Elasticsearch vs Yext Search Experience Cloud

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Elasticsearch

31.1K
23.8K
+ 1
1.6K
Yext Search Experience Cloud

8
9
+ 1
0
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Yext Search Experience Cloud vs Elasticsearch: What are the differences?

What is Yext Search Experience Cloud? Deliver official answers wherever your customers are searching. Consumer search behavior is changing rapidly. Take back control of your facts online, and deliver official answers wherever your customers are searching.

What is Elasticsearch? Open Source, Distributed, RESTful Search Engine. 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).

Yext Search Experience Cloud and Elasticsearch belong to "Search as a Service" category of the tech stack.

Some of the features offered by Yext Search Experience Cloud are:

  • Create your business’s Knowledge Graph
  • Answer questions on your website
  • Capture high-intent customer traffic

On the other hand, Elasticsearch provides the following key features:

  • Distributed and Highly Available Search Engine.
  • Multi Tenant with Multi Types.
  • Various set of APIs including RESTful

Elasticsearch is an open source tool with 51.4K GitHub stars and 17.8K GitHub forks. Here's a link to Elasticsearch's open source repository on GitHub.

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Pros of Elasticsearch
Pros of Yext Search Experience Cloud
  • 323
    Powerful api
  • 314
    Great search engine
  • 230
    Open source
  • 214
    Restful
  • 199
    Near real-time search
  • 96
    Free
  • 83
    Search everything
  • 54
    Easy to get started
  • 45
    Analytics
  • 26
    Distributed
  • 6
    Fast search
  • 5
    More than a search engine
  • 3
    Easy to scale
  • 3
    Awesome, great tool
  • 3
    Great docs
  • 2
    Potato
  • 2
    Document Store
  • 2
    Great customer support
  • 2
    Intuitive API
  • 2
    Reliable
  • 2
    Nosql DB
  • 2
    Fast
  • 2
    Easy setup
  • 2
    Highly Available
  • 2
    Great piece of software
  • 1
    Ecosystem
  • 1
    Scalability
  • 1
    Not stable
  • 1
    Github
  • 1
    Elaticsearch
  • 1
    Actively developing
  • 1
    Responsive maintainers on GitHub
  • 1
    Easy to get hot data
  • 1
    Open
  • 0
    Community
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    Cons of Elasticsearch
    Cons of Yext Search Experience Cloud
    • 7
      Resource hungry
    • 6
      Diffecult to get started
    • 5
      Expensive
    • 4
      Hard to keep stable at large scale
      Be the first to leave a con

      Sign up to add or upvote consMake informed product decisions

      What is 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).

      What is Yext Search Experience Cloud?

      Yext's Answers Platform collects and organizes content into a Knowledge Graph, then leverages a complementary set of products to deliver relevant, actionable answers wherever customers, employees, and partners look for information.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Elasticsearch?
      What companies use Yext Search Experience Cloud?
      See which teams inside your own company are using Elasticsearch or Yext Search Experience Cloud.
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      What tools integrate with Elasticsearch?
      What tools integrate with Yext Search Experience Cloud?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      Blog Posts

      May 21 2019 at 12:20AM

      Elastic

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      GitHubPythonReact+42
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      GitHubPythonNode.js+47
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      What are some alternatives to Elasticsearch and Yext Search Experience Cloud?
      Datadog
      Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
      Solr
      Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.
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      MongoDB
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      Algolia
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