# Best Embedded Business Intelligence Software - Page 2 *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)* Embedded business intelligence software provides analytics capabilities within the context of a business application. Software developers can use embedded business intelligence tools to quickly incorporate self-service analytics capabilities into business applications. Additionally, some [business intelligence platforms](https://www.g2.com/categories/business-intelligence-platforms) and [self-service business intelligence software](https://www.g2.com/categories/self-service-business-intelligence) provide the ability to embed dashboards into applications used internally by employees, to allow for easier and more convenient analysis. The tools differ in terms of the degree of embeddability and the extent to which end users can customize the analytics and dashboards. Embedded BI products provide developers with a software development kit for adding analytics functionality to a given application, making it easy to house the analytics inside a proprietary product. While these tools may be sold to enterprise companies to be deployed in internal systems, they are by and large sold to other software companies. Embedded analytics are intended to be used by the average business user within an application, therefore they commonly offer self-service analysis functionality. However, if the product cannot be used as a standalone self-service business intelligence tool in addition to its embedding capability, it only qualifies for the Embedded Business Intelligence category. To qualify for inclusion in the Embedded Business Intelligence category, a product must: - Be able to be sold as an OEM product to other software development companies to be embedded within their application - Be used by developers to embed analytics capabilities inside a business application - Consume data from any source - Allow users to transform data into a useful and relatable model embedded within a business application - Create reports and visualizations with business utility embedded within a business application ## Top Embedded Business Intelligence Software at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Tableau](https://www.g2.com/products/tableau/reviews) | 4.4/5.0 (3,574 reviews) | Multi-source dashboard embedding inside Salesforce workflows | "[Tableau Makes Data Visualization Easy with Strong Integrations](https://www.g2.com/survey_responses/tableau-review-12975791)" | | 2 | [Jaspersoft](https://www.g2.com/products/jaspersoft/reviews) | 4.1/5.0 (207 reviews) | Pixel-perfect embedded reporting with scheduled delivery | "[The best reporting tool to get the detailed analysis of a software (Analytics Tool)](https://www.g2.com/survey_responses/jaspersoft-review-11425328)" | | 3 | [Amazon QuickSight](https://www.g2.com/products/amazon-quicksight/reviews) | 4.3/5.0 (675 reviews) | Pay-per-session embedded analytics on AWS pipelines | "[Turns Raw Data into Interactive Dashboards for Better Trend Monitoring](https://www.g2.com/survey_responses/amazon-quicksight-review-12740199)" | | 4 | [GoodData.AI](https://www.g2.com/products/gooddata-ai/reviews) | 4.3/5.0 (589 reviews) | White-labeled multi-tenant embedded analytics delivery | "[Mosaic & Semantic Layer Unite Our Data, Plus Helpful AI Dashboard Suggestions](https://www.g2.com/survey_responses/gooddata-ai-review-12912613)" | | 5 | [IBM Cognos Analytics](https://www.g2.com/products/ibm-cognos-analytics/reviews) | 4.1/5.0 (435 reviews) | Governed pixel-perfect reporting inside IBM enterprise ecosystems | "[Powerful, Scalable Analytics with Interactive Dashboards and Strong Governance](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12770018)" | | 6 | [Hex](https://www.g2.com/products/hex-tech-hex/reviews) | 4.5/5.0 (397 reviews) | Code-first notebooks with publishable self-serve apps | "[Effortless Data Analysis with Powerful AI](https://www.g2.com/survey_responses/hex-review-12262172)" | | 7 | [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) | 4.4/5.0 (543 reviews) | Snowflake-native embedded analytics with writeback | "[Easiest BI Tool: Live Snowflake Data in a Spreadsheet-Like Experience](https://www.g2.com/survey_responses/sigma-review-12573150)" | | 8 | [Yellowfin BI](https://www.g2.com/products/yellowfin-bi/reviews) | 4.4/5.0 (418 reviews) | White-labeled multi-tenant analytics embedding for ISVs | "[Brilliant Data Storytelling and Robust Dashboards with Yellowfin BI](https://www.g2.com/survey_responses/yellowfin-bi-review-12827644)" | | 9 | [Google Chart Tools](https://www.g2.com/products/google-chart-tools/reviews) | 4.2/5.0 (499 reviews) | Google-native embedded charting for web applications | "[Seamless Integration and Easy Creation of Complex Charts](https://www.g2.com/survey_responses/google-chart-tools-review-12661987)" | | 10 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (989 reviews) | Multi-source data embedding with no-code ETL | "[All-in-One Platform for Real-Time Analytics and Dashboards](https://www.g2.com/survey_responses/domo-review-12676104)" | ## How Many Embedded Business Intelligence Software Products Does G2 Track? **Total Products under this Category:** 147 ### Category Stats (Jun 2026) - **Average Rating**: 4.42/5 (↑0.01 vs May 2026) The average rating of products in this category, based on all submitted ratings - **New Reviews This Quarter**: 147 - **Buyer Segments**: Mid-Market 46% │ Small-Business 28% │ Enterprise 26% Represents the distribution of reviewers across all products in this category. - **Top Trending Product**: Diver Platform (+3.71%) - Among all products in this category, Diver Platform recorded the largest rating increase compared to last month *Last updated: June 09, 2026* ## How Does G2 Rank Embedded Business Intelligence Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 18,000+ Authentic Reviews - 147+ 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 Embedded Business Intelligence Software Is Best for Your Use Case? - **Leader:** [Tableau](https://www.g2.com/products/tableau/reviews) - **Highest Performer:** [Reveal](https://www.g2.com/products/reveal-2022-05-24/reviews) - **Easiest to Use:** [GoodData.AI](https://www.g2.com/products/gooddata-ai/reviews) - **Top Trending:** [Hex](https://www.g2.com/products/hex-tech-hex/reviews) - **Best Free Software:** [Looker](https://www.g2.com/products/looker/reviews) --- **Sponsored** ### Reveal Reveal is a True SDK embedded analytics and business intelligence (BI) platform designed to be integrated natively into existing applications. Unlike iFrame-based or bolt-on BI tools, Reveal is purpose-built for embedding — delivering full analytical functionality inside any app with complete control over UX, branding, and architecture, and no separate licensing, infrastructure overhead, or complex setup. What Reveal does: Reveal enables software teams to add robust analytics and interactive dashboards to their products through a True SDK — meaning analytics run as a native part of your application, not an embedded webpage. End users get a self-service BI experience — including drag-and-drop dashboard creation, conversational AI analytics, data blending, drill-down, predictive analysis, dashboard linking, calculated fields, statistical functions, and interactive chart filtering — all within the host application. Platform and technology support: Reveal integrates with virtually any tech stack via native SDKs for: - Back-end frameworks: .NET Core, Java, Node.js - Front-end frameworks: React, Angular, Vue.js, Blazor, Web Components, jQuery, MVC - Java frameworks: Spring, Tomcat, Apache - Cloud providers: All major providers fully supported - Deployment options: Cloud, private cloud, on-premises, and air-gapped environments - Server operating systems: Windows, Linux, macOS Who it's for: Product and engineering teams building SaaS applications, enterprise software, or internal tools who need to embed analytics natively — without iFrames, redirects, or forcing users into a separate BI platform. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=paid_promo&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=622&secure%5Bmedium%5D=sponsored&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=14829&secure%5Bresource_id%5D=622&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fembedded-business-intelligence&secure%5Btoken%5D=8ddfc4f9ac3775ff24932039a0fed18d1f47901443e0e0bac6e00c93e6e4012b&secure%5Burl%5D=https%3A%2F%2Fwww.revealbi.io%2Ffeatures&secure%5Burl_type%5D=paid_promos) --- ## What Are the Top-Rated Embedded Business Intelligence Software Products in 2026? ### 1. [Plotly Dash Enterprise](https://www.g2.com/products/plotly-dash-enterprise/reviews) Dash is the trusted solution for operationalizing Python models, allowing data science teams to focus on data and models, while still producing and deploying enterprise-ready apps. What would typically require a team of back-end developers, front-end developers and IT can all be done with Dash. It enables data science teams to build, design, deploy, and securely manage data-driven applications that align with your business goals. Companies can deliver on their data, analytic, and AI initiatives quickly and effectively -- no JavaScript, CSS, CronJobs or DevOps required. **Average Rating:** 4.8/5.0 **Total Reviews:** 36 **How Do G2 Users Rate Plotly Dash Enterprise?