Gartner defines Insight Engines as follows: Insight engines apply relevancy methods to discover, analyze, describe and organize content and data. They enable the interactive or proactive delivery or synthesis of information to people, and data to machines, in the context of their respective business moments.
Insight engines should be viewed as platforms on which applications are provided, developed or augmented by applying the capabilities listed above to specific employee and customer experience use cases. Such applications are provided out of the box by vendors (e.g., intranet or site search), developed through technical partnerships (e.g., search within third-party applications), developed with customers in-house (e.g., expert finder), or developed through integration with third-party applications (e.g., extracting data from documents to support RPA).

Insight Engines

Gartner defines Search and Product Discovery as applications that augment digital commerce solutions to facilitate navigation, filtering, comparisons, and ultimately selection of products. They provide search (keyword, natural language and visual), merchandising (automation, configuration, and curation of business rules to make a product discoverable based on business needs), product recommendations, catalog navigation (and SEO keyword automation), personalization and analytics capabilities through SaaS to enable customers (B2C and B2B) to transact. They also enable providers (merchandisers, content managers, and search specialists) to support customer experiences. With the emergence of generative AI, conversational search interfaces are now appearing.
Search and Product Discovery applications use product data to facilitate navigation, filtering, comparisons and ultimately product selection. Search results can be highly visual, using engaging layouts and multimedia. Content other than product information, such as educational information, compliance materials and related news may also be included in search results to engage customers and further support buying decisions.

Search and Product Discovery

An enterprise search engine is a specialized search tool designed to help organizations index, search, and retrieve information stored within their internal data repositories. Unlike general web search engines that index and search the entire internet, enterprise search engines focus on the internal data of an organization, which can include documents, emails, databases, intranet sites, and other digital assets or data sources. Modern enterprise search engines often incorporate Natural Language Processing (NLP) and Machine Learning (ML) and AI-powered technologies to enhance their capabilities and improve the search experience. This type of search engine is adept at handling both structured and unstructured data, making it invaluable for diverse use cases such as knowledge management, customer support, and business intelligence. By integrating these enterprise search software capabilities, organizations can ensure that employees have quick and relevant access to the information they need, thereby improving productivity and decision-making.

Enterprise Search Engine

Generative AI (GenAI) apps use generative AI capabilities for user experience and task augmentation to accelerate and assist the completion of a user’s desired outcomes. Generative AI refers to technologies that can generate new derived versions of content, strategies, designs and methods by learning from large repositories of original source content. When embedded in the experience, generative AI offers richer contextualization for singular tasks such as generating and editing text, code, images and other multimodal output. As an emerging capability, process-aware generative AI agents can be prompted by users to accelerate workflows that tie multiple tasks together. Apart from helping save time and money, generative AI apps help improve branding of businesses by creating more engaging and effective content while also creating more engaging and immersive experiences for customers. Please note that this market is based on Beta research and is continuously evolving. We will be making changes as and when there are new updates.

Generative AI Apps (Transitioning to AI Knowledge Management Apps/ General Productivity)

Generative AI Apps

Generative AI (GenAI) engineering refers to the field of engineering that focuses on the development, implementation and optimization of generative AI models. Generative AI refers to technologies that can generate new derived versions of content, strategies, designs and methods by learning from large repositories of original source content. By developing GenAI models, engineers can create new and innovative ways to generate content. The vendors in this segment are made up by incumbent and startup vendors covering full-model life cycle management, specifically adjusted to and catering to development, refinement and deployment of generative models (e.g., LLMs) and other GenAI artifacts in production applications. Please note that this market is based on Beta research and is continuously evolving. We will be making changes as and when there are new updates.

Generative AI Engineering

Elasticsearch Elastic Search Reviews, Ratings & Features 2024 | Gartner Peer Insights

Evaluation and contract negotiation

Evaluation & Contracting

Ability to understand your organization's needs

Timely and complete response to product questions

Pricing and contract flexibility (pricing and terms)

Integration and deployment

Integration & Deployment

Availability of quality 3rd-party resources (integrators, service providers, etc.)

Ease of integration using standard APIs and tools

Quality and availability of end-user training

Ease of deployment

Service and support

Service & Support

Timeliness of vendor's response

Quality of technical support

Quality of peer user community

Product capabilities

Product Capabilities

Analyze Result Sets

Ingest Content and Data

Deploy with Flexibility

Extract and Enrich Data

Deliver Results to Various Touchpoints

Evaluate and Tune Relevance

Personalize Experiences

Additional Context

Elastic Search

Elasticsearch

Google Cloud Search

Google

SharePoint

Microsoft

Coveo Platform

Coveo

Azure AI Search

Glean

IBM Watson Discovery

Microsoft Search

Lucidworks Fusion

Lucidworks

Sinequa Platform

Sinequa

50M - 250M USD

<50M USD

250M - 500M USD

30B + USD

1B - 3B USD

3B - 10B USD

500M - 1B USD

10B - 30B USD

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

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

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

DEVOPS ENGINEER

Elastic search was very useful in gathering logs and we created dashboard for reporting and monitoring all details injected from different applications. 

