# Best Enterprise Search Software - Page 8

*By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)*


Enterprise search software crawls and indexes structured and unstructured data from diverse sources, enriches it with metadata and security controls, and applies ranking algorithms to deliver precise, permission-aware results through a unified search interface. These solutions clean and structure data, enabling users to securely enter and find data across various data sources using metadata and relevance scoring, including databases, documents, applications, websites, and intranets.

Users across multiple roles and teams can benefit from using enterprise search software since the retrieval of data from a mix of databases and shared sources is key to accomplishing many tasks within a business setting. Enterprise search software consolidates documents, databases, and application content into a unified search index and relevance framework, giving employees secure and rapid access to information while improving productivity, ensuring compliance, and reducing operational costs.

Enterprise search software “Google-izes&quot; data: It circumvents the time and effort that goes into tagging, filing, sharing, and retrieving information regardless of size and media type, creating a secure, powerful, and easy-to-use search function. Enterprise search software used within a business context usually integrates with [business intelligence](https://www.g2.com/categories/business-intelligence) and data management solutions, which are used to clean and structure data, making information easier to locate. Within an e-commerce setting, they are integrated with [product information management software](https://www.g2.com/categories/product-information-management-pim). While integration is not required, enterprise search software can pull information from various sources such as [customer relationship management (CRM) software](https://www.g2.com/categories/crm), [enterprise resource planning (ERP) software](https://www.g2.com/categories/erp), [HR management suites](https://www.g2.com/categories/hr-management-suites), [supply chain suites](https://www.g2.com/categories/supply-chain-suites), and more.

To qualify for inclusion in the Enterprise Search category, a product must:

- Collect and update information from different data sources, types, and formats
- Index or archive data
- Provide intelligent search options (autocomplete, find similar, rank by relevance, etc.)
- Create an interface to search and retrieve data
- Allow users to refine their search using advanced filters
- Provide privacy features by applying granular permissions and access controls, ensuring users only access information they are authorized to see while safeguarding sensitive content
- Provide search analytics features that track queries and user behavior, revealing gaps where information is missing and enabling teams to continuously refine and optimize content for greater relevance and business value





## Top Enterprise Search Software at a Glance
| # | Product | Rating | Best For | What Users Say |
|---|---------|--------|----------|----------------|
| 1 | [Slack](https://www.g2.com/products/slack/reviews) | 4.5/5.0 (37,425 reviews) | Conversational knowledge retrieval across integrated workspaces | "[Slack as a Searchable Team Memory with Powerful Workflow and ChatOps Integrations](https://www.g2.com/survey_responses/slack-review-13068265)" |
| 2 | [Notion](https://www.g2.com/products/notion/reviews) | 4.6/5.0 (11,051 reviews) | Cross-app knowledge retrieval with AI-grounded search | "[The Tool That Finally Made Me Look Organized](https://www.g2.com/survey_responses/notion-review-13061798)" |
| 3 | [Guru](https://www.g2.com/products/guru/reviews) | 4.7/5.0 (2,258 reviews) | Verified in-workflow knowledge retrieval across teams | "[A fast and user-friendly knowledge platform with room to grow](https://www.g2.com/survey_responses/guru-review-11254414)" |
| 4 | [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch/reviews) | 4.5/5.0 (288 reviews) | ELK-native search across high-volume operational datasets | "[Simple UI, Seamless Integrations, and Strong Elasticsearch Performance](https://www.g2.com/survey_responses/elasticsearch-review-12835645)" |
| 5 | [Google Cloud Dialogflow](https://www.g2.com/products/google-cloud-dialogflow/reviews) | 4.4/5.0 (129 reviews) | Intent-based FAQ search with Google-native NLP | "[Performs to Spec with a Scalable State Machine Model](https://www.g2.com/survey_responses/google-cloud-dialogflow-review-12738205)" |
| 6 | [AlphaSense](https://www.g2.com/products/alphasense/reviews) | 4.6/5.0 (324 reviews) | Cross-document financial intelligence with synonym-aware search | "[Streamlined Research with Intuitive Interface](https://www.g2.com/survey_responses/alphasense-review-13055623)" |
| 7 | [Glean](https://www.g2.com/products/glean-technologies-glean/reviews) | 4.7/5.0 (161 reviews) | Cross-app enterprise knowledge search and retrieval | "[Glean Integrations That Boost Onboarding Support](https://www.g2.com/survey_responses/glean-review-12890788)" |
| 8 | [Microsoft Bing Web Search API](https://www.g2.com/products/microsoft-bing-web-search-api/reviews) | 4.2/5.0 (303 reviews) | Microsoft-ecosystem app search with structured JSON retrieval | "[Assistant ICT Lecturer](https://www.g2.com/survey_responses/microsoft-bing-web-search-api-review-11432058)" |
| 9 | [Azure AI Search](https://www.g2.com/products/azure-ai-search/reviews) | 4.4/5.0 (33 reviews) | RAG-pipeline search within Azure-native applications | "[Powerful, Scalable Enterprise Search with Built-In AI Enrichment](https://www.g2.com/survey_responses/azure-ai-search-review-12873426)" |
| 10 | [SearchUnify](https://www.g2.com/products/searchunify/reviews) | 4.5/5.0 (104 reviews) | Federated search with Salesforce-native case deflection | "[Transformative Unified Search with Seamless Implementation and a True Partner Team](https://www.g2.com/survey_responses/searchunify-review-12323659)" |

---
## What Are the Most Common Questions About Enterprise Search Software?
*AI-generated · Last updated: May 26, 2026*
### What top platforms for combining enterprise search with analytics?
Based on G2 reviews, buyers looking for enterprise search software that also supports analytics tend to value products that combine fast retrieval with reporting, monitoring, or insight features in one workflow. Reviewers mention [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch) for combining search with dashboards, log analysis, and operational visibility. According to verified users, [SearchUnify Cognitive Search](https://www.g2.com/products/searchunify-cognitive-search) stands out for content gap analysis, session tracking, and search reporting that help teams improve self-service. G2 reviewers mention [Notion](https://www.g2.com/products/notion) as useful for searchable internal knowledge paired with AI-assisted answers and team documentation workflows. These patterns suggest that strong analytics matter most when teams need both discovery and ongoing optimization.

