InSearch
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Enterprise search software AI work assistant Knowledge base search AI enterprise search Internal knowledge search Workplace search Search all company apps AI knowledge assistant Unified search Search Slack & Drive AI assistant for work Knowledge management RAG for enterprise Cited AI answers Confluence search Notion search AI for support agents Sales enablement search Engineering search HR knowledge assistant Permission-aware search Secure AI search Onboarding knowledge SharePoint search See all →
Glean alternative GoSearch alternative Dust alternative Guru alternative Coveo alternative Microsoft Copilot alternative Amazon Kendra alternative Lucidworks alternative Moveworks alternative Sinequa alternative Atlassian Rovo alternative Glean pricing Hebbia alternative Onyx alternative Bloomfire alternative Amazon Q Business alternative Amazon Quick Suite alternative Amazon Q Business pricing Gemini Enterprise alternative Gemini Enterprise pricing Google Agentspace alternative
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Compare · Amazon Quick Suite

Amazon Quick Suite alternative: cited, permission-aware search with no migration project

Amazon Quick, often written Amazon Quick Suite, is what AWS now recommends to Amazon Q Business customers. AWS calls it "the next evolution of Amazon Q Business," and it is genuinely more ambitious: chat, agents, Flows for workflow automation, Research, Spaces, and QuickSight built in for analytics on structured data. If your goal is an agentic assistant that also builds dashboards, it is a serious platform and worth your evaluation.

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One search · cited answers · permission-aware

Answer Console
Permission-aware · no PII
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Sources

Ask your company anything

InSearch searches across Drive, Slack, Notion, Confluence, Gmail, Jira and Salesforce in one query and returns a written answer with citations, only ever from sources you're allowed to see.

Drive Slack Notion Confluence Gmail Jira Salesforce
↓ one clear, cited answer

Searching connected apps

Working

Answer

Only sources you have access to
Sources

Live, interactive · cited answers

Every answer cited to its source documents · permission-aware · never trains on your data

The reason teams look for a Quick Suite alternative is usually narrower. Plenty of companies do not want an agent platform. They want one honest search box that reaches every app and returns an answer they can verify, without a migration plan. AWS's own migration guide is candid about the work: Bring Your Own Index caps you at two Q Business indexes per region on a quota that cannot be increased, Q Apps have to be rebuilt as Quick Flows because they are excluded from BYOI, guardrails and Actions do not carry over, and document-level ACLs are supported for S3, Confluence Cloud, SharePoint and Google Drive but must be enabled when the knowledge base is created because the setting is permanent.

The access-control detail is the one worth reading twice. In a non-IAM-Identity-Center setup, AWS writes that "all Amazon Quick users automatically receive access to connected indexes," so you lose the per-user and per-group distinctions you had, and the documented fix is to split content into separate knowledge bases and script permissions back on. InSearch takes the opposite approach: permissions are never something you rebuild, because every answer is scoped at query time to what that person can already open in the source app.

Amazon Quick Suite is a broad agentic work platform with BI built in. InSearch is deliberately narrower: one cross-app search that returns a cited answer scoped to each person's existing permissions, with nothing to migrate and no per-account fee.

Side by side

Amazon Quick Suite vs InSearch, honestly

A fair look at what each does well. Both are capable tools. Here is where they differ.

What matters InSearch Amazon Quick Suite
What it is Focused cross-app enterprise search with cited answers Broad agentic work platform: chat, agents, Flows, Research, Spaces and QuickSight BI
Permissions Item-level permissions inherited per source, enforced at query time for everyone Document-level ACLs for S3, Confluence Cloud, SharePoint and Google Drive; must be enabled at knowledge base creation and cannot be changed afterwards
Non-SSO access control Always per person, regardless of how you authenticate AWS documents that without IAM Identity Center, all Quick users automatically receive access to connected indexes
Cost model One transparent per-seat price, no per-account fee Free $0, Plus $20/user/mo annual, Professional $20/user/mo and Enterprise $40/user/mo, the last two adding a $250 per account per month infrastructure fee
Usage limits Search and cited answers are not metered by the hour Monthly agent hours per tier with $3 per agent hour overage, and storage overage at $5 per GB per month
Connectors beyond the native list Native connectors to the workplace apps, no protocol glue required MCP integrations, which AWS notes cannot be used as knowledge base data sources and carry a fixed 60 second timeout
Best suited for Teams who want verifiable answers across their apps, fast AWS-committed teams who want agents, automation and BI in one platform

Comparison reflects general, publicly understood positioning. Capabilities change, so check each product for the latest.

