software Company22%
Comms Service Provider12%
Financial Services Firm5%
Company Size
REVIEWERS
Small Business38%
Midsize Enterprise22%
Large Enterprise41%
No Data Available
Find out what your peers are saying about Apache, Amazon, StackStorm and others in Compute Service. Updated: February 2021.
465,623 professionals have used our research since 2012.

Apache Spark is ranked 1st in Compute Service with 13 reviews while AWS Fargate is ranked 8th in Compute Service. Apache Spark is rated 8.2, while AWS Fargate 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, SAP HANA and IBM Streams, whereas AWS Fargate is most compared with AWS Batch, Amazon Elastic Inference, Amazon EC2 Auto Scaling, Apache NiFi and Oracle Compute Cloud Service.

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