# Best Embedded Business Intelligence Software - Page 6 *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 (3,652 reviews) | Multi-source dashboard embedding inside Salesforce workflows | "[Intuitive, Powerful Dashboards Made Easy with Tableau](https://www.g2.com/survey_responses/tableau-review-12975131)" | | 2 | [Amazon QuickSight](https://www.g2.com/products/amazon-quicksight/reviews) | 4.3/5.0 (675 reviews) | Pay-per-session embedded analytics on AWS pipelines | "[Fast, Serverless BI with Seamless AWS Integration](https://www.g2.com/survey_responses/amazon-quicksight-review-11692248)" | | 3 | [GoodData.AI](https://www.g2.com/products/gooddata-ai/reviews) | 4.3/5.0 (599 reviews) | White-labeled multi-tenant embedded analytics delivery | "[Embedded Dashboards and Consistent Metrics That Cut Support Tickets](https://www.g2.com/survey_responses/gooddata-ai-review-13032302)" | | 4 | [IBM Cognos Analytics](https://www.g2.com/products/ibm-cognos-analytics/reviews) | 4.1/5.0 (438 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)" | | 5 | [Hex](https://www.g2.com/products/hex-tech-hex/reviews) | 4.5/5.0 (401 reviews) | Code-first notebooks with publishable self-serve apps | "[Amazing AI and SQL Autocomplete That Speeds Up My Work](https://www.g2.com/survey_responses/hex-review-12687305)" | | 6 | [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) | 4.4/5.0 (544 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)" | | 7 | [Jaspersoft](https://www.g2.com/products/jaspersoft/reviews) | 4.1/5.0 (207 reviews) | Pixel-perfect embedded reporting with scheduled delivery | "[Flexible Reporting with Export Limitations](https://www.g2.com/survey_responses/jaspersoft-review-11428195)" | | 8 | [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)" | | 9 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (1,015 reviews) | Multi-source data embedding with no-code ETL | "[Effortless Live Dashboards and Data Blending with Domo](https://www.g2.com/survey_responses/domo-review-13093007)" | | 10 | [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)" | ## G2 Grid® for Embedded Business Intelligence Software ![G2 Grid® for Embedded Business Intelligence Software plotting products by satisfaction and market presence](https://www.g2.com/categories/embedded-business-intelligence/grids.png?focus%5B%5D=1213&focus%5B%5D=20158&focus%5B%5D=610&focus%5B%5D=612&focus%5B%5D=162504&focus%5B%5D=104521&focus%5B%5D=998&focus%5B%5D=604) Highlighted products: Tableau, Amazon QuickSight, GoodData.AI, IBM Cognos Analytics, Hex, Sigma, Jaspersoft, and Domo. Underlying data: [Grid® JSON](https://www.g2.com/categories/embedded-business-intelligence/grids.json?focus%5B%5D=tableau&focus%5B%5D=amazon-quicksight&focus%5B%5D=gooddata-ai&focus%5B%5D=ibm-cognos-analytics&focus%5B%5D=hex-tech-hex&focus%5B%5D=sigma-computing-sigma&focus%5B%5D=jaspersoft&focus%5B%5D=domo) ## How Many Embedded Business Intelligence Software Products Does G2 Track? **Total Products under this Category:** 149 ### Category Stats (Jul 2026) - **Average Rating**: 4.43/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: Flexmonster Pivot Table & Charts Component (+1.74%) - Among all products in this category, Flexmonster Pivot Table & Charts Component recorded the largest rating increase compared to last month *Last updated: July 14, 2026* ## How Does G2 Rank Embedded Business Intelligence Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 18,100+ Authentic Reviews - 149+ 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** ### Jaspersoft Jaspersoft is a reporting and embedded analytics solution that enables flexibility, increases productivity, and gives your business the power to seamlessly integrate data into your applications exactly how you want. Their robust reporting engine allows users to create "pixel-perfect" reports in multiple formats (PDF, Excel, HTML) for scalable distribution. It also can empower business users with ad-hoc reporting capabilities, enabling custom reports and visualizations without extensive technical knowledge. Deployable across on-premises, private, or hybrid cloud environments, and compatible with major providers like AWS, Azure, and Google Cloud, Jaspersoft helps businesses make data-driven decisions. Having a ready-to-use, customizable platform for business intelligence helps reduce the burden on development teams and allows users to easily create, manage, and deliver actionable insights directly within the applications they rely on. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=622&secure%5Bchosen_at%5D=2026-07-14T18%3A49%3A38Z&secure%5Bdisplayable_resource_id%5D=622&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=622&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=998&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%3Fopen_modal_url%3D%252Fproducts%252Fpanintelligence%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fembedded-business-intelligence%2526source%253Dcategory&secure%5Btoken%5D=2a4c21fef2d2bf41fcb215478c2ce4e4f9e4f82811653788d6710fa2c2da094e&secure%5Burl%5D=https%3A%2F%2Fwww.jaspersoft.com%2Ftrial&secure%5Burl_type%5D=free_trial) --- ## What Are the Top-Rated Embedded Business Intelligence Software Products in 2026? ### 1. [Hashboard](https://www.g2.com/products/hashboard/reviews) Hashboard is a business intelligence (BI) product built for data engineers to do their best work and easily spread the data love to their entire organizations (even non-technical folks!) Define metrics on your data warehouse and let your whole team search, explore and find insights that drive your business. Our goal is to simplify: our interface, how you interact with data and how your organization thinks about data. We aim to help your organization love data again by simplifying exploration and allowing you to publish data in a consistent, high quality and beautiful way. We believes that data itself is a product. And that data people are product people too. Read our full approach here: https://hashboard.com/approach or try out our interactive demo here: https://demo.hashboard.com/app **Average Rating:** 4.7/5.0 **Total Reviews:** 3 **How Do G2 Users Rate Hashboard?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) **Who Is the Company Behind Hashboard?