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Best Business Intelligence Software in 2026: 12 Tools Compared by Company Size and Requirements

Updated October 24, 2026 · 12 tools · Facts checked against vendor pages · How we review

Microsoft Power BI and Zoho Analytics are the easiest business intelligence tools to start with, since both have a free entry point. Metabase suits teams that want to self-host, ThoughtSpot fits users who prefer asking questions in plain language, and Looker serves data teams that need one shared metric layer.

This page is for companies that want business intelligence software but are unsure whether they need a free dashboard builder or a governed platform run by a data team. The tools below are grouped by company size and requirements, so a five-person agency and a 2,000-person enterprise each find realistic options. Turn the requirement lists into a request on SaaSBid and compare the offers vendors send back, rather than decoding quote-only pricing pages one at a time.

Top picks by situation

  • A 6-person team already using Zoho apps

    Zoho Analytics

    A free tier exists, paid plans begin at $30 per month on annual billing, and view-only users cost $4 per month, which keeps wide sharing cheap.

    From: Free

  • A 40-person firm on Microsoft 365

    Microsoft Power BI

    Authoring is free, the Pro licence for sharing costs $14 per user per month billed yearly, and row-level security is listed among the strengths.

    From: Free

  • A marketing agency reporting from Google Analytics 4

    Looker Studio

    The core product costs nothing and connects tightly to GA4 and Search Console, which covers most client reporting for small teams.

    From: Free

  • A startup that wants to self-host its BI

    Metabase

    The open-source edition costs nothing and reaches 20+ data sources. Every Metabase plan allows an unlimited number of questions and dashboards.

    From: Free (open source)

  • A 30-person team asking questions in plain language

    ThoughtSpot

    The Essentials plan is built for 5 to 50 people at $25 per seat monthly (annual contract), and its main interface is natural-language search with automated insights.

    From: $25 per user per month, billed annually (Essentials)

  • A Google Cloud team needing one metric definition

    Looker

    The LookML semantic layer is the core of the product and reviewers credit it with consistent metrics, though it requires LookML skills.

    From: Contact sales

Business Intelligence Software comparison table

Business Intelligence Software compared
ToolBest forStarting priceFree planFree trialG2 rating
ThoughtSpot Business users who want natural-language search over warehouse data $25 per user per month, billed annually (Essentials) No Yes 4.4 (321 reviews)
Metabase Small teams wanting a free self-hosted start Free (open source) Yes Yes 4.4 (141 reviews)
Domo Large teams that want ETL, BI and apps in one consumption-priced platform Contact sales No No 4.3 (966 reviews)
Tableau Analyst-led teams doing deep visual exploration $15 per Viewer/month (Standard, billed annually) No Yes 4.4 (3,400 reviews)
Zoho Analytics Small teams already on Zoho apps Free Yes Yes 4.2 (280 reviews)
Looker Data teams that want a central semantic layer (LookML) Contact sales No No 4.4 (1,615 reviews)
Microsoft Power BI Microsoft 365 and Azure shops Free Yes Yes 4.5 (1,646 reviews)
Looker Studio Marketers reporting from Google Analytics 4 and Search Console Free Yes No 4.4 (460 reviews)
Sigma Analysts and finance teams comfortable with spreadsheets over a cloud warehouse Contact sales No Yes 4.4 (556 reviews)
Databox Small teams and agencies that want KPI dashboards from SaaS data sources without a data team $0 (Free) Yes Yes 4.4 (194 reviews)
Qlik Sense Mid-size and large teams that want many users on one fixed annual fee (Standard onward adds users at no cost) $300/mo (Starter, billed annually) No Yes 4.4 (921 reviews)
Sisense Product teams embedding analytics via SDK or iframe Contact sales No Yes 4.2 (1,043 reviews)

What is business intelligence software?

Business intelligence software connects to the places a company keeps its numbers, such as databases, spreadsheets, CRM systems and ad accounts, and presents them as dashboards, scheduled reports and ad hoc charts. Analysts model the data once, and everyone else filters and drills into it without writing SQL for each question. Finance uses it for monthly reviews, marketing for campaign results, operations for live KPIs. Good business intelligence tools also control who may see which rows, so a regional manager sees only their region.