**Here are some of the top-rated products on G2:**

- [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch) – used for search, log analysis, dashboards, and monitoring across large data volumes
- [SearchUnify Cognitive Search](https://www.g2.com/products/searchunify-cognitive-search) – suited for unified search with analytics on content gaps, case deflection, and user behavior
- [Notion](https://www.g2.com/products/notion) – works well for searchable internal knowledge with AI-assisted answers and documentation workflows


### What best software for multi-source enterprise search?
Based on G2 reviews, the strongest signals for multi-source enterprise search software point to products that connect many repositories and reduce switching between tools. G2 reviewers mention [Notion](https://www.g2.com/products/notion) for searching across internal docs and connected sources, while keeping a central knowledge base. According to verified users, [Glean](https://www.g2.com/products/glean-technologies-glean) is praised for pulling information from systems like Slack, Drive, Jira, and email into one search experience. Reviewers also highlight [SearchUnify Cognitive Search](https://www.g2.com/products/searchunify-cognitive-search) for federating content across repositories and improving discoverability. Buyers focused on scattered information and fragmented workflows should prioritize connector depth, relevance, and clear source visibility.

**Here are some of the top-rated products on G2:**

- [Notion](https://www.g2.com/products/notion) – useful for centralizing docs and searching across connected workplace knowledge sources
- [Glean](https://www.g2.com/products/glean-technologies-glean) – fits teams that need one search layer across Slack, Drive, Jira, email, and other work apps
- [SearchUnify Cognitive Search](https://www.g2.com/products/searchunify-cognitive-search) – designed for federated search across multiple repositories, sites, and knowledge systems


### What best enterprise search tools for integrating with intranet portals?
Based on G2 reviews, enterprise search software for intranet portal integration is valued when it improves access to internal content without forcing users to jump across systems. According to verified users, [Moveworks](https://www.g2.com/products/moveworks) is frequently mentioned for integrating with employee portals, Teams, and internal knowledge sources to surface answers where employees already work. G2 reviewers also describe [SearchUnify Cognitive Search](https://www.g2.com/products/searchunify-cognitive-search) as effective for embedding federated search into communities and support experiences. [Yext](https://www.g2.com/products/yext) is noted for searchable content experiences and website search use cases. These reviews suggest portal fit depends on connector coverage, user experience, and how well the product preserves context inside the intranet environment.

**Here are some of the top-rated products on G2:**

- [Moveworks](https://www.g2.com/products/moveworks) – helps surface internal answers through employee portals, chat, and workplace tools
- [SearchUnify Cognitive Search](https://www.g2.com/products/searchunify-cognitive-search) – supports embedded federated search for communities and support portals
- [Yext](https://www.g2.com/products/yext) – suitable for searchable portal and website content with managed search experiences


### What top-rated enterprise search platforms for compliance-heavy industries?
Based on G2 reviews, compliance-heavy teams tend to favor enterprise search software that combines strong governance, controlled access, and reliable retrieval. G2 reviewers mention [iManage Work](https://www.g2.com/products/imanage-work) for secure document management, searchability, and governance in document-intensive environments. According to verified users, [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch) is used for compliance-oriented logging, monitoring, and audit visibility across large data sets. Reviewers also highlight [SearchUnify Cognitive Search](https://www.g2.com/products/searchunify-cognitive-search) for helping regulated organizations unify content and improve self-service while maintaining controlled search experiences. Buyers in compliance-focused environments often care less about broad consumer-style search and more about traceability, permissions, and consistent access to current information.

**Here are some of the top-rated products on G2:**

- [iManage Work](https://www.g2.com/products/imanage-work) – strong fit for secure document governance, search, and controlled access to sensitive content
- [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch) – commonly used for compliance-oriented log search, monitoring, and audit visibility
- [SearchUnify Cognitive Search](https://www.g2.com/products/searchunify-cognitive-search) – helps regulated teams unify knowledge sources and improve governed self-service search


### Which platform offers the most intuitive search interface?
Based on G2 reviews, [Notion](https://www.g2.com/products/notion) stands out here because recent reviewers repeatedly describe it as easy to use, intuitive, and straightforward for finding information across internal docs and connected sources. According to verified users, the interface makes it simple to centralize knowledge, search quickly, and support onboarding or self-service without much setup friction. G2 reviewers also mention some navigation and structure challenges as workspaces grow, but the overall pattern still points to ease of use as a core strength. For buyers comparing enterprise search software, this suggests Notion is especially appealing when usability and fast adoption matter as much as search capability itself.


### What top tools for indexing and retrieving enterprise data?
Based on G2 reviews, buyers evaluating enterprise search software for indexing and retrieval often focus on speed, scalability, and the ability to handle varied content sources. G2 reviewers mention [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch) for indexing large data volumes, log search, and fast retrieval across operational and content use cases. According to verified users, [Amazon OpenSearch Service](https://www.g2.com/products/amazon-opensearch-service) is useful for centralized log management and analytics in cloud environments. Reviewers also call out [Azure AI Search](https://www.g2.com/products/azure-ai-search) for retrieving relevant outputs from large data sets and supporting search-driven chatbot or retrieval workflows. These products are most often praised when teams need dependable indexing plus quick access to enterprise information.

**Here are some of the top-rated products on G2:**

- [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch) – well suited for indexing and retrieving logs, documents, and large-scale enterprise data
- [Amazon OpenSearch Service](https://www.g2.com/products/amazon-opensearch-service) – useful for centralized indexing and search across cloud-based logs and operational data
- [Azure AI Search](https://www.g2.com/products/azure-ai-search) – supports retrieving relevant answers from large data sets in search and chatbot workflows


### Which enterprise search software is best for mobile access?
Based on G2 reviews, [Perplexity](https://www.g2.com/products/perplexity) is the strongest fit for this question because reviewers specifically call out the mobile experience, including screenshot-based research, voice interactions, and on-the-go searching. According to verified users, the app is easy to use and helpful for real-time research without being tied to a desktop workflow. G2 reviewers mention some mobile drawbacks, such as occasional disconnections or limitations during longer sessions, but the recurring feedback still points to mobile usability as a clear advantage. For teams prioritizing enterprise search software with accessible mobile research and fast answers, Perplexity shows the most direct recent review evidence.


### Which is the best enterprise search software for large organizations?
Based on G2 reviews, [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch) is the strongest match for large organizations because reviewers consistently describe it as fast, scalable, and effective for handling high-volume data, log analysis, and enterprise-scale search workloads. According to verified users, it supports large customer environments, centralized search across complex datasets, and near real-time access to operational information. G2 reviewers also note that complexity and infrastructure planning increase as deployments grow, which is important for buyers to weigh. Even so, the overall review pattern suggests Elasticsearch is the clearest fit when large organizations need enterprise search software built for scale, performance, and broad data retrieval use cases.