** - **Seller:** [Hashboard](https://www.g2.com/sellers/hashboard) - **HQ Location:** New York City, US - **Twitter:** @hashboardhq (252 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/hashboardhq (4 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Mid-Market, 33% Enterprise #### What Are Recent G2 Reviews of Hashboard? **"[Fast Dashboard Development + New Exciting Features](https://www.g2.com/survey_responses/hashboard-review-9741163)"** **Rating:** 4.0/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/hashboard-review-9741163) --- **"[Glean Feedback](https://www.g2.com/survey_responses/hashboard-review-8359216)"** **Rating:** 5.0/5.0 stars *— Gujja R.* [Read full review](https://www.g2.com/survey_responses/hashboard-review-8359216) --- ### 2. [Horizon](https://www.g2.com/products/bravo-zulu-intelligence-horizon/reviews) HORIZON is a real-time financial intelligence platform for small and mid-market businesses. It combines a GAAP-compliant accounting engine with an active intelligence layer that monitors your financial position against external signals, so your team is not just maintaining books but operating with continuous situational awareness. The platform connects to more than 12,000 U.S. financial institutions via Plaid and correlates your internal financial data against more than 23 government and public data sources including FRED, BLS, BEA, Treasury, OFAC, SEC EDGAR, and USITC. The result is a platform that does not just record what happened but surfaces what it means and flags what is coming. HORIZON supports full double-entry accrual accounting with standard account structures across assets, liabilities, equity, revenue, and expenses. Transactions are recorded as balanced journal entries. The platform includes period locking, close enforcement, and audit-ready workflows with review and approval controls built in. Finance teams can manage multi-entity books, lock accounting periods, and control access by user role. Reconciliation runs as a continuous, multi-stage process covering accounts receivable, accounts payable, loans, inventory, and fixed assets. The platform connects to financial institutions via Plaid or accepts uploaded bank statements, matches transactions against ledger records at a 95% auto-reconciliation confidence threshold, and surfaces items that require human review. For receivables, HORIZON integrates with Stripe via webhook-based GL posting so invoices, payment links, cash receipts, refunds, and related ledger activity are reflected in the books as they occur rather than uploaded at month end. The intelligence layer is where HORIZON departs from every other accounting platform in this category. Financial data inside the platform is continuously correlated against macroeconomic indicators, labor market data, trade and tariff databases, regulatory activity, sanctions screening, energy pricing, and contract and supplier data from federal sources. The platform uses your NAICS industry code and revenue band to apply benchmarked KPI thresholds that adjust to current macro conditions rather than static targets. It can model forward cash position under multiple scenarios, score supplier risk across tariff exposure and country risk, and deliver alerts against AR/AP aging, metric deltas, and threshold breaches without requiring a separate BI tool or analyst to pull it together. HORIZON includes more than 150 AI tools across 33 categories on the Advanced tier, operating in an agentic workflow model. The AI assistant handles natural language queries for balances, transaction history, reports, categorization, and cross-period analysis. Agentic tasks run on a two-tier approval model where routine operations execute automatically and changes to the books surface for human approval before being applied. Conversation memory and semantic caching maintain context across sessions. HORIZON is built for business owners and finance leads at companies doing $500K to $10M+ in annual revenue who need more than transaction records. It is the right fit if you are currently managing books in QuickBooks or Xero and getting nothing back except a P&L, or if you are paying a bookkeeper or fractional CFO for periodic check-ins and want continuous coverage instead. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind Horizon?** - **Seller:** [Bravo Zulu Intelligence](https://www.g2.com/sellers/bravo-zulu-intelligence) - **Year Founded:** 2024 - **HQ Location:** Lincoln, US - **LinkedIn® Page:** https://www.linkedin.com/company/bravo-zulu-intelligence/ (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of Horizon? **"[Clear Cash Flow Insights and Smarter Decisions with Horizon](https://www.g2.com/survey_responses/horizon-review-12467752)"** **Rating:** 5.0/5.0 stars *— Jackson J.* [Read full review](https://www.g2.com/survey_responses/horizon-review-12467752) --- ### 3. [intellsys AdGPT](https://www.g2.com/products/intellsys-adgpt/reviews) Intellsys AdGPT is an AI-driven prescriptive advertising intelligence platform that helps businesses optimize their performance marketing decisions. The platform connects with over 200 ad data sources, including Google Ads, Meta, Amazon, Shopify, CRM, and analytics tools, delivering a unified, real-time view of campaign to conversion metrics. Through a conversational AI interface, marketers ask questions and receive precise metrics plus prioritized next moves tied to CAC, ROAS, and LTV. What is the Role of Intellsys AdGPT? Intellsys AdGPT acts as your on-demand strategic advisor, intelligently diagnosing performance issues like budget leaks or creative fatigue and prescribing ranked, actionable steps with clear reasons and projected outcomes. It replaces dashboard drift and guesswork with confident, data-driven decisions and compounding results, accelerating marketing velocity without demanding complex setups or siloed analysis. Why Intellsys AdGPT? Marketing complexity is rising with multi-channel spend, privacy shifts, and fragmented analytics. Intellsys AdGPT solves this by unifying all marketing data into one authoritative source updated hourly, providing clarity and alignment across teams. It empowers marketers to make faster, smarter decisions with transparent, secure AI-driven recommendations, helping teams move beyond traditional reporting and scale growth effectively. Intellsys AdGPT Growth Marketing Tool Key Features: 1. Unified Data Integration Connects 200+ advertising, social media, CRM, and analytics platforms for seamless, consistent real-time reporting. 2. Conversational Ask-and-Act Interface Plain-English questions get you instant metrics plus prioritized next moves—in one conversation, one truth. 