DIRECTOR OF DATA AND ANALYTICS

Best for real-time analytics, log and event data analysis and scenarios requiring high scalability.

Other...

Amazon Web Services (AWS)

Apache Software Foundation

Search365

OpenText

Cludo

Algolia (Search.io)

Oracle

OpenText (Micro Focus)

SparkCognition

Algolia

expert.ai

Mindbreeze

Dassault Systèmes

EPAM

Attivio

Upland (BA Insight)

Hyland

IHS Markit

Funnelback

IntraFind

Squirro

Contify

Senior Staff Engineer

Helping for analyzing log files and bring more insights in our production

CHIEF TECHNICAL OFFICER

It's a powerful solution but very technical, you really have to have strong skills

Senior Account Manager

Elasticsearch is the best solution with great abilities that meets our business requirements because on daily basis I have to deal with a huge amount of data managing, saving and searching manually was quite a difficult task and also time-consuming that is the affecting the performance of our business and also burdening the employee of any company but it resolves all the issues at a single platform by providing all we searching for. With it we store a huge amount of data in a secure place, manage, analyze and search in just a few seconds.

SEO Manager

Elasticsearch provides a solid platform for multiple big data challenges in an organization. We use it for managing/monitoring log files on the backend and also as a frontend search utility for our intranet and customer-facing site.

INFRA TECH LEAD

Our overall experience with Elastic search has been truly exceptional. The platform's powerful search capabilities with its flexibility and robust support, have significantly enhanced our analysis and decision-making process. 

ENTERPRISE ARCHITECT

Elastic.co has been focused on our success since our initial engagement.

Security Architect

One of the leaders in this space.  The platform has matured significantly since I started using it several years ago.  The plugin architecture with beats fills significant gaps in the architecture with logging.

Director, Development and Technology

Elastic Cloud Search rocks! It's very powerful and lightening fast. It has no issue handling the large amount of transactional data we throw at it on a regular basis.

Active

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

50M-1B USD

1B-10B USD

10B+ USD

Gov't/PS/Ed

ENGINEERING MANAGER

It has been a nice experience so far, but we still have some areas where I feel things can be improved

DevOps Platform Engineer

Best in class solution, high technical expertise of staff, plethora of features

Senior Engineer

The AI/ML features Elasticsearch offers has greatly helped us implement semantic search and GenAI into a wide variety of use cases such as building a chatbot and analyzing JIRA tickets

INFRASTRUCTER ENGINNER

Elastic search goes beyond traditional keyword search to intelligent search

CRO MANAGER

Elastic Search helps us with easily accessing our customer and order database. Fast and reliable.

Architect

Extremely happy with Elastic search as a product vendor. Robust partnership for account success and exceptional technical support for new onboarding accelerated our app development

Technology Architect

Overall experience and support has been exceptional

IT SYSTEM ADMINISTRATOR

Overall, Elasticsearch is widely regarded as a powerful tool for indexing and searching large volumes of data efficiencly. It offers scalability, high performance, and flexibility, making it suitable for varioususe cases suc as log monitoring, realtime analytics, and full-tex search.
From the perspective of an IT System Administrator, working with Elasticsearch can be both rewarding and challenging. Here are some potential comments on the overall experience:
Positive aspects:
1. Elasticsearch provides robust features for date indexing and searching, empowering administrators to efficiently manage and query large databasets.
2. The flexibility to Elasticsearch allows for easy integration with existing systems and applications, facilitating seamsless data management workflows.
3.The active comminity support and extensive documentations resources make it easier for the administrators to troubleshoot issues and optimize their Elasticsearch deployments.

Challanges:

1.Managing and maintaining Elasticsearch clusters require expertise in areas suc as cluster configuration, performance tunning and tata security.
2. Scaling Elasticsearch cluster to handle increasing data volumes and user loads can be complex and may require careful planning and resource allocation.
3. Ensuring data reliability availability and security in Elasticsearch deplyments in crucial and may involve implementing proper backup and disaster recovery strategies.

In summary while Elasticsearch offer powerfull capabilities for managing and querying data its effective utilization requires careful planning ongoing maintenance and continous learning. With the right expertise and resources  IT System Administrators can leverage Elasticseach to enhance data management and analysis capabilities with their organiza

Software Developer

It's a great tool for tracking but there some of its features are a little rough to use

SENIOR ENGINEER

Nice Product, Unprecedented Speed, Filtering, Complimentary Tooling and many more.

AUDIT MANAGER

We use Elastic Search as part of the ELK stack with Kibana for dashboarding. The set up we have is a minimal one used for continuous audit through audit hooks dumping logs to logstash and metrics are made searchable through elastic search. So far the product has been working great and it the set up was easy enough provided that the underlying prerequisites are met especially log ingestion. However, do be aware that it can hog precious computing resources especially when indexing large amount of logs/metrics.

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.

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.