Elastic Reviews, Ratings & Features 2026 | Gartner Peer Insights

Gartner defines enterprise AI search as platforms that enable retrieval and synthesis of information across enterprise repositories. They are a key technology for developing AI assistants and AI agents that scale to enterprise needs using retrieval-augmented generation (RAG). They integrate with a wide range of advanced natural language processing (NLP), machine learning (ML) and large language model (LLM) technologies that are essential to knowledge management processes. They are designed to be customized and tuned for specific domains but often come with prepackaged integrations and experiences for some enterprise applications. Enterprise AI search tools are pivotal tools for humans and machines that need to find information and synthesize it to derive insight, so they can subsequently make decisions and take actions. These platforms connect to a wide variety of data sources, normalize and classify information, index it, and match and rank the most relevant results. Their user experiences are commonly customized and are increasingly used as a platform for building AI assistants for a wide variety of operational use cases. Those building RAG-based systems should consider how to configure enterprise search platforms to deliver AI assistants and, in the future, AI agents.

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Find the top Enterprise AI Search software with Gartner. Compare and filter by verified product reviews and choose the software that’s right for your organization.

Enterprise AI Search

Swiftype (Legacy)

Elastic Search

Elastic

Sdet

Overall, our experience with Elastic search has been very positive, particularly for implementing enterprise search and real time analytics across large datasets. The platform provides strong indexing and search performance, enabling teams to quickly retrieve and analyze data across multiple sources. As the platform evolves toward AI -powered search capabilities, it provides additional value though semantic search, vector search, and relevance  tuning. From an enterprise perspective , it supports a wide range of use cases including observability , log analytics, application search and knowledge discovery. However, successful adoption requires proper architecture planning, cluster management , and governance to ensure performance and cost efficiency at scale.

50M - 250M USD

<50M USD

250M - 500M USD

30B + USD

1B - 3B USD

500M - 1B USD

3B - 10B USD

10B - 30B USD

Gov't/PS/ED <5,000 Employees

Gov't/PS/ED 5,000 - 50,000 Employees

Gov't/PS/ED 50,000 + Employees

Project Manager

Search is pretty good, as well as the speed at which content is processed

IT Associate

Our overall experience has been very positive. We have been using Elastic search engine for our application use cases, mainly for log analytics and content discovery.

It does a great job with indexing and gives us fast search results even when the data grows. The data connectors make it easier to pull in information from different sources, and content processing feature help in preparing and structuring data for search.

The main challenge we faced was the initial setup and configuration. Getting indexing right and handling application integration took some time and effort , and there was a bit of learning curve. Once everything was in place, though, it has been stable and reliable for day-to-day use.

Overall, it's a strong and flexible search engine, just not something you can fully set up without some technical work upfront.

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Apache Software Foundation

Coveo

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Lucidworks

OpenText

Algolia

Cludo

ServiceNow

Algolia (Search.io)

Oracle

OpenText (Micro Focus)

Mindbreeze

Dassault Systèmes

Avathon

Attivio

expert.ai

Sinequa

EPAM

Upland (BA Insight)

Hyland

IHS Markit

Funnelback

IntraFind

Squirro

Elastic enables organizations to securely harness search-powered AI so anyone can find the answers they need in real-time using all their data, at scale. By integrating AI with search technology, it facilitates the discovery of actionable insights from large volumes of both structured and unstructured data, addressing the need for real-time, scalable data processing.

Our Elasticsearch Platform delivers search-powered AI for observability, security and search. Companies can now solve real-time business problems and achieve better business outcomes by taking advantage of massive amounts of structured and unstructured data, securing and protecting private information more effectively, and optimizing infrastructure and talent resources more efficiently.

Elastic’s complete, easy-to-use cloud-based platform offers solutions in search, security, and observability, aimed at aiding businesses in leveraging AI technology securely and effectively.

At Elastic, we help organizations, their employees, and their customers accelerate the results that matter. 

With solutions in Enterprise Search, Observability, and Security, we help enhance customer and employee search experiences, keep mission-critical applications running smoothly, and protect against cyber threats. Delivered wherever data lives, in one cloud, across many clouds, or on-prem, Elastic enables more than 50% of the Fortune 500, and 17,000+ customers including Netflix, Uber, Slack, and Microsoft, to achieve new levels of success at scale and on a single platform. Learn more at elastic.co.


Elastic is a company that provides solutions to organizations which significantly reduce the time their employees and customers spend on achieving results. The company's solutions include Enterprise Search, Observability, and Security, that aid in increasing the effectiveness of search experiences, ensuring the seamless functioning of vital applications, and offering protection against cyber threats. The services are designed and delivered to be versatile in their deployment, capable of functioning in a single cloud, multiple clouds, or on-premises. The offering of Elastic caters to numerous businesses globally, enabling them to achieve scalability and success.

Reviews

Ratings Overview

Overall experience with

Favorable Review

Powerful and scalable search engine with strong indexing capabilities, but requires careful setup and configuration to get the better results.

Critical Review

Fast content indexing helps, while app integration needs improvement

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