Core capabilities

  • Data source connectors

    Pulls data from databases, warehouses, files and SaaS apps on a schedule or live, so reports stay current without manual exports.

  • Dashboards and visualization

    Turns tables into charts, filters and interactive boards that colleagues can open, share and subscribe to.

  • Self-service exploration

    Lets non-technical users build their own reports or ask questions without waiting for an analyst.

  • Data modeling and governance

    Defines metrics once and applies row-level permissions, so every team reads the same numbers and sees only its own data.

  • Embedded analytics

    Places dashboards inside a customer portal or product, often with white-label styling and per-tenant access.

  • AI and natural-language queries

    Answers typed questions with charts and suggests insights automatically from the connected data.

The 12 best business intelligence software, reviewed

1

ThoughtSpot

$25 per user per month, billed annually (Essentials)

Business users type a question and ThoughtSpot answers from warehouse data. Essentials is $25 per seat monthly for 5 to 50 people, Pro stretches to 1,000, and developers can try embedding free for a year.

  • 1-10: poor fit
  • 11-50: strong fit
  • 51-500: strong fit
  • 500+: strong fit

Best for

  • Business users who want natural-language search over warehouse data
  • Small teams of 5 to 50 users on Essentials at $25/user
  • Embedded builders (Developer tier free 1 year)

Look elsewhere if

  • Teams under 5 users on Essentials
  • Buyers needing SSO below Enterprise

Key features

Pricing model
Per user $25 or $50 monthly billed annually, or $0.10 per credit; Enterprise custom
Target company size
Essentials 5-50 users; Pro up to 1,000; Enterprise unlimited
Self-service analytics
Natural-language search and automated insights
Visualization and dashboards
AI-powered dashboards on Pro
Embedded analytics
Developer tier free 1 year with APIs and SDK; Enterprise embedded multi-tenant
AI and natural language queries
Spotter AI Agents; LLM tokens not metered or charged by ThoughtSpot

What users like

  • Ease of use around 8.7 on G2
  • Support quality around 8.7 on G2

Full ThoughtSpot profileRequest an offer

2

Metabase

Free (open source)

Metabase offers a free open-source edition plus cloud plans built on a base fee that includes 5 or 10 users. SSO begins on the Pro plan. Reviewers like the easy setup and clean dashboards but find advanced data transformation limited.

  • 1-10: strong fit
  • 11-50: strong fit
  • 51-500: workable
  • 500+: workable

Best for

  • Small teams wanting a free self-hosted start
  • Startups needing cheap per-user cloud BI
  • Teams embedding analytics (Pro from $575/mo)

Look elsewhere if

  • Buyers needing SSO on the cheapest plan: SSO starts on Pro
  • Large governed semantic-layer rollouts (not confirmed by the vendor)

Key features

Pricing model
Base fee covering 5 (Starter) or 10 (Pro) users plus per extra user; no extra cost for dashboards, queries or data sources
Target company size
Startups and SMB; Enterprise tier from $20,000/yr
Data connectors
20+ data sources on open source
Self-service analytics
Strong ease-of-setup and dashboard scores on G2 summaries
Visualization and dashboards
Unlimited questions and dashboards on all plans
Data modeling and governance
Row and column permissions on Pro; transforms with 1,000 runs included on Starter/Pro
Embedded analytics
Advanced embedding needs Pro or Enterprise; starts at $575/mo; whitelabel and multi-tenant on Pro
AI and natural language queries
AI on your preferred model, MCP server on open source; Metabase-hosted AI $3.75 per 1M tokens

What users like

  • Easy setup
  • Good dashboards

Common complaints

  • Support quality weaker in G2 summaries
  • Advanced transformation limited

Full Metabase profileRequest an offer

3

Domo

Contact sales

Domo combines data integration, dashboards and apps in one consumption-priced platform aimed at mid-market and enterprise buyers. Prices are not published, and reviewers say setup is the weakest area. The business is also being sold to Progress Software.