Why teams pick InSearch

One cited, permission-aware search across every app

Nothing to migrate

No index to bring over, no Q Apps to rebuild as Flows, no ACL scripts. Connect the apps you already use and ask a question.

Permissions are not a rebuild step

InSearch reads each source's own item-level access controls at query time. There is no mode in which everyone silently gets access to everything.

One price, no account fee

Transparent per-seat pricing with no $250 per-account monthly infrastructure charge and no metered agent hours to forecast.

Good questions

Amazon Quick Suite vs InSearch, answered

Amazon Quick, also referred to as Quick Suite, is AWS's AI assistant for work and the service AWS recommends to Amazon Q Business customers, describing it as the next evolution of that product. It combines chat and agents with Flows for workflow automation, Research, Spaces for knowledge management, and QuickSight for analytics on structured data.
AWS publishes four tiers: Free at $0, Plus at $20 per user per month billed annually, Professional at $20 per user per month, and Enterprise at $40 per user per month. Professional and Enterprise each add a $250 per account per month infrastructure fee, and overages run $3 per agent hour and $5 per GB per month for storage.
It is the path AWS recommends, and Bring Your Own Index makes the first step low risk because Q Business keeps running in parallel. Budget for real work though: BYOI supports a maximum of two Q Business indexes per region on a quota that cannot be increased, and Q Apps, Actions and guardrails are excluded and must be recreated.
For some sources. AWS documents document-level ACL support for S3, Confluence Cloud, SharePoint and Google Drive knowledge bases, and ACLs must be enabled when the knowledge base is created because the setting is permanent. For connectors without native ACL crawling, the documented approach is segmenting content into separate knowledge bases by access level.
Mainly scope and effort. Quick Suite is a wide platform covering agents, automation and BI, which is more than many teams want to buy or govern. If the actual job is finding a verifiable answer across Drive, Slack, Notion, Confluence and Gmail, a focused enterprise search delivers that without a migration plan or a per-account fee.

More comparisons

See how InSearch compares

vs Glean

Glean alternative

The same cited, permission-aware search, easier to start.

 vs GoSearch

GoSearch alternative

Cited, permission-aware answers across every app.

 vs Dust

Dust alternative

Search-first, with cited answers out of the box.

 vs Guru

Guru alternative

Live search across every app, not just a curated wiki.

 vs Coveo

Coveo alternative

Cited answers and an easy start, not a platform build.

 vs Microsoft Copilot

Microsoft Copilot alternative

Neutral search across every app, not just Microsoft 365.

 vs Amazon Kendra

Amazon Kendra alternative

Kendra is in maintenance mode. Here is where to land.

 vs Lucidworks

Lucidworks alternative

Workplace search without a Kubernetes cluster to run.

 vs Moveworks

Moveworks alternative

Now a ServiceNow product. Here is the independent option.

 vs Sinequa

Sinequa alternative

Built for the modern SaaS stack, not a two-year rollout.

 vs Atlassian Rovo

Atlassian Rovo alternative

For companies that are not only an Atlassian shop.

 vs Glean

Glean pricing

What Glean actually costs, and what to compare it against.

 vs Hebbia

Hebbia alternative

Company-wide cited search, not finance-desk document diligence.

 vs Onyx

Onyx alternative

The same cited, permission-aware answers, fully managed and no-ops.

 vs Bloomfire

Bloomfire alternative

Search where work already lives, instead of curating a knowledge base.

 vs Amazon Q Business

Amazon Q Business alternative

Still open to new customers, and permission-aware by default.

 vs Amazon Q Business

Amazon Q Business pricing

Seats are the small half of the bill. Index capacity is the rest.

 vs Gemini Enterprise

Gemini Enterprise alternative

Cross-app cited answers without a Google Cloud project to run.

 vs Gemini Enterprise

Gemini Enterprise pricing

Four editions, an annual discount, and an overage SKU nobody budgets for.

 vs Google Agentspace

Google Agentspace alternative

Agentspace became Gemini Enterprise. Here is what that means for buyers.
See every use case

Find any answer at work with InSearch

One search across all your company apps, a clear cited answer, scoped to exactly what each person can see, and never trained on your data.

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One search across every app · cited answers · permission-aware · never trains on your data