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10) - **Steps to Answer:** 7.9/10 (Category avg: 8.3/10) - **Reports Interface:** 8.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Plotly Dash Enterprise?** - **Seller:** [Plotly](https://www.g2.com/sellers/plotly) - **Year Founded:** 2013 - **HQ Location:** Montréal, CA - **Twitter:** @plotlygraphs (41,318 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3327684/ (106 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 47% Small-Business, 31% Enterprise #### What Are Plotly Dash Enterprise's Pros and Cons? **Pros:** - Charting Features (1 reviews) - Coding Ease (1 reviews) - Customer Support (1 reviews) - Dashboard Management (1 reviews) - Data Visualization (1 reviews) ### 2. [Metabase](https://www.g2.com/products/metabase/reviews) Metabase is the easy-to-use, open source Business Intelligence tool that lets everyone work with data, with or without SQL, for internal and customer-facing, embedded analytics. Install and setup in 5 minutes. Works with what’s already in your data stack, including SQL and NoSQL databases, from PostgreSQL to MongoDB. Let your whole team explore data on their own, create charts, interactive dashboards, and set up subscriptions and alerts - even to people outside of your org. The native SQL editor and advanced data tools will win over your data team. From Open Source (Always Free) to Enterprise, from Metabase Cloud to self-hosted, Metabase has everything you need scale with you with a number of affordable plans. Try free for 14 days. **Average Rating:** 4.4/5.0 **Total Reviews:** 145 **How Do G2 Users Rate Metabase?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.5/10 (Category avg: 8.3/10) - **Reports Interface:** 8.9/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Metabase?** - **Seller:** [Metabase](https://www.g2.com/sellers/metabase) - **Year Founded:** 2014 - **HQ Location:** Lucknow, Uttar Pradesh - **Twitter:** @metabase (8,747 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/6460313/ (126 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Product Manager, Business Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 52% Mid-Market, 34% Small-Business #### What Are Metabase's Pros and Cons? **Pros:** - Ease of Use (12 reviews) - Data Visualization (5 reviews) - Easy Setup (5 reviews) - Implementation Ease (5 reviews) - Intuitive (5 reviews) **Cons:** - Slow Performance (5 reviews) - Missing Features (4 reviews) - Slow Loading (4 reviews) - Performance Issues (3 reviews) - Dashboard Issues (2 reviews) ### 3. [Cube](https://www.g2.com/products/cube-2023-07-31/reviews) Cube Cloud is a universal semantic layer that makes it easy to connect siloed data and create consistent metrics that are accessible to any data consumer–AI, BI, spreadsheets, and embedded analytics. The solution provides unmatched integrations and interoperability, supporting a robust set of deployment options, data connectivity, coding languages, and native APIs so that you can build solutions to fit your unique requirements on the modern data stack. With Cube Cloud, business data becomes consistent, accurate, easy to access, and most importantly, trusted. Data engineers and application developers use Cube Cloud’s code-first, developer-oriented platform to: - Organize and govern data from cloud data warehouses into centralized, consistent, and reusable data models and business definitions. - Apply software engineering best practices and processes to data management: CI/CD, isolated environments, and version control with Git integration. - Use intelligent capabilities like data model code generation and front-end embedded analytics code generation to increase productivity. - Optimize query performance and save on cloud data usage with pre-aggregation caching capabilities. - Deliver data to any downstream tool via data APIs: SQL, REST, GraphQL, AI, and MDX. Cube accelerates trusted data-driven decisions, delivering better experiences to employees inside the organization, customers outside the organization, and even machines with our native OpenAI integrations. Build Generative AI experiences with the AI API. For internal BI use cases, Cube Cloud provides a semantic catalog and Generative AI capabilities to simplify discovery, exploration, and access to modeled data and downstream, connected BI content for data analysts and business users. You can add unlimited named user accounts to allow anyone to search and reuse trusted data products and perform natural language queries in a simplified, business user-friendly interface. **Average Rating:** 4.5/5.0 **Total Reviews:** 27 **How Do G2 Users Rate Cube?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.9/10 (Category avg: 8.3/10) - **Reports Interface:** 9.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.9/10 (Category avg: 8.5/10) **Who Is the Company Behind Cube?** - **Seller:** [Cube](https://www.g2.com/sellers/cube-637927e0-6501-4673-89d8-4d5ecadb4f96) - **Year Founded:** 2019 - **HQ Location:** San Francisco, CA - **Twitter:** @the_cube_dev (2,215 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/cube-dev/ (47 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 52% Small-Business, 37% Mid-Market #### What Are Cube's Pros and Cons? **Pros:** - Ease of Use (5 reviews) - Customization (4 reviews) - Powerful BI (4 reviews) - Customer Support (3 reviews) - Flexibility (3 reviews) **Cons:** - Missing Features (4 reviews) - Bugs (3 reviews) - Data Integration (2 reviews) - Limited Features (2 reviews) - Software Bugs (2 reviews) ### 4. [The m-Power Development Platform](https://www.g2.com/products/the-m-power-development-platform/reviews) m-Power is an enterprise low-code platform built to eliminate the common low-code drawbacks. Most low-code tools promise development speed, but they come with trade-offs: hidden fees, user limits, vendor lock-in, forced cloud hosting, and roadblocks the moment you need real customization. m-Power is different. What Makes m-Power Different? Like other low-code tools, m-Power lets your existing team build all types of web applications without specialized skills. Here's where it breaks from the pack: Perpetual Licensing (Yes, Really): m-Power is one of the few remaining low-code platforms that still offers a true perpetual license. Buy it once, own it forever. No rising subscription fees or per-user fees. Self-Hosted, On Your Infrastructure: Run m-Power on-premise or in your own cloud, always over your existing databases. Your data never leaves your environment. No forced migration or vendor sitting between you and your systems. Open Architecture, Full Customization: m-Power is built on open architecture and designed for limitless customization. Extend, modify, and maintain applications inside or outside the platform, with no vendor lock-in. Unlimited Users, Apps, and Data: Grow without restrictions. No costly user tiers, app caps, or data limits to plan around. Enterprise-Grade Output: m-Power generates production-ready, secure, scalable applications that integrate cleanly with the systems you already run. Expert Support and Services: Our support desk is staffed by m-Power experts, not entry-level techs. They'll answer any question, and can even step in to help you deliver projects faster. Need more? Our consulting team delivers turn-key solutions end to end. **Average Rating:** 4.7/5.0 **Total Reviews:** 30 **How Do G2 Users Rate The m-Power Development Platform?** - **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 8.9/10) - **Steps to Answer:** 9.0/10 (Category avg: 8.3/10) - **Reports Interface:** 8.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.9/10 (Category avg: 8.5/10) **Who Is the Company Behind The m-Power Development Platform?** - **Seller:** [mrc](https://www.g2.com/sellers/mrc) - **Year Founded:** 1981 - **HQ Location:** Oak Brook, Illinois - **Twitter:** @mrcproductivity (312 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/810430/ (8 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 70% Mid-Market, 20% Enterprise #### What Are The m-Power Development Platform's Pros and Cons? **Pros:** - Client Management (2 reviews) - Customer Support (2 reviews) - Ease of Learning (2 reviews) - Ease of Use (2 reviews) - Easy Creation (2 reviews) **Cons:** - Difficult Navigation (1 reviews) - Learning Curve (1 reviews) - Learning Difficulty (1 reviews) - Limited Customization (1 reviews) - Poor Interface Design (1 reviews) ### 5. [Omni Analytics](https://www.g2.com/products/omni-analytics-inc-omni-analytics/reviews) Omni is a business intelligence and embedded analytics platform that empowers everyone—regardless of technical ability—to easily analyze data using SQL, spreadsheets, AI, or point-and-click interfaces. It is built on a semantic layer that ensures every insight is accurate and dependable. Beyond powering internal analytics, Omni makes it easy for businesses to offer highly customizable in-product analytics to their customers. We build our product fast and in the open, with new features releasing every week. You can follow along by watching our public engineering demos at: omni.co/demos To learn more about how companies like BuzzFeed use Omni, check out: omni.co/customer-case-studies **Average Rating:** 4.8/5.0 **Total Reviews:** 65 **How Do G2 Users Rate Omni Analytics?** - **Has the product been a good partner in doing business?:** 9.9/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.9/10 (Category avg: 8.3/10) - **Reports Interface:** 9.