### What best platforms for secure enterprise search?
Based on G2 reviews, secure enterprise search software is most often associated with products that emphasize permissions, governance, and protected access to internal data. G2 reviewers mention [iManage Work](https://www.g2.com/products/imanage-work) for secure document storage, controlled access, and strong governance for sensitive content. According to verified users, [Leverage Work AI Search &amp; Insights](https://www.g2.com/products/leverage-work-ai-search-insights) stands out for privacy, internal hosting control, and centralized search across protected systems. Reviewers also highlight [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch) in environments where security, compliance visibility, and controlled search over operational data matter. These reviews suggest secure search buying criteria usually center on data control, permissions, and governance rather than convenience alone.

**Here are some of the top-rated products on G2:**

- [iManage Work](https://www.g2.com/products/imanage-work) – ideal for secure document search, governance, and controlled access in sensitive environments
- [Leverage Work AI Search &amp; Insights](https://www.g2.com/products/leverage-work-ai-search-insights) – fits teams needing private, internally controlled search across protected enterprise data
- [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch) – supports secure search and monitoring use cases where governance and visibility are important


### Which enterprise search tool offers AI-powered relevance ranking?
Based on G2 reviews, [Constructor](https://www.g2.com/products/constructor-io-constructor) is the clearest answer because reviewers directly describe flexible relevance and ranking controls, continuous optimization, and stronger product discovery through search and recommendations. According to verified users, the platform supports relevance improvements that can be tuned and tested over time, especially in ecommerce and discovery-heavy experiences. G2 reviewers mention that it can take effort to understand ranking behavior and business-specific tuning, but the recurring feedback still points to AI-driven relevance as a major strength. For buyers focused on enterprise search software with relevance ranking at the core, Constructor has the most explicit review grounding in this dataset.




## How Many Enterprise Search Software Products Does G2 Track?
**Total Products under this Category:** 207

### Category Stats (Jul 2026)
- **Average Rating**: 4.43/5 (↑0.01 vs Jun 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product**: raffle AI (+1.18%) - Among all products in this category, raffle AI recorded the largest rating increase compared to last month
*Last updated: July 07, 2026*


## How Does G2 Rank Enterprise Search Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 75,400+ Authentic Reviews
- 207+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.


## Which Enterprise Search Software Is Best for Your Use Case?

- **Leader:** [Slack](https://www.g2.com/products/slack/reviews)
- **Highest Performer:** [CADDi Drawer](https://www.g2.com/products/caddi-drawer/reviews)
- **Easiest to Use:** [Slack](https://www.g2.com/products/slack/reviews)
- **Top Trending:** [Glean](https://www.g2.com/products/glean-technologies-glean/reviews)
- **Best Free Software:** [Notion](https://www.g2.com/products/notion/reviews)


---

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---

## What Are the Top-Rated Enterprise Search Software Products in 2026?
### 1. [N2 Search](https://www.g2.com/products/n2-search/reviews)
N2 Search is an enterprise search solution designed to help organizations efficiently locate and manage their growing volumes of documents and data. By leveraging the power of Elasticsearch, N2 Search offers a scalable and stable platform capable of handling extensive datasets, including over 100 million documents. Its versatility allows it to operate across various operating systems that support Java, ensuring broad compatibility. Key Features and Functionality: - Comprehensive Data Crawling: N2 Search can index documents from multiple sources such as websites , Windows shared folders, NFS file systems, and databases. It supports a wide range of file formats, including HTML, text, MS Office documents, PDFs, and zip files. - Advanced Search Capabilities: Users can apply various search conditions, handling both string and integer data types. This flexibility allows for tailored search results based on specific usage scenarios. - E-commerce Integration: N2 Search enhances e-commerce platforms by enabling search results to be sorted by popularity, new arrivals, prices, and more. Its Ajax functionality allows seamless integration without altering existing site logic. Optional features include category-based results and recommendations. - Geolocation-Based Search: The system can present search results based on geographic information , facilitating location-aware searches pertinent to shop or area data. - Mobile Responsiveness: Utilizing responsive web design, N2 Search ensures optimal display and functionality on smartphones and other mobile devices. - Access Control Integration: Search results can be filtered according to user authentication information, such as Active Directory credentials. This ensures that users access only the documents pertinent to their department or role. - Cost Efficiency: By incorporating open-source software, N2 Search provides a robust search solution at a reduced cost. Primary Value and Problem Solved: N2 Search addresses the critical challenge of efficiently managing and retrieving vast amounts of organizational data. By offering a scalable, stable, and versatile search solution, it empowers users to quickly find relevant documents and information, thereby enhancing productivity and decision-making processes. Its integration capabilities with various data sources and platforms make it a valuable tool for businesses seeking to streamline their information retrieval systems.



**Who Is the Company Behind N2 Search?**

- **Seller:** [N2SM](https://www.g2.com/sellers/n2sm)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 2. [Needle](https://www.g2.com/products/needle-technologies-needle/reviews)
Your work apps united. Needle brings together all your tools in one smart chat, helping you find info, share data, and get things done faster. No more app-hopping, just seamless work across everything you use.



**Who Is the Company Behind Needle?**

- **Seller:** [Needle Technologies](https://www.g2.com/sellers/needle-technologies)
- **Year Founded:** 2024
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/needleapp (5 employees on LinkedIn®)






### 3. [Neuron](https://www.g2.com/products/brains-technology-inc-neuron/reviews)
Neuron is a search engine for in-house information that supports not only document search but also image search.



**Who Is the Company Behind Neuron?**

- **Seller:** [Brains Technology](https://www.g2.com/sellers/brains-technology)
- **HQ Location:** Minato-ku, Japan
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 4. [Onyx AI](https://www.g2.com/products/onyx-ai/reviews)
Onyx is an open-source generative AI and enterprise search platform that helps organizations provide their teams with a unified, natural-language interface to large language models while connecting those models to the company&#39;s internal knowledge, documents, and applications. Formerly known as Danswer, Onyx serves as a centralized AI workspace where users can chat with LLMs, search across organizational data, build custom AI agents, and automate workflows, all within a secure and permission-aware environment. Onyx falls into the category of enterprise AI platforms, sitting at the intersection of AI-powered chat, knowledge management, and enterprise search. It is designed for a broad audience, from individual developers running it on a laptop to large organizations deploying it on-premise or in the cloud. Common users include engineering teams seeking fast access to internal documentation, sales teams researching customer histories and pipeline data, support teams resolving tickets with accurate knowledge, and operations teams streamlining company-wide information access. The platform connects to over 40 enterprise data sources, including Google Drive, Slack, Confluence, Salesforce, GitHub, Jira, and many others, syncing content in real time and automatically respecting document-level access controls from the source applications. Users interact with this knowledge through a conversational chat interface or a dedicated search experience, and every response is grounded in retrieved documents with inline citations so answers can be verified. Key features and value propositions include: Model-agnostic AI chat. Onyx works with any LLM, including OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, DeepSeek, and self-hosted models via Ollama or vLLM, giving organizations full flexibility over their AI provider. Advanced retrieval and accuracy. The platform combines hybrid search (semantic plus keyword), advanced retrieval-augmented generation (RAG), contextual retrieval, and LLM-based knowledge graphs to minimize hallucinations and surface highly relevant results. Custom AI agents and actions. Administrators and users can create tailored AI agents with specific instructions, scoped knowledge sets, and the ability to take actions in external systems via MCP or OpenAPI integrations. Security-first, self-hostable architecture. Onyx can be deployed fully air-gapped with no data sent to third parties. It supports SSO (OIDC, SAML, OAuth2), role-based access control, and encryption of credentials, making it suitable for highly regulated industries. Advanced productivity tools. Built-in capabilities such as deep research, code interpreter, web search, image generation, file uploads, and persistent memory allow teams to handle complex analytical and creative tasks directly within the platform. Onyx is available as a free, MIT-licensed Community Edition for self-hosting, as well as a managed Onyx Cloud offering and an Enterprise Edition with additional features like usage analytics, enhanced permissioning, and dedicated support. It is trusted by organizations such as Netflix, Ramp, Thales Group, Bitwarden, Roku, and Applied Intuition.



