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Elasticsearch Reviews & Product Details - Page 20

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Elasticsearch Overview

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What is Elasticsearch?

Build next generation search experiences for your customers and employees that support your organization’s technology objectives. Elasticsearch gives developers a flexible toolkit to build AI-powered search applications with an extensible platform that also provides out of the box capabilities Save development cycles and get upgraded search to market faster. Elasticsearch is the world’s most popular search engine, backed by a robust developer community. Elastic’s platform lets you ingest any data source, build modern search experiences that integrate with large language models and generative AI, and visualize analytics for data-driven decision-making and insights. Our consistent investments in machine learning help developers stay ahead of the curve with the fast, highly relevant search, at scale. -- Flexible platform and toolkit to deliver powerful search functionality regardless of development resources and technology objectives. Our open platform delivers consistent functionality for cloud, hybrid, or on-prem deployments with exceptional performance, reliability, and scalability. -- Built-in search analytics and visualization tools give teams access to search data and real-time dashboards for optimizing search results and operations. Non-tech teams can tune search experiences too–no development team needed. -- Next level search relevance using textual search, vector search, hybrid, and semantic search and machine learning model flexibility. Powerful capabilities like a vector database provide the foundation for creating, storing, and searching embeddings to capture the context of your unstructured data. Use machine-learning enabled inference at data ingestion, and bring your own model - open or proprietary - to deliver the best, industry-specific results.

Elasticsearch Details

Discussions

Elasticsearch Community

Languages Supported

English

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Product Description

Create and manage a search experience tailored to your specific needs in no time, thanks to seamless indexing, best-in-class relevance and intuitive customization features.

Seller

Elastic

Description

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

Overview Provided by:

Mishi Schueller

Elasticsearch Integrations

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Integration information sourced from real user reviews.

Elasticsearch Media

G2 reviews are authentic and verified.

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Verified User in Marketing and Advertising

Mid-Market (51-1000 emp.)

6/13/2016

"Searching for site content through websites configurations"

5/5

What do you like best about Elasticsearch?

10 our of 10 on the basis of searching and researching the site content through parallax and simple site design. Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

The tool is robust but we're still trying to understand the account settings ffeature. Updating the email section can be incredibly difficult to present at a meeting. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Mid-Market (51-1000 emp.)

1/13/2017

"I have used Elasticsearch on production by 2 years"

5/5

What do you like best about Elasticsearch?

elasticsearch allow me to scale out flexibly and rapidly as my data grows (horizontal scale) Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

I can't add a new parent/child relation once the index already created. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Enterprise (> 1000 emp.)

5/31/2016

"Elastic search is a great tool for searching across a large body of documents."

5/5

What do you like best about Elasticsearch?

ES is easy to get up and get running. Building a multi node farm is also fairly easy. The community around Elastic Search is growing and very helpful if you reach out with questions as your getting setup. Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

There seems to be some inconsistency when it comes to query performance. While initial setup of environments seems easy there are some gotchas that you really need to read through the documentation completely in order to avoid. Review collected by and hosted on G2.com.

Recommendations to others considering Elasticsearch:

Pay attention and read through all of the documentation in the starter guide as well as the performance recommendations. Review collected by and hosted on G2.com.

What problems is Elasticsearch solving and how is that benefiting you?

We are utilizing Elastic Search to build our Enterprise Search web application that searches across our internal employees, documents, and social content (blogs, microblogs, videos, etc). Review collected by and hosted on G2.com.

Paulo Vitor R.

Software Developer

Environmental Services

Enterprise (> 1000 emp.)

3/20/2016

"Flexible, easy to use and powerful"

5/5

What do you like best about Elasticsearch?

Elasticsearch is an amazing search engine. Its architecture is simple and very, believe me, very easy to setup using any configuration management system such as Chef or Puppet.

The "auto discovery" is another strong point. It makes your node cluster much more resilient to failures and make it much more flexible as well. You can easily replace nodes on the fly for maintenance or even for increase / decrease your search infrastructure.

I would also highlight that you don't need any extra software in your ecosystem in order to create a cluster. (in Solr, for example, it's necessary) Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

It's not directly about the Elasticsearch itself but its miss usage. I've seen people using it directly as a NoSQL databse. The problems in this approach, in my point of view are: Lucene (elastichsearch works upon it) has no transaction concept and if, for some reason (changing mapping config, for example), you need to re-index your data, you will need to copy it and then reindex (such a dirty job). Review collected by and hosted on G2.com.