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.1/10 (Category avg: 8.5/10) **Who Is the Company Behind Omni Analytics?** - **Seller:** [Omni Analytics, Inc](https://www.g2.com/sellers/omni-analytics-inc) - **Company Website:** https://omni.co/ - **Year Founded:** 2022 - **HQ Location:** San Francisco, CA - **Twitter:** @omni (4,282 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/exploreomni/ (805 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 42% Mid-Market, 42% Small-Business #### What Are Omni Analytics's Pros and Cons? **Pros:** - Ease of Use (14 reviews) - Customer Support (10 reviews) - Easy Integrations (8 reviews) - Innovation (8 reviews) - Data Visualization (7 reviews) **Cons:** - Missing Features (8 reviews) - Learning Curve (5 reviews) - Limited Features (4 reviews) - Complex Data Modeling (3 reviews) - Difficult Setup (3 reviews) ### 6. [AISquared](https://www.g2.com/products/aisquared/reviews) AISquared bridges the gap between cutting-edge AI and tangible business outcomes by simplifying integrations, accelerating AI adoption, and empowering teams with real-time, contextual data for smarter decisions. Easily connect your own AI models or leading LLMs like OpenAI, Anthropic to seamlessly embed insights within your existing business applications. With Retrieval-Augmented Generation (RAG), AI Squared ensures every response is relevant and actionable, leveraging contextual data from CRMs, ERPs, and other enterprise tools. Built-in feedback loops and performance metrics enable you to measure effectiveness, refine AI use cases, and continually align with evolving business needs—maximizing ROI and driving impactful results. **Average Rating:** 4.8/5.0 **Total Reviews:** 24 **How Do G2 Users Rate AISquared?** - **Steps to Answer:** 9.2/10 (Category avg: 8.3/10) - **Reports Interface:** 9.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.5/10 (Category avg: 8.5/10) **Who Is the Company Behind AISquared?** - **Seller:** [AI Squared](https://www.g2.com/sellers/ai-squared) - **Year Founded:** 2021 - **HQ Location:** Mountain View, CA - **LinkedIn® Page:** https://www.linkedin.com/company/aisquaredinc/ (67 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 46% Mid-Market, 33% Small-Business #### What Are AISquared's Pros and Cons? **Pros:** - Integrations (8 reviews) - Easy Integrations (6 reviews) - Data Synchronization (5 reviews) - Ease of Use (5 reviews) - User Interface (4 reviews) **Cons:** - Complex Setup (2 reviews) - Learning Difficulty (2 reviews) - Slow Performance (2 reviews) - Error Reporting (1 reviews) - Integration Issues (1 reviews) ### 7. [Oracle Netsuite Analytics](https://www.g2.com/products/oracle-netsuite-analytics/reviews) Oracle NetSuite Analytics is a comprehensive, cloud-based business intelligence solution designed to provide real-time visibility into an organization's operational and financial performance. By consolidating data from NetSuite and various third-party sources, it enables businesses to generate actionable insights, streamline decision-making processes, and drive growth. The platform's embedded AI and machine learning capabilities facilitate the discovery of trends, anomalies, and forecasts, enhancing overall business intelligence. Key Features and Functionality: - Embedded AI Intelligence: Utilizes AI features such as Auto-Insights and prebuilt AI models to boost data visibility and uncover patterns in financial and operational data. - Data Consolidation: Centralizes data from NetSuite and other business systems, including CSV files, to provide a unified view of business performance. - Data Visualization and Storytelling: Offers over forty visualization options to convert data into meaningful insights, allowing users to identify trends and anomalies effectively. - Prebuilt Analytics Content: Provides a collection of analytics content, including example visualizations and data snapshots, to facilitate quick and efficient reporting. - Artificial Intelligence Capabilities: Features statistical analysis, auto-generated insights, predictive analytics, and customizable analytics to enhance decision-making processes. Primary Value and Solutions Provided: Oracle NetSuite Analytics addresses several critical business challenges: - Spreadsheet Dependency: By centralizing data in a cloud data warehouse, it reduces reliance on manual spreadsheets, minimizing errors and saving time. - Speed and Accuracy of Reporting: Automates data analysis with AI/ML capabilities, enabling rapid identification of data patterns and more informed decision-making. - High IT Costs: Offers a prebuilt, autonomous cloud data warehouse and AI analytics solution, reducing the costs associated with self-managed integrations and redundant BI tools. - Historical Data Access: Migrates historical, siloed data into the cloud data warehouse, providing an uninterrupted view of multi-year trends for comprehensive analysis. By leveraging Oracle NetSuite Analytics, organizations can enhance their data management practices, gain deeper insights into their operations, and make data-driven decisions that drive efficiency and growth. **Average Rating:** 4.3/5.0 **Total Reviews:** 36 **How Do G2 Users Rate Oracle Netsuite Analytics?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.2/10 (Category avg: 8.3/10) - **Reports Interface:** 8.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.4/10 (Category avg: 8.5/10) **Who Is the Company Behind Oracle Netsuite Analytics?** - **Seller:** [Oracle](https://www.g2.com/sellers/oracle) - **Year Founded:** 1977 - **HQ Location:** Austin, TX - **Twitter:** @Oracle (828,032 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1028/ (208,078 employees on LinkedIn®) - **Ownership:** NYSE:ORCL **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 56% Mid-Market, 25% Small-Business #### What Are Oracle Netsuite Analytics's Pros and Cons? **Pros:** - Ease of Use (1 reviews) **Cons:** - Limited Free Access (1 reviews) - Poor Management (1 reviews) ### 8. [Explo](https://www.g2.com/products/explo/reviews) Explo provides a powerful embedded dashboard and reporting solution. Securely share customizable product analytics, project reports, and KPIs with each of your customers all while seamlessly matching your product's design. Give your users the power to explore their data on their on by editing dashboards and building their own self serve data reports. **Average Rating:** 4.9/5.0 **Total Reviews:** 137 **How Do G2 Users Rate Explo?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.9/10) - **Steps to Answer:** 9.2/10 (Category avg: 8.3/10) - **Reports Interface:** 9.2/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.1/10 (Category avg: 8.5/10) **Who Is the Company Behind Explo?** - **Seller:** [Explo](https://www.g2.com/sellers/explo) - **Year Founded:** 2019 - **HQ Location:** San Francisco, CA - **Twitter:** @tryexplo (657 Twitter followers) - **LinkedIn® Page:** http://www.linkedin.com/company/explo-co (12 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Co-Founder - **Top Industries:** Computer Software, Financial Services - **Company Size:** 77% Small-Business, 22% Mid-Market #### What Are Explo's Pros and Cons? **Pros:** - Charting Features (3 reviews) - Dashboard Customization (3 reviews) - Ease of Use (3 reviews) - Easy Creation (3 reviews) - Customizability (2 reviews) **Cons:** - Complexity (1 reviews) - Complex Usage (1 reviews) - Initial Difficulty (1 reviews) - Layout Issues (1 reviews) - Learning Curve (1 reviews) ### 9. [Logi Symphony](https://www.g2.com/products/logi-symphony/reviews) Logi Symphony enables software teams to rapidly design, build, and embed interactive dashboards and data visualizations with fast connectivity and access to modern data infrastructure. Maintain complete control over the analytics experience while empowering end users to explore, analyze, and share data securely. Logi Symphony allows both medium and enterprise-level companies to bring new Analytics and Business Intelligence capabilities to their applications: -Connect to any data source -Align data with ETL, data performance, data quality, and data structure -Embed dashboards, pixel-perfect reporting, what-if analysis, and self-service directly into your applications -Create content with unparalleled visual and interactive flexibility -Empower your end users with Modern Data Discovery -Augment data with predictive, forecasting, clustering, and outlier analysis -Integrate with fully open APIs and white labeling -Integrate security with single sign-on (SSO) and federated authentication -Low / No code easy embedding (iframeless) -Full extensibility using multiple well-documented APIs -Deploy anywhere (Managed Cloud, On-Premises) -Single or multi-tenant setup The Logi Symphony platform provides the extensibility to meet evolving requirements and match your brand, the embeddability to deliver information in the context in which people work, and the self-service capabilities to address different users' roles and skills. We quickly boost your analytics adoption within your application! With Logi Symphony, you can embed analytics into the fabric of your organization and products - enabling anyone to analyze data, share insights, and make informed decisions. We empower companies to create analytic applications that are purpose-built to users' unique roles and skills, delivered in the context of where users already work and infused within existing workflows and security models. **Average Rating:** 4.3/5.0 **Total Reviews:** 398 **How Do G2 Users Rate Logi Symphony?