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Elasticsearch

Elasticsearch

Overview

What is Elasticsearch?

Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.

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Learn from top reviewers

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Pricing

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Standard

$16.00

Cloud
per month

Gold

$19.00

Cloud
per month

Platinum

$22.00

Cloud
per month

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Demos

How to create data views and gain insights on Elastic

YouTube

Setting Up a Search Box to Your Website or Application with Elasticsearch

YouTube

ChatGPT and Elasticsearch: OpenAI meets private data setup walkthrough

YouTube
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Product Details

What is Elasticsearch?

Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases. As the heart of the Elastic Stack, it centrally stores data for fast search, fine‑tuned relevancy, and analytics that scale.

Elasticsearch now features generative AI search capabilities. Elasticsearch Relevance Engine™ (ESRE) powers generative AI solutions for private data sets with a vector database and machine learning models for semantic search that bring increased relevance to more search application developers.

ESRE combines AI with Elastic’s text search to give developers a full suite of sophisticated retrieval algorithms and the ability to integrate with large language models (LLMs). It is accessed through a single, unified API.

The Elasticsearch Relevance Engine’s configurable capabilities can be used to help improve relevance by:

  • Applying advanced relevance ranking features including BM25f, a critical component of hybrid search
  • Creating, storing, and searching dense embeddings using Elastic’s vector database
  • Processing text using a wide range of natural language processing (NLP) tasks and models
  • Letting developers manage and use their own transformer models in Elastic for business specific context
  • Integrating with third-party transformer models such as OpenAI’s GPT-3 and 4 via API to retrieve intuitive summarization of content based on the customer’s data stores consolidated within Elasticsearch deployments
  • Enabling ML-powered search without training or maintaining a model using Elastic’s out-of-the-box Learned Sparse Encoder model to deliver highly relevant, semantic search across a variety of domains
  • Combining sparse and dense retrieval using Reciprocal Rank Fusion (RRF), a hybrid ranking method that gives developers control to optimize their AI search engine to their unique mix of natural language and keyword query types
  • Integrating with third-party tooling such as LangChain to help build sophisticated data pipelines and generative AI applications

Elasticsearch Video

What is Elasticsearch?

Elasticsearch Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.

Reviewers rate Support Rating highest, with a score of 7.8.

The most common users of Elasticsearch are from Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews From Top Reviewers

(1-5 of 48)

Elasticsearch Overall Review

Rating: 9 out of 10
December 29, 2023
JA
Vetted Review
Verified User
Elasticsearch
3 years of experience
We use Elasticsearch to analyze and visualize logs from various Engineering workflows. We have clusters defined for providing Application Performance Monitoring for a variety of Engineering applications, utilizing Beats and other processes to populate the data required for monitoring and analysis. We also capture metrics (for both servers and applications).

Great search, aggregation and visualization products.

Rating: 9 out of 10
March 31, 2024
JZ
Vetted Review
Verified User
Elasticsearch
6 years of experience
We use ECE platform and Elasticsearch for the delivery data to track delivery. And also use kibana for visualization of business analysis and KPI. We also ingest the log from different API and investigate when there is a trouble. We also use transform and machine learning feature to detect anomalies.

Elasticsearch is your way to go!

Rating: 9 out of 10
June 18, 2024
Vetted Review
Verified User
Elasticsearch
7 years of experience
Elasticsearch is an important service that we use frequently in the organization. We use Elasticsearch as a logging service for our system logs, Once we have the logs in Elasticsearch, we connect to Kibana and start building dashboards and charts that help us track our system stability and availability in terms of System metrics. On the other hand, we use it to track new bugs and errors. The other usage for Elasticsearch in our system is as a search engine. Elasticsearch is a very fast and amazing search engine, where we store some fields and call Elasticsearch APIs to fetch these fields when needed.

Elasticsearch is a tricky, but great data platform

Rating: 8 out of 10
November 09, 2021
BT
Vetted Review
Verified User
Elasticsearch
2 years of experience
We use Elasticsearch (Elastic for short, but that includes Kibana & LogStash so the full ELK kit) for 3 major purposes:
  • product data persistence - as JSON objects.
  • as log storage - different components produce log files in different formats + logs from other systems like the OSes and even some networking appliances.
  • as test automation results storage & reporting platform - this is an implementation we glimpsed from an old Trivago blog post.
Different forms of Elastic are being used across the company - the vanilla one, OpenDistro and OpenSearch. Licensing limbo + long-term support make people here jump from one implementation to another.

Search begets Search - Navigating your data progressively

Rating: 10 out of 10
June 10, 2021
KL
Vetted Review
Verified User
Elasticsearch
5 years of experience
We use Elasticsearch to Index and make available for Search and Navigation our proprietary data on the M&A landscape. It drives dashboards and alerts to allow users to monitor trends and the latest events that occur in our dataset. It aligns our research group with our bankers. We marry it to Couchbase and MS SQL-Server.
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