3. Prescriptive Playbooks Every insight ends with a step-by-step, outcome-ranked plan showing what to do now and why it matters. 4. Leak Opportunity Radar Automatically surfaces campaign and creative fatigue zones or performance leaks before they impact ROI. 5. Enterprise-Grade Security & Governance Role-based access, audit trails, GDPR-compliance, and certifications ensure secure and trustworthy use. Key Benefits of Using Intellsys AdGPT: 1. Accelerate decision cycles from days to minutes, boosting experiment velocity and agility 2. Gain clear, trusted insights to optimize budget allocation and reduce wasted spend 3. Achieve alignment across marketing, growth, and finance teams with one version of truth 4. Reduce manual data wrangling with automated diagnostics and prescriptive next steps 5. Drive measurable growth with projected impact tied to all recommendations **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **Who Is the Company Behind intellsys AdGPT?** - **Seller:** [GrowthJockey](https://www.g2.com/sellers/growthjockey) - **Year Founded:** 2020 - **HQ Location:** Gurugram, IN - **LinkedIn® Page:** https://www.linkedin.com/company/growthjockey (116 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are intellsys AdGPT's Pros and Cons? **Pros:** - Data Analysis (2 reviews) - Insights (2 reviews) - Analytics (1 reviews) - Performance Evaluation (1 reviews) - Time-saving (1 reviews) **Cons:** - Slow Loading (1 reviews) - Slow Performance (1 reviews) - Update Issues (1 reviews) ### What Do G2 Reviewers Say About intellsys AdGPT? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **usefulness of dashboards** created by intellsys for efficient data analysis and assessment. - Users find the **dashboards highly useful** for efficient data analysis, greatly enhancing their assessment capabilities. - Users find the **analytics capabilities** of Intellsys AdGPT's dashboards highly valuable for data analysis. - Users find that intellsys AdGPT excels in **efficient data assessment** , enhancing their overall productivity. - Users find that AdGPT is a **time-saving tool** that enhances data assessment efficiency significantly. **Cons:** - Users feel that the **slow loading** times of intellsys AdGPT hinder their overall dashboard creation experience. - Users feel that **slow performance** during dashboard creation hinders their ability to excel and customize effectively. - Users express concerns about **update issues** , noting the lengthy 3-4 hour data refresh time as problematic. #### What Are Recent G2 Reviews of intellsys AdGPT? **"[Insightful & Organized Data Analyzing!](https://www.g2.com/survey_responses/intellsys-adgpt-review-10916844)"** **Rating:** 4.5/5.0 stars *— Gaurav J.* [Read full review](https://www.g2.com/survey_responses/intellsys-adgpt-review-10916844) --- **"[data analyses](https://www.g2.com/survey_responses/intellsys-adgpt-review-10916868)"** **Rating:** 4.5/5.0 stars *— Supreeti B.* [Read full review](https://www.g2.com/survey_responses/intellsys-adgpt-review-10916868) --- ### 4. [Jamix](https://www.g2.com/products/jamix/reviews) Jamix is an AI-powered assistant designed to enhance workplace productivity by integrating seamlessly with a company's existing applications, data, and APIs. By connecting to various tools such as Slack, Google Drive, and Notion, Jamix enables users to search across multiple platforms, interact with their data through natural language queries, and automate routine tasks. This consolidation allows employees to access information quickly, perform actions directly within their workflow, and reduce the time spent on repetitive activities. Jamix places a strong emphasis on data security and privacy, ensuring that user data is encrypted and never used to train AI models. **Who Is the Company Behind Jamix?** - **Seller:** [Jamix](https://www.g2.com/sellers/jamix) - **Year Founded:** 1990 - **HQ Location:** Jyväskylä, FI - **LinkedIn® Page:** https://www.linkedin.com/company/jamix (49 employees on LinkedIn®) ### 5. [JUMP Insights](https://www.g2.com/products/jump-insights/reviews) JUMP Insights is a unified data dashboard for video services based on predictive analytics, AI, and ML technologies. This tool makes it possible to increase user conversion, retention, and engagement by immediately understanding your overall video platform performance, identifying opportunities and threats, reaching targeted consumers, and tracking marketing campaigns' performance. **Who Is the Company Behind JUMP Insights?** - **Seller:** [JUMP Data-Driven Video](https://www.g2.com/sellers/jump-data-driven-video) - **Year Founded:** 2016 - **HQ Location:** Madrid, ES - **LinkedIn® Page:** https://www.linkedin.com/company/jump-data-driven-intelligence (27 employees on LinkedIn®) ### 6. [Kleene](https://www.g2.com/products/kleene/reviews) Kleene.ai unifies your business data in one place to power real-time reporting, analytics, and AI-driven decisions. Go live in weeks, not months — without building a data team. Kleene.ai gives mid-market and enterprise businesses a single, intelligent platform to understand what drives growth. It connects to 200+ data sources — from CRMs and ERPs to marketing and finance tools — and automatically cleans, combines, and models your data for reporting, analytics, and forecasting. At the core of the platform is KAI: an AI-powered analytics layer that surfaces insights across your business, and a conversational AI assistant that lets teams query their data in plain language — no SQL, no analysts, no waiting. Whether you're investigating churn, margins, or customer lifetime value, KAI puts answers directly in the hands of the people who need them. Kleene.ai is built for organizations that want to make faster, data-driven decisions without the complexity of managing disparate tools or large engineering teams. Every implementation is tailored to your existing data environment — with transparent pricing and a clear path to value. Why Kleene: 1️⃣ Fast to implement — adapts to any data architecture and goes live in weeks, not months. 2️⃣ No engineering overhead — a fully managed platform that eliminates the need for a large data team, cutting infrastructure costs by up to 80%. 3️⃣ AI-powered from day one — KAI's analytics layer and LLM assistant turn complex data into clear, actionable answers across finance, marketing, and operations. 