  • 1-10: poor fit
  • 11-50: poor fit
  • 51-500: strong fit
  • 500+: strong fit

Best for

  • Large teams that want ETL, BI and apps in one consumption-priced platform

Look elsewhere if

  • Buyers who need price certainty: price not published and renewal reports are mixed
  • Teams wary of a platform mid-acquisition and mid-rename

Key features

Pricing model
Consumption credits plus platform fees, not published
Target company size
Mid-market to enterprise (G2 notes complexity can overwhelm small teams)

What users like

  • All-in-one connect, transform and visualize approach

Common complaints

  • Setup scored lowest on G2 (about 7.8)
  • Complexity may overwhelm smaller or less technical teams

Full Domo profileRequest an offer

4

Tableau

$15 per Viewer/month (Standard, billed annually)

Salesforce owns Tableau, which licenses people as Creator, Explorer or Viewer and insists on at least one Creator. The Viewer role begins at $15 monthly. Users like drag-and-drop dashboard building, but cost and a steep learning curve come up often.

  • 1-10: poor fit
  • 11-50: poor fit
  • 51-500: strong fit
  • 500+: strong fit

Best for

  • Analyst-led teams doing deep visual exploration
  • Salesforce customers

Look elsewhere if

  • Small teams on tight budgets (reviewers cite cost)
  • Buyers wanting a flat price per user across roles

Key features

Pricing model
Per user by role (Viewer/Explorer/Creator), Standard vs Enterprise editions
Target company size
Mid-size to enterprise
Visualization and dashboards
Drag-and-drop dashboards praised in G2 reviews
Data modeling and governance
Data Management and Advanced Management on Enterprise and Tableau+
AI and natural language queries
Tableau Agent in Tableau+

What users like

  • Drag-and-drop dashboard building
  • Wide data-source connectivity

Common complaints

  • Steep learning curve
  • Expensive
  • Slow on large datasets

Full Tableau profileRequest an offer

5

Zoho Analytics bundles users and data rows into plans, beginning with a free tier and a $30 monthly Basic edition on annual billing. Reports and dashboards are unlimited everywhere. It fits Zoho customers best, and advanced reporting is a recognized gap.

  • 1-10: strong fit
  • 11-50: strong fit
  • 51-500: workable
  • 500+: no data

Best for

  • Small teams already on Zoho apps
  • Teams wanting a free or sub-$100 start
  • Buyers who want cheap view-only users ($4/viewer)

Look elsewhere if

  • Teams needing many full creators on a low plan: caps are 2 to 50 users by plan
  • Heavy advanced reporting per some G2 reviewers

Key features

Pricing model
Plan bundles of users and rows; extra rows about $10 per 0.5M; viewers $4/mo (25 minimum)
Target company size
Small to mid-size
Data connectors
Free plan has 3 scheduled imports and 2 business app connectors
Self-service analytics
Viewers can view and interact but not create or share
Visualization and dashboards
Unlimited reports and dashboards on all plans including free
Data modeling and governance
Activity logs and audit history listed
Embedded analytics
White-label/embedded BI by contacting sales; analytics portal add-on on Premium, included on Enterprise

What users like

  • User-friendly interface
  • Strong Zoho suite integration
  • Good visualization range for the price

Common complaints

  • Steep learning curve for advanced features
  • Not seen as best for advanced reporting

Full Zoho Analytics profileRequest an offer

6

Looker

Contact sales

Google Cloud's Looker rests on the LookML modeling layer and is sold by quote, combining a platform fee with licences for viewers, standard users and developers. A data engineer and a BigQuery or Google Cloud setup make it shine. Without LookML skills it is hard going.