**Who Is the Company Behind Onyx AI?**

- **Seller:** [Onyx AI](https://www.g2.com/sellers/onyx-ai)
- **Year Founded:** 2023
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** https://www.linkedin.com/company/onyx-dot-app/ (31 employees on LinkedIn®)






### 5. [OpenText Service Management Aviator](https://www.g2.com/products/opentext-service-management-aviator/reviews)
OpenText™ Service Management Aviator is a secure, private generative AI virtual agent designed to enhance IT service management (ITSM) by leveraging domain-specific enterprise knowledge. It empowers users to self-resolve common requests through natural language interactions, provides service agents with summarized incoming tickets and suggested solutions, and assists IT staff by retrieving pertinent information and recommending remediation steps, thereby reducing mean time to repair. Key Features and Functionality: - Conversational AI for ITSM: Offers a chatbot that assists service desk agents, improving accessibility and issue resolution. - AIOps for IT Operations: Provides AI-powered troubleshooting and root cause analysis, enhancing operational efficiency. - Deployment Flexibility: Available for both on-cloud and off-cloud customers, ensuring adaptability to various IT environments. - Data Privacy: Utilizes a private large language model (LLM) hosted and operated by OpenText, ensuring data privacy and security. Primary Value and User Solutions: Service Management Aviator streamlines IT support processes by enabling users to resolve issues independently, reducing the burden on support agents. It accelerates ticket handling and troubleshooting, leading to faster issue resolution and improved user satisfaction. By integrating generative AI into ITSM, it enhances service quality, reduces operational costs, and ensures data privacy, addressing common challenges in IT service management.



**Who Is the Company Behind OpenText Service Management Aviator?**

- **Seller:** [OpenText](https://www.g2.com/sellers/opentext)
- **Year Founded:** 1991
- **HQ Location:** Waterloo, ON
- **Twitter:** @OpenText (21,565 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2709/ (23,048 employees on LinkedIn®)
- **Ownership:** NASDAQ:OTEX






### 6. [Passage L200](https://www.g2.com/products/passage-l200/reviews)
The Passage™ L200 is a cutting-edge 3D co-packaged optics (CPO) solution designed to meet the escalating demands of next-generation XPUs and switches. By integrating an advanced-node electronic integrated circuit (EIC) from Alphawave Semi with Lightmatter&#39;s photonic integrated circuit (PIC) through a standard chip-on-wafer (CoW) process, the L200 delivers exceptional performance and scalability.



**Who Is the Company Behind Passage L200?**

- **Seller:** [Lightmatter](https://www.g2.com/sellers/lightmatter)
- **Year Founded:** 2017
- **HQ Location:** Mountain View, California, United States
- **LinkedIn® Page:** https://www.linkedin.com/company/lightmatter (279 employees on LinkedIn®)






### 7. [Passage Technology](https://www.g2.com/products/lightmatter-passage-technology/reviews)
Passage™ by Lightmatter is a cutting-edge 3D Silicon Photonics Engine designed to revolutionize AI and high-performance computing infrastructures. It offers unparalleled interconnectivity, enabling seamless communication between thousands to millions of processors at the speed of light. By addressing critical data bottlenecks, Passage™ enhances efficiency and scalability, pushing the boundaries of AI capabilities.



**Who Is the Company Behind Passage Technology?**

- **Seller:** [Lightmatter](https://www.g2.com/sellers/lightmatter)
- **Year Founded:** 2017
- **HQ Location:** Mountain View, California, United States
- **LinkedIn® Page:** https://www.linkedin.com/company/lightmatter (279 employees on LinkedIn®)