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.9/10) - **Steps to Answer:** 7.9/10 (Category avg: 8.3/10) - **Reports Interface:** 8.2/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Logi Symphony?** - **Seller:** [insightsoftware](https://www.g2.com/sellers/insightsoftware-f6b45d26-bff9-4340-b3b7-a2076e7bb544) - **Year Founded:** 2018 - **HQ Location:** Raleigh, North Carolina - **Twitter:** @insightsoftware (801 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/outcomes-by-insightsoftware/ (2,266 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Product Manager, Business Intelligence Developer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 47% Mid-Market, 29% Small-Business #### What Are Logi Symphony's Pros and Cons? **Pros:** - Dashboard Customization (1 reviews) - Ease of Use (1 reviews) - Intuitive (1 reviews) - Performance (1 reviews) ### 10. [wynEnterprise](https://www.g2.com/products/wynenterprise/reviews) Discover the story behind your data with Wyn Enterprise. Wyn Enterprise is a seamless embedded business intelligence platform that provides BI reporting, interactive dashboards, scheduling, and distribution tools within any internal or commercial app. With easy-to-use designers, designed for self-service BI, Wyn offers limitless visual data exploration, allowing the everyday user to become data-driven while revealing trends and telling the story behind the data. Whether for your business or your commercial SaaS app, Wyn is an ideal solution for both. Embedded BI for your business provides a holistic view of your business and can lead to more insights, increased team collaboration, and overall business growth. Additionally, embedding Wyn in your SaaS app provides white-label reports and dashboards as part of your own app. Embed Wyn and empower your users with a seamless business intelligence solution. Features: • Seamlessly embedded Business Intelligence: Designed for embedded self-service BI, Wyn provides ad hoc reporting, interactive dashboards, scheduling, and distribution tools within any internal or commercial app. Our platform offers flexible deployment and integration. • Embedding BI with Wyn: Once installed, Wyn is 100% web-based. In your application, Wyn is embedded as a port to provide users the ability to easily create, design, share, export, and distribute dashboards and documents. Seamlessly embed Wyn via Rest API and DIV. Wyn also supports OEM installation and embedding. Additionally, you can integrate with development platforms such as Java, PHP, and .NET through GraphQL API. You can also embed inside customized .NET apps as well as JavaScript frameworks (Angular, React, Vue). • Self-service BI dashboard and reports: Eliminate your dependence on the IT departments and data analysts. Offer every end-user (from code-first to code-free) the ability to create custom ad hoc reports and interactive dashboards. Self-service BI allows users to run their own queries and create their own reports, even if they don’t have a background in statistical analysis, allowing them to turn data into valuable insights for better data driven decisions. • Data Monitoring: Create threshold based notifications and establish Wyn Alerts that are always on to monitor your data. Never miss an opportunity for improvement thanks to real-time monitoring and instant alerts. Integrate your push-notifications with the platform you use everyday - Slack, MS Teams, or email - ensuring that you never miss an alert. •Localization Support: With Custom Localization Support, you’re in control of your dashboard and report. Authors have the ability to localize titles and labels, text explanations, and data visualizations. There is more to localization than just translating words and sentences. Wyn’s custom localization also supports right to left (RTL) languages, regional language options, and number and date formats. •NEW! Natural Language Generation Text Scenario: Introducing InsightIQ, a revolutionary addition to our feature set that transforms the way you interact with your data. InsightIQ is a Natural Language Generation Text Scenario that takes data summarization and insights derivation to a whole new level. This powerful tool allows you to seamlessly distill the essence of your visuals into articulate and easy-to-understand natural language text, facilitating quick reviews and automatic insights extraction. • Built-in multi-tenant support: Wyn's multi-tenant capabilities provides a single centrally administered architecture to serve multiple customers (tenants). These tenants can be within an organization or different businesses, with all its data stored in the SaaS system. Data privacy and securing the data from other tenants are both critical in these deployment scenarios • Date governance and modeling: Wyn allows you to secure and model your raw data. With easy-to-use dashboard and report designers in the same web-based application, end-users can develop their own ad-hoc dashboards and reports based on the secured data. Wyn also allows allows admins to model business data in a structure familiar to users. • Extensible security: Wyn provides extensible security to match your access control needs. Filter and segregate your data and limit your tenant-specific data with the configurable role-based security and user-context definitions. User contexts provide row-level data security in a document or database-level security for a data source. User context acts as an additional layer of data security, extending the role-based security. • Specialized web portals: The software comes with three portals, the document portal; for business end-users, dashboard, and report authors, the admin portal; for admins that configure the server, manage account and security settings, and the resource portal; for data administrators or IT teams. • Pixel-perfect reports: For power users and business users, the report designer tools can help in developing pixel-perfect operational reports, as well as in creating invoices, letters, and account statements among many others. The software further allows you to use ad hoc reporting or the standard enterprise reports. • Efficient Report Sharing: The software also allows you to schedule automated delivery of reports to be sent to your team’s emails. File sharing in various document formats is also supported. Additionally, you can collaborate with your team on report and dashboard designs, and you can share the published versions with others in your enterprise. • Centralized storage; Apart from being a secured platform, Wyn Enterprise also provides centralized storage for all your reports, images, datasets, and configuration settings. Other server resources, such as dashboards, themes, models, users, and roles, are also stored in the same place. The software also allows you to compile data from relational databases, local Excel or CSV files, web sources, and NoSQL data sources. Say Goodbye to User Fees You need a scalable BI platform. You also need to know how much it will cost in the long run. Wyn's scalable licensing model allows room for your business to grow without growth in licensing fees. • No per-user fees • No limits on data size 20+ Years in the Industry Unleash the full potential of embedded ad hoc reporting, driven by the same ActiveReports engine that has led the industry for 20+ years. **Average Rating:** 4.7/5.0 **Total Reviews:** 38 **How Do G2 Users Rate wynEnterprise?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 8.9/10) - **Steps to Answer:** 9.1/10 (Category avg: 8.3/10) - **Reports Interface:** 9.2/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.7/10 (Category avg: 8.5/10) **Who Is the Company Behind wynEnterprise?** - **Seller:** [wynEnterprise LLC](https://www.g2.com/sellers/wynenterprise-llc) - **Company Website:** https://www.wynenterprise.com - **Year Founded:** 2018 - **HQ Location:** 7400 Beaufont Springs Dr., St 300, Richmond VA 23225 - **LinkedIn® Page:** https://www.linkedin.com/company/wynenterprise/ (28 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 53% Small-Business, 37% Mid-Market #### What Are wynEnterprise's Pros and Cons? **Pros:** - Customer Support (10 reviews) - Ease of Use (10 reviews) - Flexibility (8 reviews) - Reporting (7 reviews) - Customization (6 reviews) **Cons:** - Poor Documentation (5 reviews) - Complexity (2 reviews) - Lack of Detail (2 reviews) - Missing Features (2 reviews) - Update Issues (2 reviews) ### 11. [Zap Data Hub](https://www.g2.com/products/zap-data-hub/reviews) Zap Data Hub is a data warehouse automation solution that streamlines the extraction, loading and transformation (ELT) of ERP and business data into a centralized, governed warehouse for reporting and analytics. Zap Data Hub is used by finance, operations and IT teams who need a faster, more structured way to integrate ERP data from platforms such as Microsoft Dynamics 365, SAP Business One, Sage and SYSPRO alongside other business sources like CRM, payroll and inventory systems. It automates the heavy lifting involved in data integration and preparation, allowing businesses to build a trusted data foundation without extensive coding or manual processes. By automatically mapping, transforming and loading data into a warehouse, Zap eliminates reliance on spreadsheets, manual extracts and disconnected reporting. It creates a governed semantic model that ensures consistent metrics across tools like the Power BI integration, Excel add-in and browser-based reporting. Zap can be deployed in the cloud or on-premises, with support for Microsoft Fabric. Key features and value points • End-to-end data warehouse automation that structures and governs data from ERP and other business systems • Pre-built ERP connectors and models that accelerate deployment and reduce implementation effort • Governed semantic model that ensures consistent, trusted reporting across business units and analytics tools • Reporting support through the Excel add-in, Power BI integration and browser-based options • Deployment flexibility offering cloud-based or on-premises options • Future-ready architecture that integrates with Microsoft Fabric and supports evolving analytics needs Zap Data Hub is suited to organizations that want to automate their reporting data foundations, improve governance and drive business insights without the complexity of manual data engineering. **Average Rating:** 4.3/5.0 **Total Reviews:** 44 **How Do G2 Users Rate Zap Data Hub?