Amazon Elasticsearch Service vs Google Maps

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Amazon Elasticsearch Service

377
287
+ 1
24
Google Maps

41.8K
29.1K
+ 1
567
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Pros of Amazon Elasticsearch Service
Pros of Google Maps
  • 10
    Easy setup, monitoring and scaling
  • 7
    Kibana
  • 7
    Document-oriented
  • 253
    Free
  • 136
    Address input through maps api
  • 82
    Sharable Directions
  • 47
    Google Earth
  • 46
    Unique
  • 3
    Custom maps designing

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Cons of Amazon Elasticsearch Service
Cons of Google Maps
    Be the first to leave a con
    • 5
      Google Attributions and logo
    • 2
      Only map allowed alongside google place autocomplete

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    What is Amazon Elasticsearch Service?

    Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time.

    What is Google Maps?

    Create rich applications and stunning visualisations of your data, leveraging the comprehensiveness, accuracy, and usability of Google Maps and a modern web platform that scales as you grow.

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    What companies use Amazon Elasticsearch Service?
    What companies use Google Maps?
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    What tools integrate with Amazon Elasticsearch Service?
    What tools integrate with Google Maps?

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    What are some alternatives to Amazon Elasticsearch Service and Google Maps?
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    Amazon CloudSearch
    Amazon CloudSearch enables you to search large collections of data such as web pages, document files, forum posts, or product information. With a few clicks in the AWS Management Console, you can create a search domain, upload the data you want to make searchable to Amazon CloudSearch, and the search service automatically provisions the required technology resources and deploys a highly tuned search index.
    Elastic Cloud
    A growing family of Elastic SaaS offerings that make it easy to deploy, operate, and scale Elastic products and solutions in the cloud. From an easy-to-use hosted and managed Elasticsearch experience to powerful, out-of-the-box search solutions.
    ELK
    It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
    Postman
    It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
    See all alternatives