### 8. [Quaeris](https://www.g2.com/products/quaeris/reviews)
QuaerisAI is an enterprise-grade Agentic Analytics platform where authenticated users ask business questions in plain English and AI agents surface trusted, governed answers — with full data lineage, explainability, and zero data leakage. The Problem QuaerisAI Solves Enterprise teams are drowning in data but starving for answers. Despite heavy investment in Power BI, Tableau, and Looker, BI adoption remains critically low outside the analytics team. Business users avoid dashboards because they require SQL knowledge, analyst support, and hours of navigation — none of which frontline decision-makers have time for. Meanwhile, open AI tools like ChatGPT create unacceptable risk for regulated industries. Data leakage, hallucination, and zero audit trails make them impossible to deploy in finance, insurance, legal, and healthcare environments. The result is a governance gap: the pressure to adopt AI-powered analytics is growing, but the tools available are either too complex for business users or too risky for enterprise IT. QuaerisAI was built to close that gap. What QuaerisAI Does QuaerisAI is a Secure, Governed Analytics platform powered by Trusted AI Agents. It lets any authenticated business user — regardless of technical skill — ask questions in plain English and receive accurate, explainable, audit-ready answers in seconds. Unlike traditional BI tools that require dashboards, training, and analyst queues, QuaerisAI operates as a natural language interface across your entire enterprise data estate — structured databases, cloud warehouses, CRM platforms, and unstructured document repositories — in one unified query layer. Unlike open AI tools, QuaerisAI is fully containerized, Kubernetes-native, and deployed within your enterprise security perimeter. No data is sent to third-party AI models without governance controls. Every answer carries a full audit trail. Think of it as secure GPT — not the open and intrusive ChatGPT. The Platform — Three Engines The Context Engine understands your business. It translates plain English questions into precise, governed SQL through natural language query (NLQ), connects to your existing data stack without ripping and replacing, and automatically learns your business definitions and data relationships as you interact — no months of semantic modeling required. The Answer Engine surfaces trusted answers. It searches across structured and unstructured data simultaneously, enables real-time sharing of insights across teams, and accelerates time-to-insight from days to seconds. Every answer includes a direct result, a chart or table where relevant, an explanation summary, mapped columns, source references, and a &#39;Why this answer&#39; explainability layer that no competitor matches natively. The Decision Engine turns insight into action. Users pin key findings to governed pinboards, embed analytics directly into SaaS products via API, and share governed data stories with stakeholders — creating a compounding institutional knowledge layer rather than ephemeral data conversations. AI Agents That Work For You Contract and Document Intelligence agents automatically extract structured data from hundreds of contracts, SOWs, NDAs, and MSAs — replacing $50K+ CLM platforms at a fraction of the cost. Results are validated, queryable, and audit-ready. Sales Performance Monitoring agents continuously watch CRM data and surface proactive alerts when a deal slips, a rep goes cold, or forecast diverges from target — without anyone running a report. Sales leaders stop discovering problems a week too late. Financial Reporting and FP&amp;A agents run monthly data extraction workflows across multiple business units, route outputs for human validation, and auto-refresh dashboards — turning fragmented financials into a governed, queryable dataset with a full audit trail. Retail Audit and Compliance agents detect non-compliance against uploaded policy documents, flag anomalies in transaction data, and surface traceable audit evidence — compressing audit cycles from days to seconds. Key Differentiators Natural language to SQL with no training required — any user types a question and receives a governed answer instantly. Follow-up questioning — a capability no competitor supports end-to-end. Users drill deeper conversationally without losing context. Unified structured and unstructured search — one query layer spans SQL, Snowflake, Redshift, BigQuery, Salesforce, PDFs, and contracts simultaneously. Bring Your Own Model (BYOM) — connect OpenAI, Anthropic, Google, or Meta and switch as the AI landscape evolves. Enterprise-grade security by design — containerized Kubernetes deployment, RBAC, audit-ready query logs, and on-premises options. Proactive AI agents — monitor data continuously and surface anomalies and risks before they become crises. Why QuaerisAI Wins vs Power BI / Tableau: no SQL, no training, no analyst dependency — plus proactive agents that surface insights without waiting for a query. vs CLM tools (Ironclad, Icertis): replaces $50K+ point solutions at a fraction of the cost, unified with all enterprise data. vs ChatGPT / Gemini: fully containerized, governed, audit-ready, and connected to internal data — without hallucination risk or compliance exposure. vs Custom SaaS builds: live in days via API, GPT-like UX, Kubernetes-native scale without fixed per-seat pricing.



**Who Is the Company Behind Quaeris?**

- **Seller:** [Quaeris](https://www.g2.com/sellers/quaeris)
- **Year Founded:** 2020
- **HQ Location:** Charlotte, US
- **LinkedIn® Page:** https://www.linkedin.com/company/quaeris-ai (26 employees on LinkedIn®)






### 9. [QuantCopy](https://www.g2.com/products/quantcopy/reviews)
QuantCopy, now rebranded as Tactic, is an advanced research automation platform designed to streamline data collection and analysis for teams. It enables users to perform thousands of searches simultaneously, delivering concise reports from both internal and external data sources. This efficiency reduces the time spent on manual information gathering, allowing teams to make informed decisions swiftly. Key Features and Functionality: - Bulk Search Capability: Execute numerous searches at once, covering a wide range of data sources. - Summarized Reporting: Receive digestible summaries from search results, facilitating quick comprehension. - Integration with Chrome: Access the platform directly through a Chrome extension, enabling research activities without leaving the current webpage. - Collaborative Tools: Add new research topics, view existing projects, and update research sheets and notes within a unified interface. Primary Value and User Solutions: Tactic addresses the challenge of efficiently extracting and analyzing data from unstructured text, web pages, and documents. By automating the research process, it eliminates the need for manual data collection and ad-hoc planning, thereby enhancing productivity. This solution is particularly beneficial for sales and marketing teams, providing them with accurate and timely information to devise effective business strategies.



**Who Is the Company Behind QuantCopy?**

- **Seller:** [QuantCopy](https://www.g2.com/sellers/quantcopy)
- **Year Founded:** 2020
- **HQ Location:** London, GB
- **LinkedIn® Page:** https://www.linkedin.com/company/tactic-fyi (8 employees on LinkedIn®)






### 10. [Quantxt Theia](https://www.g2.com/products/quantxt-theia/reviews)
Quantxt is a software platform for processing, search, and discovery in unstructured content using NLP techniques.



**Who Is the Company Behind Quantxt Theia?**

- **Seller:** [Quantxt](https://www.g2.com/sellers/quantxt)
- **Year Founded:** 2013
- **HQ Location:** New York, US
- **LinkedIn® Page:** http://www.linkedin.com/company/quantxt-inc- (3 employees on LinkedIn®)






### 11. [RightFind Navigate](https://www.g2.com/products/rightfind-navigate/reviews)
RightFind Navigate: Personalized search across multiple sources of data and information for highly relevant discovery R&amp;D-intensive companies must accelerate research and drive innovation to compete effectively, but when content is locked away in silos it hinders discoverability and slows research. To maximize the value of digital information, organizations must eliminate silos to make content more discoverable and accessible. RightFind Navigate breaks down inefficiencies caused by information silos to reveal connections and insights that drive innovation. RightFind Navigate securely unifies licensed content, publicly available data sources, and internal proprietary information through an open ecosystem to maximize return on content and data investments.



**Who Is the Company Behind RightFind Navigate?**

- **Seller:** [Copyright Clearance Center](https://www.g2.com/sellers/copyright-clearance-center)
- **Year Founded:** 1978
- **HQ Location:** Danvers, Massachusetts, United States
- **Twitter:** @copyrightclear (8,073 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/copyrightclearancecenter/ (915 employees on LinkedIn®)






### 12. [Rocket NXT](https://www.g2.com/products/rocket-nxt/reviews)
Rocket NXT is an application based platform, provides robust search, content management, and publishing from the desktop or delivered via CD/DVD/USB.



**Who Is the Company Behind Rocket NXT?**

- **Seller:** [Rocket Software](https://www.g2.com/sellers/rocket-software)
- **Year Founded:** 1990
- **HQ Location:** Waltham, MA
- **Twitter:** @Rocket (3,532 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/10127/ (4,347 employees on LinkedIn®)






### 13. [Saasuma](https://www.g2.com/products/saasuma/reviews)
If there is one thing that takes productivity out of your Team, It’s the multiple hours spent on searching your digital files and assets! Saasuma takes the pain out of search and makes life super productive. Search, sync and share all your cloud storage and communications in one place. Files, email conversations or chats - it handles every sort from every source you are synced with. Additionally, Saasuma is integrated with the most popular cloud storage, email, chat and project management tools so that you miss none of your favourite tools and yet have all the work files in one single place! What’s more? Saasuma Stack lets you optimize your software stack and save money on software subscriptions. You get an overview of all your spending and employee usage of each software subscribed to. If that isn’t enough, you get great discounts on pricing plans from our listed partner softwares. Saasuma – a super productive tool for individuals and Teams alike!