  • 1-10: poor fit
  • 11-50: poor fit
  • 51-500: strong fit
  • 500+: strong fit

Best for

  • Data teams that want a central semantic layer (LookML)
  • Google Cloud / BigQuery customers

Look elsewhere if

  • Small teams without a data engineer
  • Buyers wanting published self-serve pricing

Key features

Pricing model
Platform fee plus Viewer/Standard/Developer user licences
Target company size
Mid-size to enterprise with a data team
Data modeling and governance
LookML semantic layer (core product concept)
Embedded analytics
Embed edition

What users like

  • Consistent metrics through the semantic layer
  • Good Google Cloud fit

Common complaints

  • Needs LookML skills
  • Pricey and opaque

Full Looker profileRequest an offer

7

Microsoft gives Power BI away for report authoring, charges $14 per user monthly (yearly billing) for Pro sharing, and adds capacity routes via Fabric or Embedded. Microsoft 365 and Azure shops fit naturally. Reviewers mention a learning curve and slowness on big data.

  • 1-10: strong fit
  • 11-50: strong fit
  • 51-500: strong fit
  • 500+: strong fit

Best for

  • Microsoft 365 and Azure shops
  • Teams wanting low per-user cost for dashboard sharing

Look elsewhere if

  • Buyers wanting predictable capacity pricing without Fabric complexity
  • Teams mostly on non-Microsoft stacks (reviewers cite learning curve and large-data slowness)

Key features

Pricing model
Per user (Pro, PPU) or capacity (Fabric/Embedded)
Target company size
SMB to enterprise
Data modeling and governance
Larger models and more refreshes on Premium Per User
Embedded analytics
Power BI Embedded, variable pricing via sales

What users like

  • Interactive dashboards from raw data
  • Row-level security
  • Strong Microsoft integrations

Common complaints

  • Steep learning curve
  • Slow on large datasets
  • Limited customization

Full Microsoft Power BI profileRequest an offer

8

Dashboards and reports cost nothing in Looker Studio, a Google product whose Pro tier brings team workspaces and support. Marketers feeding it GA4 and Search Console data get the most value. Complaints involve configuration and co-editing, and no governed modeling exists.

  • 1-10: strong fit
  • 11-50: strong fit
  • 51-500: no data
  • 500+: no data

Best for

  • Marketers reporting from Google Analytics 4 and Search Console
  • Small teams needing free dashboards

Look elsewhere if

  • Teams needing governed semantic modeling (use Looker)
  • Heavy co-editing or complex workflows (reviewer complaints)

Key features

Pricing model
Free core; Pro per user per project
Target company size
Individuals, agencies, SMB

What users like

  • Tight Google product integrations (GA4, Search Console)
  • Free

Common complaints

  • Configuration difficulty
  • Support score weakest (7.3/10 on G2)
  • Wants better co-editing

Full Looker Studio profileRequest an offer

9

Sigma

Contact sales

Sigma lets analysts work in a familiar spreadsheet grid that runs against a cloud data warehouse, with pricing by quote. G2 reviewers rate support and setup well. They score customization lower, and its AI text generation gets 6.4 there.

  • 1-10: no data
  • 11-50: no data
  • 51-500: strong fit
  • 500+: strong fit

Best for

  • Analysts and finance teams comfortable with spreadsheets over a cloud warehouse

Look elsewhere if

  • Buyers wanting published pricing
  • Teams wanting strong AI text generation (G2 score 6.4)

Key features

Pricing model
Quote based; Capterra lists $300/mo entry
Target company size
Mid-market and enterprise per Vendr deal sizes
Self-service analytics
Spreadsheet-like interface
AI and natural language queries
AI text generation G2 score 6.4

What users like

  • Quality of support about 9.1 on G2
  • Ease of setup about 9.0 on G2

Common complaints

  • Customization scored 7.7 on G2
  • May need extra training for mid-market users

Full Sigma profileRequest an offer

10

Databox

$0 (Free)

Databox gathers marketing and sales numbers from linked apps into KPI boards. Flat tiers are sized by user and source counts rather than seats. The free plan allows a single user and 3 sources, paid plans begin at $71 a month, and SSO adds $40 a month.

