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Elasticsearch Reviews & Product Details - Page 7

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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.

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Verified User in Financial Services

Enterprise (> 1000 emp.)

12/31/2021

"Need Search Functionality , Try -> ElasticSearch"

5/5

What do you like best about Elasticsearch?

1. Providing all the required stuff for the UI like a Search bar, Auto Suggestions, Filters, Paginations etc..

2. Support of most of the programming languages

3. Their Component Library to reuse and update

4. Scraping the site and providing the required contents in the search Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

Not providing much feasibility on updating the UI components they are providing. Cost-wise it's a little high. Need to increase their trial period. And less tutorial for this Review collected by and hosted on G2.com.

Recommendations to others considering Elasticsearch:

If you want to incorporate a scalable search bar with less code implementation then you will definitely like elastic search Review collected by and hosted on G2.com.

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

We have added the search bar into our homePage with the help of elastic search. It has provided all the required functionalities for the search, we have not created any API's for it. Less code. Review collected by and hosted on G2.com.

Verified User in Computer Software

Enterprise (> 1000 emp.)

9/2/2021

Business partner of the seller or seller's competitor, not included in G2 scores.

"Running Search for hundreds of global CPG company's brand Websites"

3.5/5

What do you like best about Elasticsearch?

People coming from Google Search Experience will be easily able to relate easy of use what you wull get from the Swiftype implementation. Drop in Javascript on your website & additional markup elements within content of your website will enable you great search & features like auto complete etc., for which you don't need to code. Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

Pricing & Licensing had jump since it's been acquired by Elastic Search. Review collected by and hosted on G2.com.

Recommendations to others considering Elasticsearch:

Swiftype is a good product, but it is in EOL by 2023 as it is acquired by Elastic Search, so if you wish to continue work with Elastic Search, then it is an excellent product. Otherwise, there are alternatives like Algolia etc., Review collected by and hosted on G2.com.

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

Providing full site search with Free Text search on the website is made easy by Swiftype.

You don't need to write custom code to enable tracking, able to view the analytics of the search being done on the website & get insights into what your customers are looking onto your website. Review collected by and hosted on G2.com.

Verified User in Computer Software

Mid-Market (51-1000 emp.)

10/18/2021

"Awesome Search Engine in market."

4/5

What do you like best about Elasticsearch?

1. One of the best search engines with flexible content search.

2. one of the USPs is Open source and works for extensive database search, which is fast and scalable as required.

3. one of the first tools having extensive textbase search and duplicate delete functionality.

4. Used for extensive databases like geo data and unstructured data.

5. Data is in JSN format, which is lightweight and easy to operate.

6. Sometimes, we can use this for Application performance measuring and log search. Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

1. It sometimes becomes messy while operating more extensive data.

2. occupies maximum space and becomes fuzzy.

3. There is no GUI for operating. Review collected by and hosted on G2.com.

Saurabh G.

Senior iOS Developer (Remote)

Small-Business (50 or fewer emp.)

10/13/2020

"Fast and efficient tool to search all kind of documents"

4.5/5

What do you like best about Elasticsearch?

1. Allows to store, search, and analyse big volumes of data quickly and in near real time,

2. Useful in applications where complex search features are required,

3. Fast as it does index search,

4. Free, open source,

5. Scalability,

6. Query fine tuning,

7. RESTful API. Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

1. It doesn't support multi language requests and response.

2. It is not so simple to learn. There are many things to learn and needs signifacant amount of time. Review collected by and hosted on G2.com.

Recommendations to others considering Elasticsearch:

Elasticsearch does what it claims. It is very efficient and fast with great searching capabilities. Recommended for SMB's to large enterprises. Review collected by and hosted on G2.com.

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

We use Elasticsearch in our app for auto-completion and did-you-mean functionality. Auto-completion functionality helps point users to relevant documents as they type. `did-you-mean` functionality allows correcting queries with typos and suggesting the most relevant search request to users. Review collected by and hosted on G2.com.

Jasmeet singh V.

Software Developer

Enterprise (> 1000 emp.)

10/7/2021

"Advanced search mechanism with elastic search"

5/5

What do you like best about Elasticsearch?

I don't know the backend of elastic search but the way it perform searches is incredible. I have 90000 records in my index and each record was quite huge but still while fetching it just didn't take long time.

It work very fast and incredibly Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

There should be some proper documentation for request and expected response from elastic search. Review collected by and hosted on G2.com.

Verified User in Apparel & Fashion

Small-Business (50 or fewer emp.)

12/9/2021

"Very versatile search engine makes my services fast as the speed of light"

4/5

What do you like best about Elasticsearch?

- Elasticsearch has a very good speed of search along with the ability to ingest any kind of unstructured data.

- Going through the elasticsearch data with Kibana is a plus. Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

- Documentation is often very confusing.

- Error reporting is not clear sometimes due to which it takes time to debug the queries. Review collected by and hosted on G2.com.

Recommendations to others considering Elasticsearch:

Read the documentation thoroughly and try to optimize the queries by using multiple ways. Review collected by and hosted on G2.com.

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

We are using elasticsearch to store eCommerce product details using Kafka and log-stash. Elasticsearch has very good speed and its easy to ingest data using Python. Review collected by and hosted on G2.com.

Andriy S.

Back End Developer

Small-Business (50 or fewer emp.)

12/17/2020

"Best tool for web analytics, log analysis and works pretty well like a db"

5/5

What do you like best about Elasticsearch?

Elastic search is the best tool for working with textual information.

The first advantage is a speed of search of your indexed documents. Millions of documents can be processed and be ready for search immediately.

The second big advantage of elastic search is its scalability. You can start with 1 node but when your project grows you simply adding nodes to the cluster and elastic search manages everything by itself and transfer data equally among nodes.

The third advantage is pretty powerful "free-tier" which is ideal for the startup projects.

Elastic search has a lot of products from the same company ("Elastic stack") which as a set is very powerful "toolbox" for solving set of problems such as: website log analysis, analyzing scientific information, presenting information in graphical form.

My favorite feature is data aggregations when the developer can set a query inside query and then split response for buckets and aggregations do not add any time for query execution.

Working with GEO - data "out- of-the-box"

Elastic search uses http access which is much more convenient than working with Java Lucene directly. In addition response is given is JSON, which is very easy to process.

Additionally it has almost all main languages package support, so we parse data with GO-lang and show it on the website with Java-script. Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

It's hard to find... However elastic search requires a lot of operative memory as its based on Java and Java Virtual Machine. Its Query DSL (Domain Specific Language) is very different from SQL, so it has some learning curve. Review collected by and hosted on G2.com.

Recommendations to others considering Elasticsearch:

The first recommendation is security - ALWAYS protect 9200 default port (it's better to change the default port in settings), also close a Kibana port 5601. You will be hacked immediately and all your data will be deleted. Review collected by and hosted on G2.com.

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

We use elastic search like a database in real estate website. It fits much better to the task than a SQL database as it provide much more capabilities for data analysis. Review collected by and hosted on G2.com.

Santosh B.

Technical Advisor

Small-Business (50 or fewer emp.)

3/16/2021

"Elasticsearch for data business"

5/5

What do you like best about Elasticsearch?

Setting up ES is quick and easy for experimentation with Docker. Creating an index on ES is a seamless app experience. Due to the large user base, building frontend apps with ES integration was easy to hire for. Review collected by and hosted on G2.com.

What do you dislike about Elasticsearch?

The only downside is the work you need to do to structure the date before import. It’s also difficult to update the ES mapping afterwards Review collected by and hosted on G2.com.