**Who Is the Company Behind Saasuma?**

- **Seller:** [Saasuma](https://www.g2.com/sellers/saasuma)
- **Year Founded:** 2015
- **HQ Location:** Lisbon, Portugal
- **LinkedIn® Page:** https://www.linkedin.com/company/saasumaco (1 employees on LinkedIn®)






### 14. [Sana Agents](https://www.g2.com/products/sana-agents/reviews)
Sana AI is a knowledge assistant that helps you work faster and smarter. You can use it for everything from analyzing documents and drafting reports to finding information and automating repetitive tasks. Integrated with your apps, capable of understanding meetings and completing actions in other tools, Sana AI won&#39;t just change the way you access knowledge. It&#39;ll change the way you work.


**Average Rating:** 5.0/5.0
**Total Reviews:** 1
**How Do G2 Users Rate Sana Agents?**

- **Quality of Support:** 10.0/10 (Category avg: 8.9/10)

**Who Is the Company Behind Sana Agents?**

- **Seller:** [Sana Labs](https://www.g2.com/sellers/sana-labs)
- **Company Website:** https://www.sanalabs.com/
- **Year Founded:** 2016
- **HQ Location:** Stockholm, SE
- **Twitter:** @sanalabs (4,145 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/sana-labs/ (626 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Mid-Market


#### What Are Sana Agents's Pros and Cons?

**Pros:**

- Centralization (1 reviews)
- Efficiency (1 reviews)
- Navigation Ease (1 reviews)



### What Do G2 Reviewers Say About Sana Agents?
*AI-generated summary from verified user reviews*

**Pros:**

- Users enjoy the **centralization** of Sana Agents, allowing for easy navigation and independent use without assistance.
- Users appreciate the **efficiency** of Sana Agents, enabling seamless navigation and self-sufficient usage without assistance.
- Users find the **navigation ease** of Sana Agents excellent, allowing for independent and hassle-free usage.


#### What Are Recent G2 Reviews of Sana Agents?

**"[Great user experience highly recommended.](https://www.g2.com/survey_responses/sana-agents-review-11143009)"**

**Rating:** 5.0/5.0 stars
*— Abanaba J.*

[Read full review](https://www.g2.com/survey_responses/sana-agents-review-11143009)

---



### 15. [Searchdaimon](https://www.g2.com/products/searchdaimon/reviews)
Searchdaimon Enterprise Search is an open-source enterprise search engine designed to provide comprehensive full-text search capabilities across both structured and unstructured data. Initially developed as a commercial solution by the Norwegian company Searchdaimon AS, it transitioned to an open-source model in 2013. The platform is built using C and Perl and is available under the GPL v2 license. Key Features and Functionality: - Data Crawling: Searchdaimon ES can crawl various data sources, including HTTP, databases, Windows file shares, Exchange, SharePoint, and local files. - Document Handling: It supports extraction from numerous document formats such as Microsoft Word, Excel, RTF, PowerPoint, and Adobe Acrobat PDF. - Image Processing: The engine creates thumbnails for common image formats like PNG, JPEG, and TIF. - Security Integration: It offers full document-level security and integrates seamlessly with Active Directory, ensuring users access only the information they are authorized to view. - Administrative Interface: An HTML-based administration interface facilitates easy management and configuration. Primary Value and User Solutions: Searchdaimon ES addresses the challenge of efficiently retrieving relevant information from vast and diverse data repositories within an organization. By offering a unified search platform that integrates with existing enterprise systems and maintains strict security protocols, it enhances productivity and decision-making processes. Its open-source nature provides flexibility and cost-effectiveness, making it a viable solution for businesses seeking robust internal search capabilities.



**Who Is the Company Behind Searchdaimon?**

- **Seller:** [Searchdaimon](https://www.g2.com/sellers/searchdaimon)
- **HQ Location:** N/A
- **LinkedIn® Page:** http://www.linkedin.com/company/searchdaimon-as (1 employees on LinkedIn®)






### 16. [Searcholic](https://www.g2.com/products/searcholic/reviews)
Searcholic is a search engine that lets you discover millions of e-books and papers for free. It&#39;s a tool that can help researchers, students, and anyone interested in learning find valuable resources.



**Who Is the Company Behind Searcholic?**

- **Seller:** [Searcholic](https://www.g2.com/sellers/searcholic)
- **Year Founded:** 2010
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/searcholic/about/ (1 employees on LinkedIn®)






### 17. [SeekStorm](https://www.g2.com/products/seekstorm/reviews)
SeekStorm is a Search as a Service. Our search API offers web-scale, real-time, full text, instant search for your data and documents. SeekStorm is a Crawler as a Service. A high-performance, focused crawler turns any website into JSON docs with structured data SeekStorm is an open-source, sub-millisecond full-text search library &amp; multi-tenancy server implemented in Rust. https://github.com/SeekStorm/SeekStorm



**Who Is the Company Behind SeekStorm?**

- **Seller:** [SeekStorm](https://www.g2.com/sellers/seekstorm)
- **Year Founded:** 2020
- **HQ Location:** Warsaw, PL
- **LinkedIn® Page:** https://www.linkedin.com/company/seekstorm/ (2 employees on LinkedIn®)






### 18. [Sentelo](https://www.g2.com/products/sentelo/reviews)
Sentelo is an improved search engine designed for better reading and writing experiences, refining your internet browsing journey.



**Who Is the Company Behind Sentelo?**

- **Seller:** [Sentelo](https://www.g2.com/sellers/sentelo)
- **HQ Location:** Groningen, NL
- **LinkedIn® Page:** https://www.linkedin.com/company/sentelo/ (1 employees on LinkedIn®)






### 19. [SETI Finder](https://www.g2.com/products/seti-finder/reviews)
Vizier Finder is a database management software that in one interface allows users to find documents on the desktop and network and records in your databases in seconds. Vizier Finder middleware will ultimately allow developers to be more productive, saving time and resources.



**Who Is the Company Behind SETI Finder?**

- **Seller:** [Cylab](https://www.g2.com/sellers/cylab)
- **Year Founded:** 1994
- **HQ Location:** VIENNA, US
- **Twitter:** @CyLab (9,825 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/112996 (7 employees on LinkedIn®)






### 20. [Shieldbase](https://www.g2.com/products/shieldbase/reviews)
Shieldbase AI sits on top on your apps, LLMs, and co-pilots - and make it easy and safe to use LLMs on your company data to find anything within seconds.