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10) - **Steps to Answer:** 7.6/10 (Category avg: 8.3/10) - **Reports Interface:** 8.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Zap Data Hub?** - **Seller:** [ZAP](https://www.g2.com/sellers/zap) - **Year Founded:** 2001 - **HQ Location:** Brisbane, Australia - **Twitter:** @ZAP_Data (1,552 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/61528/ (94 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Oil & Energy, Computer Software - **Company Size:** 61% Mid-Market, 28% Enterprise #### What Are Zap Data Hub's Pros and Cons? **Pros:** - Ease of Use (9 reviews) - Integrations (8 reviews) - Customer Support (6 reviews) - Reporting (6 reviews) - Analytics (5 reviews) **Cons:** - Learning Curve (3 reviews) - Complexity (2 reviews) - Import Issues (2 reviews) - Limitations (2 reviews) - Steep Learning Curve (2 reviews) ### 12. [Mode](https://www.g2.com/products/mode-mode/reviews) Mode is the first BI platform to embrace the way modern data teams work, which enables data leaders to drive more efficient, higher impact analysis and increased data maturity through true self-service. As the unified intelligence layer, Mode maximizes modern data stack ROI and turns data into a competitive advantage for leading businesses across all sectors and stages. **Average Rating:** 4.5/5.0 **Total Reviews:** 319 **How Do G2 Users Rate Mode?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.1/10 (Category avg: 8.3/10) - **Reports Interface:** 8.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Mode?** - **Seller:** [Mode Analytics, Inc.](https://www.g2.com/sellers/mode-analytics-inc) - **Year Founded:** 2013 - **HQ Location:** San Francisco, California - **Twitter:** @ModeAnalytics (6,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3307518/ (668 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Scientist, Data Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 47% Mid-Market, 29% Enterprise #### What Are Mode's Pros and Cons? **Pros:** - Capabilities (1 reviews) - Customization (1 reviews) - Ease of Implementation (1 reviews) - Ease of Use (1 reviews) - Efficiency (1 reviews) **Cons:** - Complex Setup (1 reviews) - Complex Usage (1 reviews) - Data Integration (1 reviews) - Difficult Learning (1 reviews) - Initial Difficulty (1 reviews) ### 13. [Embeddable](https://www.g2.com/products/embeddable/reviews) A developer toolkit for building beautiful, interactive customer-facing dashboards — native, fast, fully white-labelled, with unlimited usage and fixed monthly pricing. Get a quick demo today. Embeddable's built from the ground up for product engineering teams to deliver remarkable charts and dashboards in their customer-facing software applications. With it, you can embed in minutes, load in milliseconds and extend infinitely. ⭐️ Why teams choose Embeddable: • Feels 100% native in your UI/UX • Blazingly-fast performance • Build and iterate in hours, not sprints • Developers genuinely love building with it ⭐️ How it works: • Save sprints of engineering time by building, managing and updating your customer-facing charts and dashboards in a no-code platform. • Easily ship more value to customers with built in features like localisation, exporting options, and enabling your customers to build custom dashboard views. • Take complete control of your frontend UX and UI in code, by extending and theming charts in code — you can even import your own charts from any React charting library. • Load dashboards at speed and at scale with a lightning-fast data service and multiple layers of configurable cache. Charts are rendered via a lightweight, secure and performant web component or native React/Vue embed (no iframes!). • Keep your developers happy with intuitive SDKs and APIs, CI/CD, version control, and secure deployments (to QA, staging and production). • Connect with any stack- connects to all major databases, works with multi-tenant or single-tenant apps, embeds in any frontend. Unlike BI platforms designed for internal reporting, Embeddable helps product and engineering teams ship dashboards that look and feel like part of their product — fast, customizable, and enterprise-ready. ⭐️ Who is Embeddable for? • Product and engineering teams building charts and dashboards into SaaS applications. • Teams looking to reduce development costs and complexity of managing a custom in-house build. • Teams looking to get faster loading speeds and more control of their UX/UI than their legacy embedded analytics tool affords them. • We work with companies of all sizes, from startups to enterprises (check our website!) • SaaS applications with either single tenant or multi-tenant database architectures. With Embeddable, teams deliver production-ready dashboards in 10% of the time, reduce ongoing maintenance, and create customer experiences that drive adoption, retention, and revenue. Want to run a proof of concept? Head over to our website 👇 **Average Rating:** 4.7/5.0 **Total Reviews:** 16 **How Do G2 Users Rate Embeddable?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.3/10 (Category avg: 8.3/10) - **Reports Interface:** 8.9/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.9/10 (Category avg: 8.5/10) **Who Is the Company Behind Embeddable?** - **Seller:** [Embeddable](https://www.g2.com/sellers/embeddable) - **Company Website:** https://embeddable.com/ - **Year Founded:** 2023 - **HQ Location:** London, UK - **LinkedIn® Page:** https://www.linkedin.com/company/embeddable-hq/ (27 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 63% Small-Business, 38% Mid-Market #### What Are Embeddable's Pros and Cons? **Pros:** - Ease of Use (7 reviews) - Features (7 reviews) - Customization (6 reviews) - Dashboard Design (6 reviews) - Embedding Features (6 reviews) **Cons:** - Complexity (3 reviews) - Learning Curve (3 reviews) - Complex Usage (2 reviews) - Expertise Required (2 reviews) - Initial Difficulty (2 reviews) ### 14. [Epsilon3](https://www.g2.com/products/epsilon3/reviews) Epsilon3 is the first AI-powered procedure and resource management tool designed for teams that engineer, build, test, and operate advanced products and systems. ✔ Standardize & Optimize Processes Our interoperable procedure execution system replaces inefficient checklists managed with paper, spreadsheets, docs, and outdated planning tools. Automatically track every step to ensure quality, consistency, and traceability. ✔ Fuel Rapid Iteration & Innovation Built-in version control, conditional workflows, and real-time data synchronization keep stakeholders on the same page. Enable continuous improvement and quick, data-driven decisions to stay far ahead of the competition. ✔ Streamline & Scale Operations Securely integrate siloed systems and automate repetitive, error-prone tasks to boost productivity and prevent delays. Simplify training, reduce costs, and maintain efficiency as your operations expand to meet demand. Epsilon3 is trusted by industry leaders like NASA, Blue Origin, Firefly Aerospace, Sierra Space, Redwire, Shift4, AeroVironment, Commonwealth Fusion Systems, and other commercial and government organizations. The company and platform were built by engineering leaders from SpaceX, NASA, and Google. Learn how: https://www.epsilon3.io/ **Average Rating:** 4.2/5.0 **Total Reviews:** 259 **How Do G2 Users Rate Epsilon3?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.9/10) - **Steps to Answer:** 7.4/10 (Category avg: 8.3/10) - **Reports Interface:** 7.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 7.5/10 (Category avg: 8.5/10) **Who Is the Company Behind Epsilon3?