4️⃣ Tailored to your business — every setup aligns with your existing environment and goals, backed by transparent pricing and hands-on support. Kleene.ai replaces the fragmented, manual approach to data with a single platform that thinks alongside your team. The result: faster insights, sharper decisions, and measurable business impact. **Average Rating:** 4.6/5.0 **Total Reviews:** 29 **How Do G2 Users Rate Kleene?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 8.9/10) - **Steps to Answer:** 10.0/10 (Category avg: 8.3/10) - **Reports Interface:** 10.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 10.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Kleene?** - **Seller:** [kleene.ai](https://www.g2.com/sellers/kleene-ai) - **Company Website:** https://kleene.ai/ - **Year Founded:** 2017 - **HQ Location:** London, London - **Twitter:** @Kleene_ai (32 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/kleeneai/ (35 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 52% Mid-Market, 34% Small-Business #### What Are Kleene's Pros and Cons? **Pros:** - Ease of Use (3 reviews) - Automation (2 reviews) - Business Value (2 reviews) - Cost-Effective (2 reviews) - Customer Support (2 reviews) ### What Do G2 Reviewers Say About Kleene? *AI-generated summary from verified user reviews* **Pros:** - Users praise Kleene for its **ease of use** , enabling efficient data management and simplifying complex reporting tasks. - Users praise the **automation capabilities** of Kleene, significantly reducing manual reporting time and enhancing efficiency. - Users value the **significant time savings** with Kleene, enhancing productivity and streamlining reporting processes effectively. - Users appreciate the **cost-effectiveness** of Kleene, experiencing significant time savings and fair pricing without hidden fees. - Users commend the **responsive customer support** of Kleene, ensuring quick resolution and valuable assistance throughout their journey. #### What Are Recent G2 Reviews of Kleene? **"[Changed my life, love it!](https://www.g2.com/survey_responses/kleene-review-7138871)"** **Rating:** 5.0/5.0 stars *— Alisha S.* [Read full review](https://www.g2.com/survey_responses/kleene-review-7138871) --- **"[A partner who builds with you](https://www.g2.com/survey_responses/kleene-review-12919267)"** **Rating:** 5.0/5.0 stars *— Emil K.* [Read full review](https://www.g2.com/survey_responses/kleene-review-12919267) --- ### 7. [NODATA](https://www.g2.com/products/nodata/reviews) NODATA is a BI, data analytics platform that helps businesses make agile data-driven decisions in a more efficient and collaborative way. Missions include reducing "time to insight" in the most secure way, increasing non-IT users' autonomy and strengthening data literacy within their customers' company. Working with big international corporations (Renault Group, RCI Bank and services, Crédit Agricole, BNP Paribas, etc.), NODATA has developed a strong expertise in accompanying their customers to achieve successful data democratization throughout their organization. **Who Is the Company Behind NODATA?** - **Seller:** [NODATA](https://www.g2.com/sellers/nodata) - **Year Founded:** 2015 - **HQ Location:** Paris, FR - **LinkedIn® Page:** https://www.linkedin.com/company/nodata (22 employees on LinkedIn®) ### 8. [NuroNet Forecasting](https://www.g2.com/products/nuronet-forecasting/reviews) NuroNet is an AI-driven forecasting engine developed by Ecolyt.ai, designed to enhance demand prediction accuracy across various products and regions. By segmenting demand patterns and correcting biases, NuroNet delivers precise forecasts, enabling businesses to navigate market volatility effectively. This solution empowers organizations to make informed, data-driven decisions, improving operational efficiency and reducing risks associated with demand fluctuations. Key Features and Functionality: - AI-Powered Forecasting: Utilizes advanced artificial intelligence to analyze and predict demand patterns. - Bias Correction: Identifies and adjusts for biases in data to enhance forecast reliability. - Demand Segmentation: Segments demand patterns to provide tailored forecasting for different products and regions. - Adaptability: Designed to handle both stable and erratic demand scenarios, ensuring flexibility in various market conditions. Primary Value and Problem Solved: NuroNet addresses the challenge of demand unpredictability by providing businesses with accurate, AI-driven forecasts. This capability allows organizations to anticipate market changes, optimize inventory levels, and streamline supply chain operations. By reducing the risks associated with demand volatility, NuroNet enhances business resilience and supports strategic planning, ultimately driving growth and customer satisfaction. **Who Is the Company Behind NuroNet Forecasting?** - **Seller:** [ecolyt.ai](https://www.g2.com/sellers/ecolyt-ai) - **LinkedIn® Page:** https://www.linkedin.com/company/ecolyt-ai/ ### 9. [OQLIS](https://www.g2.com/products/oqlis/reviews) OQLIS is a data visualization and analytics platform designed to translate data into insights, deployed in the cloud. **Who Is the Company Behind OQLIS?** - **Seller:** [OQLIS Software](https://www.g2.com/sellers/oqlis-software) - **Year Founded:** 2014 - **HQ Location:** City of Tshwane, ZA - **Twitter:** @OQAnalytics (46 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/oqlis-software-corporation/ (17 employees on LinkedIn®) ### 10. [PARIS](https://www.g2.com/products/paris-technologies-international-paris/reviews) The PARIS Platform (Planning, Analysis, Reporting, Information Systems) is a comprehensive FP&A and reporting solution designed for growing companies that have outgrown basic spreadsheet processes but perhaps aren't ready for enterprise-level complexity. Our platform connects directly to your existing ERP systems including Microsoft Dynamics, Xero, Unanet, and SQL Server databases to eliminate manual data gathering and accelerate financial close cycles. PowerExcel Add-In: Our flagship component transforms your existing Excel models into live, connected planning and reporting tools. Finance teams maintain the Excel flexibility they know while gaining real-time data connectivity that scales with business growth. No more broken formulas when IT updates systems or manual copying from multiple data sources. Olation Database Technology: Our proprietary in-memory database engine sits between your Excel models and backend systems, providing lightning-fast data processing and