**Who Is the Company Behind Shieldbase?**

- **Seller:** [Shieldbase](https://www.g2.com/sellers/shieldbase)
- **Year Founded:** 2024
- **HQ Location:** San Fransisco, US
- **LinkedIn® Page:** https://www.linkedin.com/company/shieldbase-ai (6 employees on LinkedIn®)






### 21. [Simply Asking](https://www.g2.com/products/simply-asking/reviews)
A brain for your business. Built like one. So your company finally remembers what it knows. Your company knows the answer. Your people can&#39;t find it or reach it where they work. Your AI is guessing instead of knowing. And nobody can see what&#39;s missing. Until now. Simply Asking is that brain. Your people find it wherever they work. Your AI knows it. You see what&#39;s missing. Simply ask Lumen. Three simple steps: Build it. Use it. Watch it grow. Build it. Upload docs. Sync your tools (Google Drive, Notion, Slack, HubSpot, Trello, Dropbox). Drop in a recording, a URL, a voice note. Simply Asking maps everything to everything. Memory, not storage. Use it. Ask Lumen. Search anything. Chat across your stack. Deploy AI agents into your workflows. Mount a tablet on the warehouse wall. Wherever your team works, the brain works there too. Knowing, not searching. Never the internet. Never a guess. Watch it grow. It tells you what it doesn&#39;t know. Drafts what&#39;s missing. Bundles what works. Every question makes it smarter. No question goes unanswered twice. Aware of what it doesn&#39;t know. Smarter every day. What makes us different from foundation models like ChatGPT, Claude, and Gemini: we don&#39;t compete with them, we use them. Simply Asking routes each task to the right foundation model and grounds every answer in your business. Knowing, not guessing. What makes us different from enterprise search and team wiki tools like Glean, Guru, and Notion AI: we don&#39;t just make existing content searchable. We tell you what&#39;s missing, draft what should be there, and update as the source material changes. Built for sales teams answering competitive questions in real time. For customer service deflecting tickets with cited answers. For operations standardizing playbooks across locations. For HR onboarding new hires faster. For executives surfacing patterns across the entire company brain. Simply ask Lumen. Your company&#39;s new brain.



**Who Is the Company Behind Simply Asking?**

- **Seller:** [Simply Asking](https://www.g2.com/sellers/simply-asking)
- **Year Founded:** 2023
- **HQ Location:** Indianapolis, US
- **LinkedIn® Page:** https://www.linkedin.com/company/simplyasking (2 employees on LinkedIn®)






### 22. [Squiz Funnelback Search](https://www.g2.com/products/squiz-funnelback-search/reviews)
Help users find answers from your content, everywhere they search. With intelligent on-site keyword and conversational search, and tools to improve your content’s off-site AI search visibility.



**Who Is the Company Behind Squiz Funnelback Search?**

- **Seller:** [Squiz](https://www.g2.com/sellers/squiz)
- **Year Founded:** 1998
- **HQ Location:** Sydney, New South Wales
- **Twitter:** @SquizGlobal (986 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/24580/ (385 employees on LinkedIn®)






### 23. [T5.Knowledge](https://www.g2.com/products/t5-knowledge/reviews)
T5.Knowledge consolidates corporate knowledge in a single location and, through AI-powered semantic search, provides instant access to information from Confluence, SharePoint, or emails. That saves up to two hours of search time per day and boost productivity by up to 19 %. Onboarding processes benefit from direct access to relevant manuals and best practices, while automated reports at the push of a button generate key insights from existing data. Centralized access management and GDPR‑compliant security mechanisms ensure the protection of sensitive information. Thanks to flexible integration with standard tools and a scalable architecture, T5.Knowledge is equally well suited for startups and large enterprises.



**Who Is the Company Behind T5.Knowledge?**

- **Seller:** [TensorFive](https://www.g2.com/sellers/tensorfive)
- **HQ Location:** Mainz, DE
- **LinkedIn® Page:** https://www.linkedin.com/company/tensorfive (6 employees on LinkedIn®)






### 24. [Talpa](https://www.g2.com/products/talpa/reviews)
Talpa is a research tool that serves as a magical, AI-powered library search backed by true and authoritative data, making academic research easier and more efficient.



**Who Is the Company Behind Talpa?**

- **Seller:** [Talpa](https://www.g2.com/sellers/talpa)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 25. [thesaurus-ai](https://www.g2.com/products/thesaurus-ai/reviews)
thesaurus-AI integrates and searches information scattered across Slack, Notion, and Google Drive, providing instant answers. Stop wasting time switching between tabs.



**Who Is the Company Behind thesaurus-ai?**

- **Seller:** [re-rank](https://www.g2.com/sellers/re-rank)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)







## What Is Enterprise Search Software?

[Analytics Tools &amp; Software](https://www.g2.com/categories/analytics-tools-software)

## What Software Categories Are Similar to Enterprise Search Software?

- [E-Merchandising Software](https://www.g2.com/categories/e-merchandising)
- [Insight Engines Software](https://www.g2.com/categories/insight-engines)
- [E-Commerce Personalization Software](https://www.g2.com/categories/e-commerce-personalization)
- [Knowledge Base Software](https://www.g2.com/categories/knowledge-base-software)
- [E-Commerce Search Software](https://www.g2.com/categories/e-commerce-search)
- [AI Chatbots Software](https://www.g2.com/categories/ai-chatbots)
- [ AI Agent Builders Software](https://www.g2.com/categories/ai-agent-builders)


---

## How Do You Choose the Right Enterprise Search Software?

### What You Should Know About Search Software

### What is Search Software?

Enterprise search software enables the organized retrieval of stored data within an organization so users can securely enter and find data across enterprise databases, intranets, websites, and more. This software helps clean and structure data to make it easier to find by distributing information across a variety of repositories. Search software, therefore, helps unlock the power of data, as it is only useful if it can be found. By tagging, filing, sharing, and retrieving information regardless of size and media type, enterprise search software creates a secure and powerful search function. This type of software usually integrates with [business intelligence platforms](https://www.g2.com/categories/business-intelligence-platforms) and [master data management (MDM) software](https://www.g2.com/categories/master-data-management-mdm) which are used to clean and structure data as discussed above.

While integration is not required, search software helps pull information from various sources such as [customer relationship management (CRM) software](https://www.g2.com/categories/crm), [enterprise resource planning (ERP) systems](https://www.g2.com/categories/erp-systems), [HR management suites](https://www.g2.com/categories/hr-management-suites), [product information management (PIM) software](https://www.g2.com/categories/product-information-management-pim),[e-commerce platforms](https://www.g2.com/categories/e-commerce-platforms), [web content management software](https://www.g2.com/categories/web-content-management), or [supply chain suites](https://www.g2.com/categories/supply-chain-suites).