** - **Seller:** [Epsilon3](https://www.g2.com/sellers/epsilon3) - **Company Website:** https://epsilon3.io - **Year Founded:** 2021 - **HQ Location:** Los Angeles, California - **Twitter:** @Epsilon3Inc (1,069 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/epsilon3inc (33 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Customer Service Representative - **Top Industries:** Aviation & Aerospace, Financial Services - **Company Size:** 43% Mid-Market, 40% Enterprise #### What Are Epsilon3's Pros and Cons? **Pros:** - Ease of Use (80 reviews) - Procedure Management (42 reviews) - Features (30 reviews) - Efficiency (27 reviews) - Efficiency Improvement (24 reviews) **Cons:** - Learning Curve (35 reviews) - Complexity (33 reviews) - Confusing Procedures (29 reviews) - Complex Procedures (27 reviews) - Confusion (24 reviews) ### 15. [InetSoft Style Intelligence](https://www.g2.com/products/inetsoft-style-intelligence/reviews) Style Intelligence is a data intelligence platform for interactive dashboards, analytics, and reporting. At its foundation is a powerful data mashup engine that enables fast and flexible transformation of data from disparate sources which solves data management challenges other business intelligence tools cannot. Designed for rapid deployment, the application maximizes self-service for a range of users from casual business or consumer-type browsers to power users and data scientists. **Average Rating:** 4.5/5.0 **Total Reviews:** 22 **How Do G2 Users Rate InetSoft Style Intelligence?** - **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.1/10 (Category avg: 8.3/10) - **Reports Interface:** 8.1/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.6/10 (Category avg: 8.5/10) **Who Is the Company Behind InetSoft Style Intelligence?** - **Seller:** [InetSoft Technology](https://www.g2.com/sellers/inetsoft-technology) - **Year Founded:** 1996 - **HQ Location:** Piscataway, NJ - **LinkedIn® Page:** https://www.linkedin.com/company/91536/ (61 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 42% Small-Business, 33% Enterprise ### 16. [Grow.com](https://www.g2.com/products/grow-com/reviews) Grow is a no-code full-stack business intelligence (BI) platform that empowers everyone in your organization to make data-driven decisions. By combining ETL, data warehousing and visualization in one easy-to-use platform, any organization can connect and explore its data to surface insights. Our unlimited-user license model gives everyone access to the answers they need without waiting in line for an analyst. Now everyone can make great decisions in real-time to accelerate their growth. **Average Rating:** 4.3/5.0 **Total Reviews:** 272 **How Do G2 Users Rate Grow.com?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10) - **Steps to Answer:** 7.8/10 (Category avg: 8.3/10) - **Reports Interface:** 8.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Grow.com?** - **Seller:** [Epicor](https://www.g2.com/sellers/epicor) - **Company Website:** https://www.epicor.com - **Year Founded:** 1972 - **HQ Location:** Austin, TX - **Twitter:** @Epicor (9,296 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/4617/ (6,204 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Account Manager - **Top Industries:** Marketing and Advertising, Computer Software - **Company Size:** 64% Small-Business, 33% Mid-Market #### What Are Grow.com's Pros and Cons? **Pros:** - Ease of Use (28 reviews) - Data Visualization (15 reviews) - Easy Integrations (15 reviews) - User Interface (15 reviews) - Integrations (13 reviews) **Cons:** - Expensive (8 reviews) - Missing Features (8 reviews) - Slow Loading (8 reviews) - Slow Performance (8 reviews) - Performance Issues (7 reviews) ### 17. [Qrvey](https://www.g2.com/products/qrvey/reviews) Qrvey is an embedded analytics solution specializing in multi-tenant analytics for SaaS applications. Qrvey’s goal for product teams is to empower you to build less software and deliver more value. Qrvey is the only embedded analytics solution that includes an analytics layer to connect your data warehouse to your front-end analytics. Qrvey’s approach is different. By including a native data lake, you can scale personalized analytics that your customers will love. All while giving your development team the tools to ship faster and build less. **Average Rating:** 4.4/5.0 **Total Reviews:** 28 **How Do G2 Users Rate Qrvey?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.2/10 (Category avg: 8.3/10) - **Reports Interface:** 7.9/10 (Category avg: 8.7/10) - **Calculated Fields:** 7.7/10 (Category avg: 8.5/10) **Who Is the Company Behind Qrvey?** - **Seller:** [Qrvey](https://www.g2.com/sellers/qrvey) - **Year Founded:** 2016 - **HQ Location:** Tysons, Virginia - **Twitter:** @qrvey (463 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/qrvey/ (68 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 55% Small-Business, 38% Mid-Market #### What Are Qrvey's Pros and Cons? **Pros:** - Ease of Use (6 reviews) - Analytics (5 reviews) - Automation (4 reviews) - Efficiency (4 reviews) - User Interface (4 reviews) **Cons:** - Learning Curve (5 reviews) - Complex Usage (2 reviews) - Confusing Pricing (2 reviews) - Customization Difficulty (2 reviews) - Expensive (2 reviews) ### 18. [panintelligence](https://www.g2.com/products/panintelligence/reviews) Expand ARR and accelerate your product roadmap with secure, Generative Business Intelligence (GenBI). At Panintelligence, we bring over 10 years of expertise in helping 400+ global customers unlock deeper insights, reduce technical debt, and drive data-driven growth. Our platform seamlessly integrates with your existing data infrastructure, providing your users with an intuitive, immersive experience. Low Code for Developers: We minimize development effort, allowing your team to focus on innovation and accelerate your roadmap. No Code for Users: We empower users to explore data independently, leveraging Generative BI to surface insights without technical expertise. By embedding Panintelligence, you enable self-service analytics while future-proofing your platform. Our partnership-driven approach ensures your business stays ahead with secure, scalable, and cutting-edge GenBI. Unlock the full potential of your data with Panintelligence – the Generative BI leader for organizations worldwide. **Average Rating:** 4.4/5.0 **Total Reviews:** 50 **How Do G2 Users Rate panintelligence?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.6/10 (Category avg: 8.3/10) - **Reports Interface:** 8.2/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.8/10 (Category avg: 8.5/10) **Who Is the Company Behind panintelligence?** - **Seller:** [Panintelligence](https://www.g2.com/sellers/panintelligence) - **Company Website:** https://www.panintelligence.com/ - **Year Founded:** 2014 - **HQ Location:** Leeds - **Twitter:** @panintelligence (2,057 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/panintelligence/ (34 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 42% Mid-Market, 39% Small-Business #### What Are panintelligence's Pros and Cons? **Pros:** - Customer Support (7 reviews) - Ease of Use (4 reviews) - Charting Features (3 reviews) - Dashboard Customization (3 reviews) - Flexibility (3 reviews) **Cons:** - Limited Chart Functionality (3 reviews) - Limited Customization (3 reviews) - Initial Difficulty (2 reviews) - Learning Curve (2 reviews) - Learning Difficulty (2 reviews) ### 19. [Pentaho](https://www.g2.com/products/pentaho/reviews) Pentaho is a modular, enterprise-grade platform that makes it easy to manage complex data—on-premises, in the cloud, or in hybrid environments. Whether structured or unstructured, your data becomes a trusted asset that teams can use to operate with confidence, agility, and control. **Average Rating:** 4.1/5.0 **Total Reviews:** 48 **How Do G2 Users Rate Pentaho?** - **Has the product been a good partner in doing business?:** 6.9/10 (Category avg: 8.9/10) - **Steps to Answer:** 7.9/10 (Category avg: 8.3/10) - **Reports Interface:** 7.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 7.6/10 (Category avg: 8.5/10) **Who Is the Company Behind Pentaho?** - **Seller:** [Pentaho](https://www.g2.com/sellers/pentaho-d1c9c8d5-c72c-42b5-967d-4a0985833684) - **Year Founded:** 2004 - **HQ Location:** Santa Clara, CA - **LinkedIn® Page:** https://www.linkedin.com/company/pentaho/ (141 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Internet - **Company Size:** 48% Mid-Market, 30% Enterprise ### 20. [Flexmonster Pivot Table & Charts Component](https://www.g2.com/products/flexmonster-pivot-table-charts-component/reviews) The Flexmonster Pivot Table & Charts Component allows users to create pivot tables and pivot charts to visualize large datasets. - Easy to integrate: can be natively used with JavaScript or TypeScript and perfectly integrates with client-side frameworks such as Angular, React, Vue.js, Blazor, Svelte, and others, as well as with the server side like ASP.NET, Java JSP, and others. - Supports the most common data sources: Microsoft Analysis Services, OLAP cubes, Mondrian, JSON, SQL (MS SQL, MySQL, and others) databases, MongoDB, Elasticsearch and static CSV, JSON files. - Allows you to work extremely fast with really large data volumes (huge OLAP cubes, data sets from SQL DBs, more than 1 GB). - No limit on the server-side technology, whether your website runs on .NET, Java, PHP, Ruby, etc. - Fully customizable with an extensive JavaScript API. Pivot grid component provides Excel-like features that give users the interface they have always been used to. The users can easily and quickly analyze data and produce reports using different options. **Average Rating:** 4.4/5.0 **Total Reviews:** 13 **How Do G2 Users Rate Flexmonster Pivot Table & Charts Component?