multi-dimensional analysis capabilities. Olation handles complex data transformations and calculations while maintaining data integrity across your entire financial planning workflow. Core Capabilities: - Budgeting & Forecasting: Build dynamic budget models that adapt automatically to organizational changes - Financial Reporting: Generate variance reports, P&L statements, and executive dashboards with live data - Consolidation: Aggregate financial data across multiple entities, departments, or business units - Scenario Planning: Run what-if analyses without breaking your base models - Collaborative Planning: Enable cross-functional teams to work from shared datasets with role-based access controls Ideal for: Companies with $200M-$1B+ annual revenue experiencing rapid growth where manual financial processes create bottlenecks. Our clients typically have FP&A teams struggling with 2-3 week month-end close cycles due to data gathering complexity. Key Differentiators: Unlike traditional corporate performance management (CPM) or enterprise resource planning (ERP) extensions, PARIS Platform preserves your team's Excel expertise while adding enterprise-grade data connectivity and automation. Implementation typically takes weeks, not months, with plug-and-play connectors for major accounting systems. Transform your financial planning and analysis operations without abandoning the tools your team already knows. PARIS Platform bridges the gap between spreadsheet-based processes and enterprise FP&A software, delivering faster closes, better insights, and scalable growth. **Who Is the Company Behind PARIS?** - **Seller:** [PARIS Technologies International](https://www.g2.com/sellers/paris-technologies-international) - **Year Founded:** 1998 - **HQ Location:** Doylestown, PA - **Twitter:** @PARIS_Tech (1,024 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/paristechnologiesinternational/ (28 employees on LinkedIn®) ### 11. [Plottable.js](https://www.g2.com/products/plottable-js/reviews) Plottable.js provides flexible, interactive charts for the web. **Average Rating:** 4.0/5.0 **Total Reviews:** 4 **How Do G2 Users Rate Plottable.js?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) **Who Is the Company Behind Plottable.js?** - **Seller:** [Aunetic](https://www.g2.com/sellers/aunetic) - **Year Founded:** 1989 - **HQ Location:** Stockholm, SE - **LinkedIn® Page:** https://www.linkedin.com/company/aunetic/ (33 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 75% Small-Business, 25% Mid-Market #### What Are Recent G2 Reviews of Plottable.js? **"[Best Library to Show Charts in Application](https://www.g2.com/survey_responses/plottable-js-review-10165990)"** **Rating:** 5.0/5.0 stars *— Bhavik C.* [Read full review](https://www.g2.com/survey_responses/plottable-js-review-10165990) --- **"[My Experience with plottable.js in my work.](https://www.g2.com/survey_responses/plottable-js-review-10173773)"** **Rating:** 4.0/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/plottable-js-review-10173773) --- ### 12. [PowerBI Robots](https://www.g2.com/products/powerbi-robots/reviews) PowerBI Robots is a report scheduling and delivery solution for Microsoft Power BI that helps organizations automate the distribution of dashboards, reports, and visuals. Instead of relying on manual exports and repetitive sending processes, users can schedule deliveries and ensure Power BI content reaches the right people, at the right time, in the format they need. Built for teams that need to streamline recurring reporting workflows, PowerBI Robots allows users to send Power BI content through channels such as email, SharePoint, file systems, and web pages/slideshows. It supports multiple output options, including images, PDF files, and Excel files, helping organizations adapt reporting delivery to different business and operational needs. PowerBI Robots also allows users to create automated playlists, define recurrence rules, and personalize deliveries so different recipients can receive different views of the same Power BI content. This makes it especially useful for companies that need scalable, repeatable, and more controlled report distribution across teams, customers, partners, or locations. By reducing manual work and making report delivery more consistent, PowerBI Robots helps organizations save time, improve efficiency, and operationalize Power BI insights more effectively. **Who Is the Company Behind PowerBI Robots?** - **Seller:** [DevScope](https://www.g2.com/sellers/devscope) - **Year Founded:** 2003 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/devscope (183 employees on LinkedIn®) ### 13. [QuarkCube.IO](https://www.g2.com/products/quarkcube-io/reviews) BUILD AI & NLP BASED ANALYTIC APPLICATIONS USING QUARKCUBE ENGINE **Who Is the Company Behind QuarkCube.IO?** - **Seller:** [QuarkCube.IO](https://www.g2.com/sellers/quarkcube-io) - **Year Founded:** 2020 - **HQ Location:** Bengaluru, IN - **LinkedIn® Page:** https://www.linkedin.com/company/quarkcube (14 employees on LinkedIn®) ### 14. [RCOR Intelliger](https://www.g2.com/products/rcor-intelliger/reviews) RCOR Intelliger is a cloud-based BI and data analytics platform that transforms your data into actionable insights. RCOR Intelliger integrates with 500+ data sources, including CRMs, ERPs, social media platforms, and more. With its pre-built dashboards, it provides managers, C-level executives, and business owners with AI-driven insights, enabling real-time access to key business data for better decision-making. **Who Is the Company Behind RCOR Intelliger?** - **Seller:** [RCOR](https://www.g2.com/sellers/rcor) - **Year Founded:** 2020 - **HQ Location:** Dubai, AE - **LinkedIn® Page:** https://www.linkedin.com/company/rcorco (27 employees on LinkedIn®) ### 15. [ReGraph graph visualization toolkit for React](https://www.g2.com/products/regraph-graph-visualization-toolkit-for-react/reviews) ReGraph is a React SDK for building browser-based, interactive, custom and high-performance graph visualizations that reveal threats and hidden insight. For React developers, ReGraph offers a simple and clean coding experience. It has familiar logic, easy state handling and well-documented props. It fits with any browser, device, server or database and comes with clear tutorials, demos and API documentation. Combined with our developer support, you’ll be uncovering network insight in no time. https://cambridge-intelligence.com/regraph/ **Who Is the Company Behind ReGraph graph visualization toolkit for React?