Apache Spark vs Help Scout

Overview

Help Scout

Stacks341

Followers111

Votes60

Apache Spark

Stacks3.1K

Followers3.5K

Votes140

GitHub Stars42.2K

Forks28.9K

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Advice on Help Scout, Apache Spark

Nilesh

Technical Architect at Self Employed

Jul 8, 2020

Needs adviceon

Elasticsearch

Kafka

We have a Kafka topic having events of type A and type B. We need to perform an inner join on both type of events using some common field (primary-key). The joined events to be inserted in Elasticsearch.

In usual cases, type A and type B events (with same key) observed to be close upto 15 minutes. But in some cases they may be far from each other, lets say 6 hours. Sometimes event of either of the types never come.

In all cases, we should be able to find joined events instantly after they are joined and not-joined events within 15 minutes.

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Detailed Comparison

Help Scout	Apache Spark
With best in-class-reporting, an integrated knowledge base, 50+ integrations and a robust API, Help Scout lets your team focus on what really matters: your customers.	Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
No ticket #'s or robo-text;Get up and running in minutes;Outstanding support, no matter plan;Integrated knowledge base;40+ integrations;Real-time, best in class reporting;Multi-brand support;Saved replies; Private notes; Collision detection;75+ keyboard shortcuts;Automated Workflows;Help Desk, reports, and Docs API;Email integration	Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk;Write applications quickly in Java, Scala or Python;Combine SQL, streaming, and complex analytics;Spark runs on Hadoop, Mesos, standalone, or in the cloud. It can access diverse data sources including HDFS, Cassandra, HBase, S3
Statistics
GitHub Stars -	GitHub Stars 42.2K
GitHub Forks -	GitHub Forks 28.9K
Stacks 341	Stacks 3.1K
Followers 111	Followers 3.5K
Votes 60	Votes 140
Pros & Cons
Pros 19 Email based helpdesk 18 Great user experience 10 Reasonably priced 7 No helpdesk branding 6 Free plan for startups	Pros 61 Open-source 48 Fast and Flexible 8 One platform for every big data problem 8 Great for distributed SQL like applications 6 Easy to install and to use Cons 4 Speed
Integrations
Shopify Mixpanel HipChat Olark Campaign Monitor Slack Segment Mailchimp KISSmetrics Highrise	No integrations available

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