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.2/10 (Category avg: 8.3/10) - **Reports Interface:** 9.6/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.8/10 (Category avg: 8.5/10) **Who Is the Company Behind Flexmonster Pivot Table & Charts Component?** - **Seller:** [Flexmonster](https://www.g2.com/sellers/flexmonster-29183bef-d806-44f1-ba02-4677d2440ac4) - **Year Founded:** 2008 - **HQ Location:** Rancho Santa Fe, CA - **Twitter:** @flexmonster (1,120 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/flexmonster/ (24 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 43% Small-Business, 29% Enterprise #### What Are Flexmonster Pivot Table & Charts Component's Pros and Cons? **Pros:** - Ease of Use (3 reviews) - Intuitive (2 reviews) - Affordable (1 reviews) - Business Growth (1 reviews) - Customer Support (1 reviews) **Cons:** - Learning Curve (1 reviews) - Steep Learning Curve (1 reviews) ### 21. [Bokeh](https://www.g2.com/products/bokeh/reviews) Bokeh is a Python based interactive visualization library. **Average Rating:** 4.4/5.0 **Total Reviews:** 38 **How Do G2 Users Rate Bokeh?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.9/10) - **Steps to Answer:** 7.4/10 (Category avg: 8.3/10) - **Reports Interface:** 8.6/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Bokeh?** - **Seller:** [Continuum Analytics](https://www.g2.com/sellers/continuum-analytics) - **Year Founded:** 2012 - **HQ Location:** Austin, Texas - **Twitter:** @anacondainc (83,663 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/continuum-analytics-inc-/ (17 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 55% Small-Business, 28% Enterprise ### 22. [Keen.io](https://www.g2.com/products/keen-io/reviews) Keen.io is the complete event data management solution. Our platform can handle all aspects of your event data management, from collection to application. Stream, store, query, and present your data all in one place and get a competitive advantage over the competition. Keen allows you to get a true view of your product usage and interaction through event-based data. We make it easy to dive into the product data you need, allowing you to identify and solve product issues, enhance user experiences, and ship product rollouts faster. **Average Rating:** 4.4/5.0 **Total Reviews:** 12 **How Do G2 Users Rate Keen.io?** - **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 8.9/10) - **Steps to Answer:** 6.9/10 (Category avg: 8.3/10) - **Reports Interface:** 7.4/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Keen.io?** - **Seller:** [Keen IO](https://www.g2.com/sellers/keen-io) - **Year Founded:** 2011 - **HQ Location:** San Antonio, Texas - **Twitter:** @keen_io (23,430 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2612487/ (18 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 75% Small-Business, 25% Mid-Market ### 23. [Vizzly](https://www.g2.com/products/vizzly/reviews) Vizzly provides a low-code solution for building customer-facing dashboards, offering the same level of flexibility as an in-house development process with minimal technical overhead required. With Vizzly, you have the capability to connect to any SQL database or API and seamlessly embed the dashboard as a React or Vue component. Since the product is highly extensible through code, you will have complete control over the product and the user experience you create. **Average Rating:** 5.0/5.0 **Total Reviews:** 13 **How Do G2 Users Rate Vizzly?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) - **Steps to Answer:** 10.0/10 (Category avg: 8.3/10) - **Reports Interface:** 9.8/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Vizzly?** - **Seller:** [Vizzly](https://www.g2.com/sellers/vizzly) - **Year Founded:** 2022 - **HQ Location:** London, GB - **Twitter:** @TryVizzly (26 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/vizzlyco/ **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 92% Small-Business, 8% Mid-Market ### 24. [Whaly](https://www.g2.com/products/whaly-whaly/reviews) We believe that analytics should benefit everyone. Whaly is an integrated, self-service business intelligence platform that enables data teams and business teams to work better together. Business teams are empowered to access, analyze, and share data from the tools they already use every day - HubSpot, Salesforce, Google Analytics, and more - with no technical expertise required. This means no more waiting on data teams for answers to every question. In parallel, data teams get some time back to focus on fewer menial tasks. With Whaly, you can connect, model, visualize and share your data - all from one place. Our mission is to boost adoption and foster company-wide trust in data, so that your company can make better, more informed decisions. Time to make your data work harder for you - not the other way around. **Average Rating:** 4.8/5.0 **Total Reviews:** 25 **How Do G2 Users Rate Whaly?** - **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 8.9/10) - **Steps to Answer:** 10.0/10 (Category avg: 8.3/10) - **Reports Interface:** 9.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Whaly?** - **Seller:** [Whaly](https://www.g2.com/sellers/whaly) - **Year Founded:** 2020 - **HQ Location:** Paris, FR - **Twitter:** @WhalyHQ (56 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/whalyhq/ (13 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 44% Mid-Market, 40% Small-Business ### 25. [Image Charts](https://www.g2.com/products/image-charts/reviews) Image Charts is a tool where you can create and automate on-brand charts for use in emails, reports, PDFs and more. You can use Zapier or Make, or use our custom API to integrate with the top frameworks and languages. Used by Dropbox, Spotify, Sony, and Microsoft. **Average Rating:** 4.3/5.0 **Total Reviews:** 10 **How Do G2 Users Rate Image Charts?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **Calculated Fields:** 8.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Image Charts?** - **Seller:** [Image Charts](https://www.g2.com/sellers/image-charts) - **Year Founded:** 2016 - **HQ Location:** Bretagne, France - **Twitter:** @imagecharts (149 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/image-charts/about/ (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 40% Small-Business, 40% Enterprise ## What Is Embedded Business Intelligence Software? [Business Intelligence Software](https://www.g2.com/categories/business-intelligence) ## What Software Categories Are Similar to Embedded Business Intelligence Software? - [Data Visualization Tools](https://www.g2.com/categories/data-visualization-tools) - [Predictive Analytics Software](https://www.g2.com/categories/predictive-analytics) - [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) --- ## How Do You Choose the Right Embedded Business Intelligence Software? ### What You Should Know About Embedded Business Intelligence Software ### What is Embedded Business Intelligence Software? Embedded business intelligence (BI) software, also known as embedded analysis software, gives users self-service analytics capabilities within business applications. Software developers use embedded business intelligence tools to build analytics into business applications, giving users access to analytics without relying on third party BI consultants or customer support. The software in this category makes it easy to house analytics inside a specific application. Additionally, some embedded business intelligence platforms provide businesses with embedded dashboards; this allows employees easy access to relevant analysis. While these tools may be sold to enterprise companies for internal systems such as [HR](https://www.g2.com/categories/hr) or [ERP systems](https://www.g2.com/categories/erp-systems), they are usually sold to other software companies who integrate them in existing software to give the software embedded business intelligence capabilities. Key Benefits of Embedded Business Intelligence Software - Empower users to access data during daily workflow without exiting their current application - Allow users to [transform data](https://www.g2.com/categories/embedded-business-intelligence/f/data-transformation) into a useful and relatable model embedded within a business application - [Create reports](https://www.g2.com/categories/embedded-business-intelligence/f/reports-interface), dashboards, and visualizations ### Why Use Embedded Business Intelligence Software? Business applications produce vast amounts of data which can be very useful for end users. Traditionally, business users that wanted to extract and analyze data would use business intelligence platforms; they would need to extract the data from the application and upload it to the platform. Embedded business intelligence is an alternative approach where users can access analytics from within the user interface of the given application. Embedded business intelligence provide users with interactive visual dashboards and reporting functionality within the actual business application. - Engaged users — Incorporating embedded business intelligence into applications results in higher productivity for end users, since they can access data and analytics within the application they are using. - Improved efficiency — Companies are seeing a decline in ad hoc analytics requests when embedded business intelligence is deployed. - Better applications — Users spend more time