** - **Seller:** [Cambridge Intelligence](https://www.g2.com/sellers/cambridge-intelligence) - **Year Founded:** 2011 - **HQ Location:** Cambridge, GB - **Twitter:** @cambridgeintel (1,194 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/cambridge-intelligence (86 employees on LinkedIn®) ### 16. [skills.ai](https://www.g2.com/products/skills-ai/reviews) Skills.ai makes interacting with your data as easy as having a conversation with your favorite data analyst. **Average Rating:** 3.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate skills.ai?** - **Steps to Answer:** 6.7/10 (Category avg: 8.3/10) - **Reports Interface:** 6.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 6.7/10 (Category avg: 8.5/10) **Who Is the Company Behind skills.ai?** - **Seller:** [skills.ai](https://www.g2.com/sellers/skills-ai) - **HQ Location:** Cupertino, US - **LinkedIn® Page:** https://www.linkedin.com/company/skills-dot-ai/ (4 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are skills.ai's Pros and Cons? **Pros:** - Ease of Use (1 reviews) - Features (1 reviews) - Intuitive (1 reviews) - User Interface (1 reviews) ### What Do G2 Reviewers Say About skills.ai? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of skills.ai, finding the interface intuitive and features helpful. - Users love the **easy-to-use interface** and the array of great features offered by skills.ai. - Users appreciate the **intuitive interface** of skills.ai, finding it easy to navigate and use effectively. - Users appreciate the **easy-to-use interface** and enjoy the great features of skills.ai for their tasks. ### 17. [Supersimple](https://www.g2.com/products/supersimple/reviews) Supersimple is an AI-native business intelligence platform that answers questions using both your data and your company's knowledge: metrics, tables, and documents, all at once. It connects to your data warehouse, data and code context (dbt, GitHub) and to the tools where your knowledge lives (Slack, Notion, Google Drive, Confluence, and more). Every answer is grounded with citations and no-code steps, instead of difficult-to-read code & queries. Governed semantic data models create a single source of truth, while ensuring flexible and reliable self-service. **Average Rating:** 4.4/5.0 **Total Reviews:** 18 **How Do G2 Users Rate Supersimple?** - **Has the product been a good partner in doing business?:** 8.3/10 (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:** 9.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Supersimple?** - **Seller:** [Supersimple](https://www.g2.com/sellers/supersimple) - **Year Founded:** 2021 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/gosupersimple/ (10 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Small-Business, 28% Mid-Market #### What Are Supersimple's Pros and Cons? **Pros:** - Ease of Use (12 reviews) - Useful (8 reviews) - Insights (5 reviews) - AI Integration (4 reviews) - Implementation Ease (3 reviews) **Cons:** - Expensive Pricing (4 reviews) - Expensive (3 reviews) - Learning Curve (2 reviews) - Learning Difficulty (2 reviews) - Pro Version Issues (2 reviews) ### What Do G2 Reviewers Say About Supersimple? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Supersimple, enabling effortless data queries without any coding required. - Users value the **ease of use** of Supersimple, enjoying quick and accurate answers to data questions without coding. - Users find **dashboard creation easy and insightful** with Supersimple, thanks to its user-friendly AI and natural language queries. - Users value the **AI integration** in Supersimple, enhancing their data querying experience and providing quick, understandable answers. - Users find **implementation incredibly easy** , allowing for quick setup and seamless integration into their workflows. **Cons:** - Users feel the pricing of Supersimple is **too high for startups** , making integration challenging for budget-conscious businesses. - Users find Supersimple to be **too expensive** , especially for startups needing affordable foundational solutions. - Users note a **demanding learning curve** for Supersimple, especially for those new to data analysis tools. - Users note that the **learning difficulty** can be challenging for those unfamiliar with data analysis tools. - Users find **pro version issues** affecting usability, including unclear pricing and reliance on AI insights limiting data detail. #### What Are Recent G2 Reviews of Supersimple? **"[Enabling the end user with abilities to explore data in a friendly and easy manner](https://www.g2.com/survey_responses/supersimple-review-9802995)"** **Rating:** 4.0/5.0 stars *— KUMAR KASHISH K.* [Read full review](https://www.g2.com/survey_responses/supersimple-review-9802995) --- **"[Interesting product for B2B SaaS](https://www.g2.com/survey_responses/supersimple-review-9801484)"** **Rating:** 4.0/5.0 stars *— Maria N.* [Read full review](https://www.g2.com/survey_responses/supersimple-review-9801484) --- ### 18. [TalkBI](https://www.g2.com/products/talkbi/reviews) Talk.bi transforms the way teams interact with their data. Instead of writing complex SQL queries or navigating static dashboards, you can simply chat with your database — just like you’d talk to a colleague. Ask questions in plain English, and get instant answers beautifully visualized in interactive dashboards. **Who Is the Company Behind TalkBI?** - **Seller:** [Coara](https://www.g2.com/sellers/coara) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 19. [Upsolve AI](https://www.g2.com/products/upsolve-ai/reviews) Upsolve AI is the platform for deploying governed, grounded, and trustworthy AI data agents to your internal teams or external customers. It helps data teams move past the broken self-serve BI promise by combining the conversational power of large language models with the rigor of a robust semantic layer, rich business context, and built-in evaluation and observability to put agent and context improvements on a flywheel. End users get accurate answers while the data team stays in control. The platform has two complementary components: the Upsolve Data Agent and the Upsolve Agent Context Studio. 