Key Benefits of Enterprise Search Software

- Helps users easily find data, regardless of file type
- Equips users with an overview of data, enabling them to make smarter, data-driven business decisions

### Why Use Search Software?

Businesses produce vast amounts of data, much of which can be leveraged by both their employees and customers. However, this data is frequently siloed in various databases, applications, and intranets. Before users make meaningful decisions regarding their data, they must be able to find that data. Enterprise search software is an obvious solution for this pernicious problem, helping users find data in an organized, systematic way.

**Enhance productivity —** Not being able to find data slows users down. Enterprise search software enhances productivity, allowing users to quickly find what they are looking for via a seamless interface.

**Cut costs —** Building out a robust search function may be a costly endeavor and could take a significant amount of time. While search software might require additional development work in the long run, it helps businesses save money and develop insights.

**Unlock insights —** Users gain actionable information by leveraging the offerings of search software. Enterprise search software allows users to seamlessly browse a company’s assets and make informed decisions based on retrievable information.

### Who Uses Search Software?

In data-driven businesses, every employee benefits from search software. Typically, developers need to craft a comprehensive search solution and tailor it to specific business outcomes, but once the search platform is functional, it can be used to easily find various tools or data. A wide range of users can benefit from enterprise search software.

**Software developers —** Developers that want to create the next generation of products and services can use search software to build search capabilities into their applications. This additional functionality would allow users to discover data from a host of sources, helping them make data-driven decisions.

**Marketers —** Search solutions give a comprehensive view of marketing-related data and documents. As a result, marketers can work smarter and get visibility into the data produced by the various systems they use.

**Human resources —** Businesses produce and ingest a vast amount of personal data (e.g., sick leave, employee performance, and organizational charts). To properly understand it and bring all this disparate data together in one place, employee success or human resources teams can turn to search. This would allow them to get a robust understanding of their company and their employees.

**Health care professionals —** As the health care industry becomes more digital and search gains traction, it will be easier for doctors to quickly access critical information to support quick, accurate clinical decision making.

### Kinds of Search Software

Search software can be broken down into two broad groups: internal (or enterprise) and external search.

**Enterprise search —** Internal search is conducted within an organization (typically solely with company-specific, company-owned data) to help employees find data quickly and efficiently. This can involve the querying of documents, intranets, databases, applications, and more.

**External search —** External search allows businesses to securely expose select data and information sources (including product catalogs, videos, and marketing content) to external sources, such as mobile applications and websites.

### Search Software Features

Search software offers a wide range of features, including fuzzy search and filtering. These features help end users find what they want, no matter what search queries they use. The following features are found in most enterprise search software.

**Integration-friendly —** When search capabilities are integrated in a business application, users can quickly access data from different systems in a variety of formats.

**Fuzzy search —** With fuzzy search, users do not need to worry about searching with an exact keyword match. Fuzzy search functionality enables users to find related documents and data points to a particular search query.

**Federated search —** Federated search allows the user to search across different data sources, such as databases, intranets, and applications.

**Security settings —** Users can find the material which is relevant,accessible, and tailored to their specific security status or clearance.

### Trends Related to Search Software

Business data is no longer locked up in silos. With enterprise search software and other tools such as [self-service business intelligence platforms](https://www.g2.com/categories/self-service-business-intelligence), more users across a business can find and access this data. In addition, artificial intelligence (AI) tools such as [natural language processing (NLP) software](https://www.g2.com/categories/natural-language-processing-nlp) help make search solutions easier to use and more powerful, providing more accurate results.

**Conversational interface —** Search software allows users to query data in a more natural way. For example, with conversational interfaces, users can uncover the material they are looking for using intuitive language. Intuitive methods of querying data means enabling a larger user base to access and make sense of company data.

**AI-powered insights —** AI is quickly becoming a promising feature of enterprise search software. With machine learning, end users can discover hidden insights, allowing them to make sense of content and help them understand what they are seeing.

### Potential Issues with Search Software

There are a few considerations to make when buying enterprise search software. Although the benefits of deploying a search solution are clear, there are still some issues that can arise post implementation.

**Deployment issues —** Search software require lots of work by a skilled development team or vendor support staff to properly deploy the solution, especially if the data is particularly messy. Some data might not be compatible with different products and some solutions might be geared for different types of data. For example, some solutions may not be optimized for unstructured data, whilst others may be best for numerical data.

**Lack of widespread adoption —** Old habits are difficult to break. End users might struggle to adopt the solutions because they’re used to familiar processes. Therefore, it’s important for companies to have a plan to encourage and promote user adoption of the solution if they want everyone to take full advantage of enterprise search software.

**Time to market —** As with any software implementation process, it’s important to think about how long it will take to implement the search tool and integrate it into the organization’s workflow. To ensure company data can be queried, it’s important to consider related software that a company might need, such as [data integration software](https://www.g2.com/categories/data-integration).

**Risk of data security —** Data security should not be an afterthought. Companies must consider security options to ensure the right users see the correct data. Effective search solutions should offer security options that enable administrators to assign verified users different levels of access to the platform, based on their security clearance or level of seniority.

### Software and Services Related to Search Software

The following solutions can be used in conjunction with the products in this category to be able to find and make meaning from content.

[**Business intelligence platforms**](https://www.g2.com/categories/business-intelligence-platforms) **—** As mentioned above, search software is focused on finding content. If a user is looking to analyze that content, such as running statistical or numerical data, the user should consider business intelligence platforms to help analyze the data.

[**Database software**](https://www.g2.com/categories/database-software) **—** Each business has a unique set of metrics tied to their individual operation, products, and clientele. A plethora of solutions for storing, organizing, and sharing large amounts of data exists; those solutions are primed to be accessed and analyzed by enterprise search tools. When considering a search solution, users should investigate which databases can integrate with their tool and make the most logical product choice for their particular situation. These products don’t serve much purpose without the ability to pull data from the existing company database.

[**Desktop search software**](https://www.g2.com/categories/desktop-search) **—** Desktop search software allows users to quickly find files, folders, or specific content. These applications promote individual productivity by helping employees track down important information, launch applications, and share timely content or data with team members. Although they have similarities to search solutions, these products are geared toward finding content stored on the users’ personal computers and certain connected applications.

[**Insight engines**](https://www.g2.com/categories/insight-engines) **—** Companies looking for a robust and powerful enterprise search solution should consider insight engines. Employees and customers use these tools to quickly and easily find information and data, whether that be content, documents, or raw data. Insight engines use NLP solutions and machine learning when querying to best provide results.