using applications when they are enhanced with embedded business intelligence, this leads to enhanced productivity and better deployment of the applications. ### Who Uses Embedded Business Intelligence Software? Analytics is no longer out of reach for the everyday employee. Thanks to self-service analytics and embedded business intelligence, data analysis is open to many, and insights can be drawn from data by anyone with basic software capabilities. However, there are still specific positions that utilize this software more than others. - Software developers — Developers that want to create the next generation of products and services can use embedded business intelligence to build analytics capabilities into their applications, including custom reports and dashboards. - Business users — Analytics can be at the business user’s fingertips, allowing them to understand the data. The user-friendly designs of this software are especially helpful for users at smaller companies where this type of analysis is a small facet of a user’s job. - Business analysts — These tools give business analysts the ability to create custom dashboards and reports that serve a variety of stakeholders. These platforms empower analysts to stay up to date on their rapidly changing markets. - Data engineers — With embedded business intelligence, data engineers can focus on pulling data from disparate sources, furthering their ability to build analytics apps, widgets, and dashboards for business users. ### Kinds of Embedded Business Intelligence Software There are two areas where embedded business intelligence software are typically used, externally and internally. In both cases, analytics capabilities are built into business applications, the only difference is the end user. - External embedding — Embeds analytics into customer-facing applications to make them more useful, allowing users to understand the data they are viewing or creating. An example of external embedding would be a mobile app development company that builds a portal for clients to access analytics related to their mobile applications. - Internal embedding — Integrates reports and dashboards into tools a business’s employees use, allowing them to garner insights into their data from a wide range of sources and formats. An example of internal embedding would be a company’s IT department that develops and manages applications used by internal stakeholders and partners to understand internal company data, such as sales and marketing metrics. ### Embedded Business Intelligence Software Features Embedded business intelligence software tend to have a wide range of features, including visualization and reporting and data modeling. The following features are found in most embedded business intelligence software. - Integratable — When embedded business intelligence capabilities are integrated in a business application, users can access dashboards, visualizations, and reports. - White labeling — Embedded business intelligence software give developers the ability to white label and seamlessly integrate analytics to match the look and feel of of any given application. - Visualizations and reporting — Users can create reports and other user-friendly visualizations to better illustrate data and gain a competitive advantage. - [Data modeling](https://www.g2.com/categories/embedded-business-intelligence/f/data-modeling) — Support self-service data modeling, blending, and [discovery processes](https://www.g2.com/categories/embedded-business-intelligence/f/data-discovery). These advanced analytics capabilities allows the user to get a high-level view of the data and understand it well. Other features of embedded business intelligence software: [Automodeling](https://www.g2.com/categories/embedded-business-intelligence/f/automodeling), [Collaboration & Workflow](https://www.g2.com/categories/embedded-business-intelligence/f/collaboration-workflow), and [Search Capabilities](https://www.g2.com/categories/embedded-business-intelligence/f/search). ### Trends Related to Embedded Business Intelligence Software Data and data analytics are no confined to IT departments and data experts. The rise in self-service analytics platforms coupled with artificial intelligence (AI) has led to an advance in embedded business intelligence. Features of these products allow users to query data using [natural language processing (NLP) software](https://www.g2.com/categories/natural-language-processing-nlp) and platforms that allow users to dig into their data using AI and [machine learning software](https://www.g2.com/categories/machine-learning). Conversational interface — Users can uncover deeper answers to questions about data using intuitive language such as “how were sales this week" or “who was the highest-performing employee this month." Intuitive methods of querying data means a larger user base that can access and make sense of complex analytics. AI-powered insights — End users can discover hidden insights with the power of machine learning. This technology can make sense of data for users and help them understand what they are seeing. ### Potential Issues with Embedded Business Intelligence Software Where the product lives — There are a few considerations to make when buying embedded business intelligence software. It may require lots of work by a skilled development team or vendor support staff to embed the business intelligence tool, especially if the data is particularly messy. Some data might not be compatible with different products. Additionally, embedded software still offers self-service qualities that vary in levels of difficulty. Plan for adoption — At the start, analytics tools may not seem valuable to all employees; end users might struggle to adopt the solutions. Therefore, it’s important for companies to have a plan to encourage and promote user adoption. Time to market — As with any software implementation, it’s important to think about how long it will take to implement. It’s important to consider related software that a company might need, such as [data integration software](https://www.g2.com/categories/data-integration). Data security — Don’t make data security an afterthought. Companies must consider security options to ensure the correct users see the correct data. It must also have security options that allow administrators to assign verified users different levels of access to the platform. ### Software and Services Related to Embedded Business Intelligence Software The following solutions can be used in conjunction with the products in this category to make the most comprehensive reports possible. [Application development software](https://www.g2.com/categories/application-development) — Embedded business intelligence tools differ from development tools in terms of how easy they integrate within different applications. Developers typically use some sort of [application development software](https://www.g2.com/categories/application-development), such as [mobile development software](https://www.g2.com/categories/mobile-development) or [rapid application development (RAD) software](https://www.g2.com/categories/rapid-application-development-rad), to leverage templated infrastructure. [Business intelligence platforms](https://www.g2.com/categories/business-intelligence) — Embedded business intelligence is not always the right solution for a business problem. Sometimes, it makes more sense to start by using a stand-alone analytics platform. Many of these platforms are self-service, which means they are user-friendly and helps anyone who wants to better understand data. [Database software](https://www.g2.com/categories/database-software) — There are a plethora of solutions for storing, organizing, and sharing large amounts of data to later be accessed and analyzed by analytics tools. Products in this parent category include everything from [big data software](https://www.g2.com/categories/big-data) to traditional table-based [relational databases software](https://www.g2.com/categories/relational-databases). Each business has a unique set of metrics tied to their operation, products, and clientele. Businesses should research and implement database solutions to find the one that makes the most sense for their data types and analytical needs. When considering an embedded business intelligence solution, users should investigate which databases can integrate with their tool and make the most logical product choice for their particular situation. These analytics products don’t serve much purpose without the ability to pull data from an existing company database. [Sales analytics software](https://www.g2.com/categories/sales-analytics) — When seeking to refine and optimize sales efforts, companies might require more focused insights than those offered with standard embedded business intelligence technology. Sales analytics software identifies strengths, weaknesses, and other detailed analysis of sales departments and individual salespeople. Improving sales processes helps bolster a business from all angles while contributing to a business intelligence strategy.Some companies might consider [marketing analytics software](https://www.g2.com/categories/marketing-analytics) for a big picture perspective of overall marketing efforts. _Researched and written by _[_Matthew Miller_](https://research.g2.com/insights/author/matthew-miller)