1. The Upsolve Data Agent. The Upsolve Data Agent does what a good data analyst does. It answers business questions in natural language, asks clarifying questions when a request is ambiguous, generates charts and reports on the fly, and helps users explore the underlying data without writing SQL. These analyst behaviors come built into the agent itself. What the Upsolve Data Agent does: Conversational, natural-language Q&A over your data, with built-in text-to-SQL Multi-step reasoning across datasets, generate interactive charts on-demand(30+ chart types: bar, line, pie, scatter, heatmap, funnel, and more), auto-generated reports and summaries tailored to a user's role (exec, PM, ops, support, finance), conversational drill-down and follow-up turns in the same thread. The Upsolve Data Agent is designed to be easily customizable. We don't believe in an out-of-the-box data agent. Data agents are only useful and reliable with rich context and when assessed against your own performance benchmarks. A generic LLM connected to a database produces generic answers and hallucinated metrics. To produce true, traceable, and transparent answers about your business, the agent needs three more things, and that is where the Data Agent Studio comes in. 2. Upsolve Data Agent Studio. The Data Agent Studio is the place for your team to make the Data Agent accurate, reliable, and trustworthy. It is built on three layers: Data Layer, Context Layer, and Trust and Evals Layer. Data Layer: OOTB database connectors + Cockpit for Semantic Layer construction Database connectors for ClickHouse, Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL, and other major data warehouses. Robust data governance with Multi-tenant architecture with row- and column-level permissioning. For teams that don't have a unified semantic layer model, the Cockpit tool provides a guided and guardrailed interface that takes your team from fragmented data to a clean, AI-ready semantic layer in a week, instead of the six to eight months a typical V1 takes. Context Layer: your data agent needs a unified, auto-curated, and auto-refreshed context layer. The Context Layer connects your files, docs, and systems (Notion, Confluence, Google Drive, internal wikis, product release notes, dbt files, data catalogs, metric glossaries) and curates the information the agent needs to understand the business behind the numbers. It captures product launches, definition changes, ontology, naming conventions, and team-specific business logic so a query like "usage spiked last week" turn into "usage spiked last week, and this correlates with Tuesday's Pro plan launch". The Context Layer scans for updates across systems of records connected to it, flags context gaps, and suggests updated. Humans always in the loop. Trust and Evals Layer: Testing, end-of-end observability, and evaluations according to your benchmarks. Sandbox environment for pre-deployment testing, plus production logs after launch. Full LLM observability: every prompt, tool call, model used, retrieved context, and reasoning step is logged, traceable, and reviewable. Built-in evaluations: define gold-standard queries and answers, run tests, and catch agent drift with in-built LLM-as-a-judge evaluators before stakeholders. This system then creates a self-improving feedback loop when corrections from your team feed back into the agent's eval set so quality compounds over time. Together, those three Data Agent Studio components turn a generic agent into one that produces accurate, reliable, and trustworthy answers your team can defend. Delivery and deployment: The Upsolve Agentic Dashboard is a conversation-driven exploration surface for end users, with 30+ chart types, interactive filters, drill-down, PDF export, scheduled email, and version history. End users can save generated charts to a personal dashboard or simply tell the agent their role and have it auto-build a full dashboard for that persona, solving the blank-page problem typical of self-serve BI tools. SSO, role-based access control, and audit logging are included. The same Data Agent you customized can be accessed by your users wherever they already work. Embedded inside your own product as customer-facing analytics for B2B SaaS as an iFrame or React component; deploy into Slack and Microsoft Teams as in-channel data bot; access in Claude, ChatGPT, Cursor, and any MCP-compatible client to get data while you work and stage multi-agent workflows; or any custom application via REST API. Common use cases: Internal self-service business intelligence for data teams that don't want to be a ticket queue. Customer-facing embedded analytics for B2B SaaS products. Conversational analytics, generative BI (GenBI), and agentic BI deployments AI-powered reporting and operational analytics for ops, finance, support, and product. Multi-tenant SaaS analytics with row-level security. Looker, Tableau, Power BI alternatives for teams that want an AI-native approach. Why Upsolve AI AI-native architecture. Upsolve was built around the agent from day one, not retrofitted onto a legacy BI tool. Data team in control. The semantic layer, business context, and evals all live with your team, not buried inside a black-box LLM. Fast time-to-value. Cockpit takes you from fragmented data to a working semantic layer in a week. Real evaluation. Most "AI for BI" tools skip evals. Upsolve makes them first-class. Build in Studio, access anywhere. The same agent across internal dashboards, Slack, Teams, your product, and MCP-compatible clients. Enterprise-ready. SSO, role-based access control, multi-tenant governance, audit logging, and full observability included. Built for modern data and AI stacksUpsolve plugs into Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL. It works alongside dbt, existing semantic layers, and your data catalog. The Data Agent can be invoked from Claude, ChatGPT, Cursor, or any MCP-compatible client, making it easy to compose multi-agent workflows where Upsolve handles the data analysis step. YC W24. **Average Rating:** 4.8/5.0 **Total Reviews:** 15 **How Do G2 Users Rate Upsolve AI?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) - **Steps to Answer:** 8.6/10 (Category avg: 8.3/10) - **Reports Interface:** 9.0/10 (Category avg: 8.7/10) **Who Is the Company Behind Upsolve AI?