  • 1-10: strong fit
  • 11-50: strong fit
  • 51-500: no data
  • 500+: no data

Best for

  • Small teams and agencies that want KPI dashboards from SaaS data sources without a data team
  • Solo analysts starting on the free plan (1 user, 3 data sources)

Look elsewhere if

  • Companies needing SSO on a base plan (it is a $40/mo add-on)
  • Teams wanting per-seat scaling: plans cap users (1, 3, 10) or data sources

Key features

Pricing model
Flat tiers by users and data sources, not per seat
Target company size
Small teams and agencies
Data connectors
Free 3, Analyst 5, Team Core 10, Team Scale 30 data sources; custom integrations from Analyst
Self-service analytics
Genie AI analyst on all plans; custom metrics (10 on Free)
Visualization and dashboards
1 dashboard on Free; unlimited dashboards and reports from Analyst per FAQ
Data modeling and governance
Governed semantic layer listed on all plans; verified assets on Team plans
AI and natural language queries
Genie AI analyst, AI credits per month (50 to 1,000), MCP server from Analyst

Full Databox profileRequest an offer

11

Qlik Sense

$300/mo (Starter, billed annually)

Qlik Sense charges a fixed annual fee based on data capacity, from 10 GB upward, and Standard plans and above add users at no extra cost. Starter begins at $300 per month, billed annually. Regional tenants include Germany, Ireland and the UK.

  • 1-10: no data
  • 11-50: strong fit
  • 51-500: strong fit
  • 500+: strong fit

Best for

  • Mid-size and large teams that want many users on one fixed annual fee (Standard onward adds users at no cost)
  • Companies needing regional tenants (Germany, Ireland, UK, Australia, Japan, Singapore) and a long certification list
  • Teams that also need data integration since Qlik owns Talend and Attunity

Look elsewhere if

  • Very small teams wanting monthly billing: all published plans are annual
  • Buyers who want a published price for Enterprise: it is quote only

Key features

Pricing model
Fixed annual fee by data capacity (10 GB to 250 GB+); Standard and up add users at no cost
Target company size
Starter for small teams, Standard/Premium mid-size, Enterprise large organizations
Data connectors
Standard connectors on Starter; Standard adds more cloud and SAP sources; Premium adds SAP data extraction and data lineage connectors; on-prem data via outbound encrypted Qlik DataTransfer
Self-service analytics
AI-powered analytics and automation builder on all plans; managed and shared spaces from Standard
Data modeling and governance
Managed and shared spaces from Standard; data lineage connectors on Premium
AI and natural language queries
AI-powered analytics, Answers Agents and MCP Server access from Starter; GenAI capacity add-ons on Premium

What users like

  • Strong data visualization scores on G2
  • Broad data integration within the Qlik platform

Common complaints

  • Ease of setup scores around 8.1 on G2, below the top peers
  • Plan matrix hides SSO and trial details on the public page

Full Qlik Sense profileRequest an offer

12

Sisense

Contact sales

Product teams pick Sisense when dashboards must live inside their own application, using an iframe or the Compose SDK. It can run as SaaS, in a dedicated cloud or on-prem. Pricing is by enterprise quote with a self-serve option, and G2 users flag setup effort.

  • 1-10: no data
  • 11-50: no data
  • 51-500: strong fit
  • 500+: strong fit

Best for

  • Product teams embedding analytics via SDK or iframe
  • Enterprises needing SaaS, dedicated cloud or on-prem deployment

Look elsewhere if

  • Buyers wanting transparent list prices
  • Teams wanting quick, simple setup (G2 reviewers cite setup effort)

Key features

Pricing model
Quote based enterprise contracts; self-serve plan
Target company size
Mid-market and enterprise
Data connectors
Connects to warehouses, databases and cloud apps
Embedded analytics
Core focus: iframe and Compose SDK embedding; SSO Router
AI and natural language queries
AI-powered capabilities suite announced June 2025 (press announcement)

What users like

  • Data integration
  • Speed on large datasets

Common complaints

  • Setup and configuration challenges

Full Sisense profileRequest an offer

How to choose business intelligence software

Pricing model

This covers how the product is licensed, such as per user, by role, by data capacity or by credits, and whether a free tier exists. Strong models make the total predictable as more people view dashboards. Weak ones hide platform fees, require a minimum creator count or only publish a quote.