Recommendations to others considering Elasticsearch:

Combining the easy setup and administration with multi-index search, auto-discovery for the nodes, and the intuitive rest API, you can easily see why Elasticsearch is a good option. But beware, don't add a search engine to your ecosystem just because it's nice, even the best tools will increase your ecosystem's complexity. So it needs to really solve important business problems. Review collected by and hosted on G2.com.

What problems is Elasticsearch solving and how is that benefiting you?

We used Elasticsearch to allow the users to search content across many indices, using the multi index search. We had indices for articles, galleries, photos and editorial lists. All of them could be searched at the same time by editors in our Content Management System. Review collected by and hosted on G2.com.

Verified User in Telecommunications

Mid-Market (51-1000 emp.)

10/31/2016

"Great search engine"

5/5

What do you like best about Elasticsearch?

Very fast search. Mostly intuitive plugins. Great integration with other 3rd parties. Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

It diesn't designed and actualy awfull as a data base.

Missing some search functionality that was useful in relation db. Review collected by and hosted on G2.com.

Israel F.

Software Engineer

Mid-Market (51-1000 emp.)

3/13/2016

"A scalable and easy to use search solution"

5/5

What do you like best about Elasticsearch?

It's lightning fast to answer a query, it's distributed by default and has hundreds of plugins and addons to play with, you don't need to be an expert to get it up and running. One of the things I really love is how easy it is to set up replication, it autodiscovers other clusters automatically and mirrors the data.

Also, if used with the "head" plugin, you can monitor the health of your cluster and your indexes in real time and make queries in an easy way through a WYSIWYG interface or a query editor. Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

The query language is JSON based, which is good but it tends to bee too verbose and queries can get unintuitive, large and ridiculously complex. Review collected by and hosted on G2.com.

Recommendations to others considering Elasticsearch:

Don't use it as a main data store as your search index might get corrupted or inconsistent, you'll need a main source of truth and it has to be a persistent database like MySQL, Postgres or MongoDB to rebuild your indexes. Review collected by and hosted on G2.com.

What problems is Elasticsearch solving and how is that benefiting you?

Search within our publications, it's lightning fast and it's the right solution to scale your search service on your website if you have a large traffic. I would recommend to have it since the beginning. Review collected by and hosted on G2.com.

Verified User in Design

Small-Business (50 or fewer emp.)

9/8/2016

"Powerful search with a simple API"

4.5/5

What do you like best about Elasticsearch?

That would have to be deployment. You have to actually go out of your way to mess up an install. Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

While the API interface is pretty straight forward, having deeply nested hashes can be a little cumbersome. Review collected by and hosted on G2.com.

Eric M.

Principal Software Engineer

Computer Software

Mid-Market (51-1000 emp.)

12/16/2015

"Scalable, easy-to-use, easy-to-configure document search"

5/5

What do you like best about Elasticsearch?

Easy-to-configure interface and scalability. I use ElasticSearch to augment slower, MySQL-based document collections and the in-memory indexing and searchability is a huge win! Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

The built-in Marvel plugin is "free for development use" but continues to nag as if I need a license regardless. Review collected by and hosted on G2.com.

Recommendations to others considering Elasticsearch:

ElasticSearch itself requires a server to run. If you're already running a Linux development server, adding ElasticSearch is straight-forward. If you aren't, you'll need a secondary server to run the application. Review collected by and hosted on G2.com.

What problems is Elasticsearch solving and how is that benefiting you?

We use WordPress for project hosting and its search capabilities aren't performant at all. We use ElasticPress to augment the slower MySQL database such that content is easily discoverable, including the various meta information stored elsewhere in a relational database. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Enterprise (> 1000 emp.)

7/28/2016

"Elasticsearch, Logstash & Kibana"

3.5/5

What do you like best about Elasticsearch?

Best for large scale application with quantity matters than quality data. Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

Need more examples of successful project implementation and product blogs etc... Review collected by and hosted on G2.com.

Bruno B.

Architecte Data / Développeur

Mid-Market (51-1000 emp.)

3/11/2016

"The best search engine"

4.5/5

What do you like best about Elasticsearch?

Easy to setup.

Easy to insert data.

Easy to query data (at the beginning).

Very nice web API.

Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

The documentation is sometimes not very clear to request parameters and perhaps users will re-index their data before obtaining the best search result. Review collected by and hosted on G2.com.

What problems is Elasticsearch solving and how is that benefiting you?

Problem : get a complete view of all the informations of customers.

The data are scattered across multiple sources (RDBMS, file, ...)

Putting them in a unique system (elasticsearch) and building search-based applications that query this data lake give a large benefit to the employees to rapidly get a complete information about customers. Review collected by and hosted on G2.com.