Dashboards and BI Tools
Tools for pulling numbers out of spreadsheets, databases, and other apps and turning them into a chart someone will actually look at. Built for recurring reports and live dashboards, with connectors to the accounting, ad, and product tools a business already runs.
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Cloud-native BI for enterprise data warehouses with machine learning and automated insights.
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Self-service BI tool from Zoho with drag-and-drop dashboards and native integrations across the Zoho ecosystem.
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Enterprise BI platform for reporting, dashboarding, and AI-driven analysis across complex data.
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Enterprise BI platform owned by Salesforce with drag-and-drop chart building and deep connectivity to enterprise data sources.
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Enterprise cloud analytics combining planning, reporting, and predictive analytics for large organizations.
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Self-service data visualization tool from Qlik with associative engine letting users explore data relationships without fixed queries.
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Cloud BI platform combining data integration, dashboards and app building for executives wanting real-time company-wide metrics.
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Open-source BI tool letting non-technical users build charts and dashboards via query builder without SQL, with free self-hosted option.
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Self-service analytics platform for data prep and visual workflow construction with AI automation
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Enterprise analytics platform for complex dashboards, OLAP analysis, and mobile BI at scale
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Spreadsheet-style cloud BI that queries directly on Snowflake, BigQuery, and Redshift with live data and SQL translation.
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Embedded analytics and BI platform for product teams building white-labeled dashboards and analytics directly within their applications.
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No-code dashboard tool built for displaying live business metrics on office TVs with simple connectors to Salesforce, Stripe and Google Sheets.
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Collaborative data notebook environment for SQL and Python with shareable dashboards and embedded data apps.
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Enterprise planning and analytics platform unifying financial and operational dashboards with AI
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Cloud dashboard builder for marketing and ops teams with prebuilt metric templates and connectors to Google Ads and HubSpot.
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Collaborative analytics combining SQL, Python, and R with visual dashboarding for data teams.
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AI-native BI platform where users type natural language questions to get instant visualizations from cloud data warehouses.
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Microsoft's business analytics service for interactive dashboards and reports, integrated with Excel, Azure, and the Microsoft 365 ecosystem.
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Google's free browser-based dashboard tool that connects to Analytics, Sheets, BigQuery and hundreds of other data sources.
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Embedded analytics platform for SaaS apps to deliver white-labeled dashboards inside customer products
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Google Cloud's enterprise BI platform built on LookML for creating governed, semantic-layer-driven dashboards across large organizations.
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Enterprise BI platform with data storytelling, collaborative dashboards, and embedded analytics.
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Open-source data visualization and BI platform for building dashboards from SQL or NoSQL databases.
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Embedded analytics platform for SaaS companies to deliver white-labeled dashboards and insights inside their products.
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AI analytics platform with semantic layer supporting SQL, spreadsheet interfaces, and bi-directional dbt integration.
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Unified BI platform combining data prep, visualization, and AI analytics with 150+ chart types
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Open-source query editor and dashboard tool supporting 35+ data sources with scheduled refresh and alerts.
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Business analytics platform that consolidates metrics from marketing, sales and finance tools into one no-code dashboard with prebuilt KPI templates.
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No-code BI platform for small and mid-size businesses combining an ETL layer with drag-and-drop dashboard building and no SQL requirement.
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Embedded BI platform with 140+ data connectors supporting SaaS deployment with multi-tenant isolation
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SQL-first analytics for building interactive dashboards directly from any SQL database with alerts and sharing
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Self-service BI with a semantic layer (AML/AQL) for defining metrics once and querying them across dashboards and AI agents.
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Open-source BI layer for dbt that reads metrics from dbt files and generates interactive dashboards.
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Managed Apache Superset with enterprise security, SOC 2 compliance, and AI SQL generation
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AI-powered analytics with conversational search and agentic workflows for self-serve data exploration
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Data storytelling platform combining dashboards with narrative text and video for executive communication.
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Marketing-focused reporting and dashboard tool that automates client reports by pulling ad and analytics data into visual templates.
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Client reporting dashboard aggregating data from 80+ marketing channels with automated email delivery
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Collaborative analytics platform where AI agents handle data exploration, dashboarding, and querying
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Web-based BI platform for interactive dashboards, reports, and alerts with AI-powered data discovery
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Analytics platform for SQL, NoSQL, and REST APIs with agentic BI for cross-source data exploration
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Code-first BI tool for fast interactive dashboards with a YAML-based semantic layer queryable by AI agents.
Frequently asked questions
В чем разница между BI-инструментами для самообслуживания и корпоративными платформами?
Инструменты самообслуживания ориентированы на интерфейсы drag-and-drop, которые позволяют отдельным пользователям самостоятельно создавать графики и легко исследовать взаимосвязи данных. Корпоративные платформы предназначены для крупных организаций, управления огромными и сложными хранилищами данных, и требуют более централизованного управления и масштабируемости.
Могу ли я использовать эти инструменты, если не умею писать SQL-запросы?
Да, многие из этих вариантов оснащены визуальными конструкторами запросов или интерфейсами в стиле электронных таблиц, которые позволяют создавать дашборды без написания кода. Некоторые платформы даже используют ИИ или автоматизированную аналитику, чтобы помочь вам анализировать данные с помощью простых взаимодействий.
Как эти инструменты работают с данными, которые находятся в разных местах, например, в электронных таблицах или облачных хранилищах?
Большинство инструментов в этой категории используют коннекторы для прямого извлечения данных из различных источников, таких как бухгалтерское ПО, рекламные платформы и облачные хранилища данных. Некоторые платформы могут даже напрямую запрашивать ваши актуальные данные в облаке, чтобы ваши дашборды обновлялись в режиме реального времени.
Есть ли возможность для разработчиков, которые хотят встроить графики в свое собственное программное обеспечение?
Да, определенные платформы специализируются на встроенной аналитике. Это позволяет продуктовым командам создавать дашборды под собственным брендом, которые функционируют как нативная часть их собственных приложений.