Target company size

This tells you which kind of organization a product was designed around. Light self-serve tools fit small teams without data staff, whereas governed platforms expect a warehouse and analysts. A product pitched too small gets outgrown, and one pitched too large costs money for controls nobody touches.

Data connectors

Connectors decide how quickly your real data appears in a dashboard. Strong tools ship native links to databases, warehouses, spreadsheets, CRM and ad platforms, and allow custom sources. Weak tools cap the number of sources on cheap plans or leave you building pipelines yourself.

Self-service analytics

Self-service describes whether people outside the data team can find their own answers. Strong tools combine drag-and-drop building, search or plain-language questions and guardrails on the underlying data. Weak ones send every new view back to an analyst.

Visualization and dashboards

Here the question is chart variety, filter and drill-down behavior, and how simply a board reaches its audience. Strong tools build interactive views quickly and distribute them easily. Weak tools restrict how many dashboards you can have or offer few chart types.

Data modeling and governance

Governance means defining metrics once, controlling row and column access and keeping an audit trail. Strong tools provide a semantic layer and fine-grained permissions on standard plans. Weak ones leave each author to define numbers differently or put access rules in the top tier.

Embedded analytics

Embedding means showing dashboards within your own app or a client portal. Strong tools supply SDKs, white-label styling and per-tenant security. Weak tools give you a bare iframe or reserve embedding for a custom contract.

AI and natural language queries

This covers typed questions, automated insights and AI assistants that build charts for users. Strong implementations return correct, explainable answers on governed data. Weak ones produce generic text or add metered costs that are unclear in advance.

The SaaSBid view

Which business intelligence tool fits your company size

Fit of each tool by company size
Tool1-10 people11-50 people51-500 people500+ people
ThoughtSpotPoor fitStrong fitStrong fitStrong fit
MetabaseStrong fitStrong fitWorkableWorkable
DomoPoor fitPoor fitStrong fitStrong fit
TableauPoor fitPoor fitStrong fitStrong fit
Zoho AnalyticsStrong fitStrong fitWorkableNo data
LookerPoor fitPoor fitStrong fitStrong fit
Microsoft Power BIStrong fitStrong fitStrong fitStrong fit
Looker StudioStrong fitStrong fitNo dataNo data
SigmaNo dataNo dataStrong fitStrong fit
DataboxStrong fitStrong fitNo dataNo data
Qlik SenseNo dataStrong fitStrong fitStrong fit
SisenseNo dataNo dataStrong fitStrong fit

Strong fitWorkablePoor fitNo data from the vendor

Ratings follow each vendor's stated audience, minimum or maximum user counts per plan, the presence of a free tier, and whether governance controls such as row-level security or SSO are offered. Empty cells mean the vendor says nothing about that size.

  • 1-10 people

    Cost and setup time decide here. Looker Studio, Power BI and Zoho Analytics all start free, Metabase can be self-hosted at no charge, and Databox has a free plan for one user. ThoughtSpot Essentials needs at least 5 users.

  • 11-50 people

    Teams begin sharing dashboards widely and need scheduled refreshes and access rules. Power BI, Zoho Analytics, Metabase, Databox, ThoughtSpot Essentials and Qlik Sense Starter all list this range. Check how view-only users are priced.

  • 51-500 people

    Governance and connector depth matter more than chart choice. Power BI, ThoughtSpot Pro, Tableau, Looker, Sigma, Qlik Sense and Sisense are aimed at this band. Looker and Tableau tend to assume a dedicated analyst or data engineer.

  • 500+ people

    Large rollouts need SSO, permission models and often embedded or multi-tenant use. Power BI, ThoughtSpot Enterprise, Tableau, Looker, Domo, Qlik Sense and Sisense list enterprise tiers, and Sisense is built around embedding.

Feature coverage at a glance

Documented features by tool
ToolData connectorsSelf-service analyticsVisualization and dashboardsData modeling and governanceEmbedded analyticsAI and natural language queriesShare
ThoughtSpotNot documentedDocumented: Natural-language search and automated insightsDocumented: AI-powered dashboards on ProNot documentedDocumented: Developer tier free 1 year with APIs and SDK; Enterprise embedded multi-tenantDocumented: Spotter AI Agents; LLM tokens not metered or charged by ThoughtSpot67%
MetabaseDocumented: 20+ data sources on open sourceDocumented: Strong ease-of-setup and dashboard scores on G2 summariesDocumented: Unlimited questions and dashboards on all plansDocumented: Row and column permissions on Pro; transforms with 1,000 runs included on Starter/ProDocumented: Advanced embedding needs Pro or Enterprise; starts at $575/mo; whitelabel and multi-tenant on ProDocumented: AI on your preferred model, MCP server on open source; Metabase-hosted AI $3.75 per 1M tokens100%
DomoNot documentedNot documentedNot documentedNot documentedNot documentedNot documented0%
TableauNot documentedNot documentedDocumented: Drag-and-drop dashboards praised in G2 reviewsDocumented: Data Management and Advanced Management on Enterprise and Tableau+Not documentedDocumented: Tableau Agent in Tableau+50%
Zoho AnalyticsDocumented: Free plan has 3 scheduled imports and 2 business app connectorsDocumented: Viewers can view and interact but not create or shareDocumented: Unlimited reports and dashboards on all plans including freeDocumented: Activity logs and audit history listedDocumented: White-label/embedded BI by contacting sales; analytics portal add-on on Premium, included on EnterpriseNot documented83%
LookerNot documentedNot documentedNot documentedDocumented: LookML semantic layer (core product concept)Documented: Embed editionNot documented33%
Microsoft Power BINot documentedNot documentedNot documentedDocumented: Larger models and more refreshes on Premium Per UserDocumented: Power BI Embedded, variable pricing via salesNot documented33%
Looker StudioNot documentedNot documentedNot documentedNot documentedNot documentedNot documented0%
SigmaNot documentedDocumented: Spreadsheet-like interfaceNot documentedNot documentedNot documentedDocumented: AI text generation G2 score 6.433%
DataboxDocumented: Free 3, Analyst 5, Team Core 10, Team Scale 30 data sources; custom integrations from AnalystDocumented: Genie AI analyst on all plans; custom metrics (10 on Free)Documented: 1 dashboard on Free; unlimited dashboards and reports from Analyst per FAQDocumented: Governed semantic layer listed on all plans; verified assets on Team plansNot documentedDocumented: Genie AI analyst, AI credits per month (50 to 1,000), MCP server from Analyst83%
Qlik SenseDocumented: Standard connectors on Starter; Standard adds more cloud and SAP sources; Premium adds SAP data extraction and data lineage connectors; on-prem data via outbound encrypted Qlik DataTransferDocumented: AI-powered analytics and automation builder on all plans; managed and shared spaces from StandardNot documentedDocumented: Managed and shared spaces from Standard; data lineage connectors on PremiumNot documentedDocumented: AI-powered analytics, Answers Agents and MCP Server access from Starter; GenAI capacity add-ons on Premium67%
SisenseDocumented: Connects to warehouses, databases and cloud appsNot documentedNot documentedNot documentedDocumented: Core focus: iframe and Compose SDK embedding; SSO RouterDocumented: AI-powered capabilities suite announced June 2025 (press announcement)50%

A check means the vendor documents the capability publicly (hover for the detail). A dash means we found no public documentation, which is a question to put in your request, not proof the feature is missing.

Business Intelligence Software requirements checklist

Use this list to write down what your team actually needs. Sorting requirements into must-have, should-have and nice-to-have is what lets vendors quote accurately instead of pitching their biggest plan.

Must have

  • Native connectors for our database, Google Sheets and CRMMissing connectors force custom pipelines, which add cost and delay.
  • Dashboards that refresh on a schedule without manual uploadsStale numbers erode trust in the tool within weeks.
  • Row-level permissions so managers only see their own regionAccess rules are often limited to higher plans and shift the quote.
  • Business users can build a basic report without SQLIt determines whether analysts become a bottleneck for every request.
  • Sharing with colleagues who only view dashboardsViewer licences are priced very differently from creator licences.

Should have

  • A shared definition for metrics such as revenue and active customersA semantic layer keeps different teams from reporting different totals.
  • Scheduled email or Slack delivery of reportsMany executives will never log in to a dashboard.
  • Export to PDF and spreadsheet formatsBoard packs and client reports still travel as files.
  • An API or SDK for custom integrationsProgrammatic access is sometimes charged as an add-on.

Nice to have

  • Natural-language questions answered with chartsIt lowers the barrier for casual users, but quality varies by vendor.
  • White-label embedding in our customer portalEmbedding usually moves us into a separate pricing tier.
  • Self-hosted deployment optionSome data policies require that data stays on our own infrastructure.

Turn this checklist into a request

Questions vendors will ask you

Have answers ready for these, and your first conversation with a vendor starts at pricing instead of discovery.

  1. How many people will build content, and how many will only view it?Creator, explorer and viewer licences are priced separately at most vendors.
  2. Where does your data live today, in a warehouse, a database or spreadsheets?The source system decides which connectors and how much preparation work are needed.
  3. Do you have an analyst or data engineer who will maintain models?Governed platforms assume this person, and lighter tools do not.
  4. Do dashboards need to appear inside your own product or for external clients?Embedding and external sharing are often priced as separate capacity or tiers.
  5. Which rules decide who can see which rows of data?Row-level security and SSO availability differ by plan.
  6. How fast must data refresh, and how large are your biggest tables?Refresh frequency and data volume affect capacity-based pricing and performance.

Example request

What a strong business intelligence software request looks like
We are a 60-person e-commerce company with four people in analytics and finance. Sales data sits in Postgres, ad spend in Google Ads and Meta, and revenue targets in Google Sheets. Today we rebuild the same weekly reports by hand. We need scheduled dashboards, connectors for those sources, row-level access so each market lead sees only their own country, and a way for about 40 colleagues to view reports without a full licence. Two analysts will build content. We would like a pilot within a month and expect a budget in the low five figures per year.

Write your own request

Business Intelligence Software FAQ

What are business intelligence tools?

BI tools plug into company data and show it as dashboards, recurring reports and quick ad hoc analysis. Colleagues without technical skills can follow KPIs and drill into figures instead of filing requests with an analyst. Some products add data preparation, governance and embedding on top.

Which business intelligence tools suit a small company best?

Microsoft Power BI, Zoho Analytics, Looker Studio and Metabase all have free entry points. Databox suits agencies that want marketing and sales KPIs, while ThoughtSpot Essentials fits teams of 5 to 50 who prefer asking questions in plain language.

Is there free business intelligence software?

Yes. Power BI lets you author reports for free, Zoho Analytics and Databox offer free plans, Looker Studio's core is free, and Metabase is open source. Each free option limits users, sources or sharing, so verify your team fits first.

Is a data warehouse required before choosing a BI product?

Not necessarily. Looker Studio, Databox and Zoho Analytics read straight from business apps and spreadsheets. Looker and Sigma, by contrast, sit on top of a warehouse and assume you run one already.

How is business intelligence different from data analytics?

Business intelligence mostly reports what has happened and what is happening now, through dashboards and recurring reports. Data analytics is the broader practice of digging for causes and predictions, often with code and statistical methods. Many BI tools now blend both.

What should I include in a business intelligence request for offers?

List your data sources, number of creators and viewers, access rules, refresh needs, embedding plans and rollout date. Add your budget range in words. Vendors can then quote the right licence mix instead of guessing.

The bottom line

Begin by deciding who builds content and who only views it, because that split drives both licence cost and tool choice. Then drop any product that cannot reach your data sources or enforce your access rules. Usually three or four candidates remain. A precise request on SaaSBid lets vendors quote the correct licence mix and setup scope, so the offers you receive can be compared line by line.

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