** - **Seller:** [Upsolve AI](https://www.g2.com/sellers/upsolve-ai) - **Company Website:** https://upsolve.ai/ - **Year Founded:** 2023 - **HQ Location:** London, GB - **LinkedIn® Page:** https://www.linkedin.com/company/upsolveai/ (4 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 60% Small-Business, 27% Mid-Market #### What Are Upsolve AI's Pros and Cons? **Pros:** - Ease of Use (8 reviews) - Useful (4 reviews) - Customer Support (3 reviews) - Insights (3 reviews) - Time-saving (3 reviews) **Cons:** - Limited Options (2 reviews) - Usage Limitations (2 reviews) - Complexity (1 reviews) - Learning Curve (1 reviews) - Learning Difficulty (1 reviews) ### What Do G2 Reviewers Say About Upsolve AI? *AI-generated summary from verified user reviews* **Pros:** - Users find Upsolve AI's **ease of use** invaluable, making setup and dashboard creation straightforward and efficient. - Users find **Upsolve AI's streamlined dashboard integration** invaluable, enhancing workflow and simplifying data management effortlessly. - Users commend Upsolve AI for its **excellent customer support** , which greatly enhances the overall user experience. - Users appreciate the **super fast insights and high-quality visualizations** that enhance customer success and communication. - Users appreciate the **time-saving capabilities** of Upsolve AI, making data analytics quick and straightforward for their teams. **Cons:** - Users find the **limited options** for customization and features restrict their ability to enhance the dashboard experience. - Users face **usage limitations** with Upsolve AI, including slow loading times and lack of customization options for dashboards. - Users find the **complexity of analysis** can lead to multiple iterations needed for accurate results with Upsolve AI. - Users find the **learning curve steep** due to numerous options, requiring time to fully grasp the features. - Users find that the **learning difficulty** with Upsolve AI's numerous features can hinder quick comprehension and usage. #### What Are Recent G2 Reviews of Upsolve AI? **"[Streamlined Dashboard Creation with Exceptional Support](https://www.g2.com/survey_responses/upsolve-ai-review-11873474)"** **Rating:** 4.5/5.0 stars *— Sahil S.* [Read full review](https://www.g2.com/survey_responses/upsolve-ai-review-11873474) --- **"[Exactly What We Needed for Embedded Analytics Without Rebuilding Our Stack](https://www.g2.com/survey_responses/upsolve-ai-review-11446143)"** **Rating:** 5.0/5.0 stars *— Adarsh K.* [Read full review](https://www.g2.com/survey_responses/upsolve-ai-review-11446143) --- ### 20. [URSA Product Suite](https://www.g2.com/products/ursa-product-suite/reviews) Our URSA and DQ Software Product Suites connect your applications to disparate data sources across your organization - whether it's application integration, data mart development, or executive reporting, we can help you leverage the value of existing technology and achieve the return on your data assets that you are seeking. **Who Is the Company Behind URSA Product Suite?** - **Seller:** [Decisionsupport](https://www.g2.com/sellers/decisionsupport) - **Year Founded:** 1984 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (28 employees on LinkedIn®) ### 21. [Velory](https://www.g2.com/products/velory/reviews) Velory streamlines IT and device lifecycle management for companies of all sizes. By integrating key systems like HRIS, user directory, leasing providers, retail suppliers, and MDM solutions, Velory enables businesses to manage their entire IT ecosystem in one place. From budgeting for employee hardware purchases to asset management and compliance with company policies, Velory simplifies the process, saving time and reducing complexity. Trusted by SMBs and enterprises alike, Velory helps companies centralize their IT infrastructure and create seamless onboarding experiences, improving efficiency and employee satisfaction. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Velory?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) **Who Is the Company Behind Velory?** - **Seller:** [Velory AB](https://www.g2.com/sellers/velory-ab) - **Year Founded:** 2019 - **HQ Location:** Stockholm, Stockholm County, Sweden - **LinkedIn® Page:** https://www.linkedin.com/company/velory-ab/ (44 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Velory's Pros and Cons? **Pros:** - Customer Support (1 reviews) - Management (1 reviews) ### What Do G2 Reviewers Say About Velory? *AI-generated summary from verified user reviews* **Pros:** - Users value the **responsive and committed support** from Velory, enhancing control over orders and devices. - Users value the **responsive and committed support** from Velory, enhancing their control over orders and devices. #### What Are Recent G2 Reviews of Velory? **"[Velory/Möller Bil](https://www.g2.com/survey_responses/velory-review-11732694)"** **Rating:** 5.0/5.0 stars *— Erik G.* [Read full review](https://www.g2.com/survey_responses/velory-review-11732694) --- ### 22. [Yurbi](https://www.g2.com/products/yurbi/reviews) Yurbi is self-hosted, embedded analytics and OEM business intelligence for ISVs and SaaS companies that want to ship dashboards and reporting to their customers — white-labeled as their own product, isolated per tenant, and running entirely on their own servers. Unlike usage-metered or per-seat embedded BI tools, Yurbi uses flat annual pricing from $10,000/year based on named-user tiers, with no per-user overage and no consumption spikes as traffic grows — so costs stay predictable as you scale. Every plan includes the entire platform with no feature paywalls: per-tenant white-label branding, multi-tenant security with row- and column-level data control, a no-code report builder, 20+ chart types, dashboards, dynamic data-source routing, FastCache for fast rendering, scheduled delivery, export, and a full REST API. Because Yurbi is self-hosted on your own Windows, Linux, or Docker servers, your customers' data never leaves your environment — there are no third-party cookies and no phone-home, and it's air-gap capable for high-security deployments. It connects natively to PostgreSQL, SQL Server, MySQL, and Oracle, plus Snowflake, Redshift, and BigQuery via ODBC. Yurbi is built and supported by 5000fish, a bootstrapped company with a codebase rooted since 1999 — so you work directly with the engineers who built it, not a support queue. It's a strong fit for ISVs replacing legacy tools like Crystal Reports, SSRS, or Izenda, or moving off consumption-billed embedded BI. **Who Is the Company Behind Yurbi?** - **Seller:** [5000fish, Inc](https://www.g2.com/sellers/5000fish-inc) - **Year Founded:** 2009 - **HQ Location:** Henderson, US - **Twitter:** @5000fish (525 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/5000fish/ (1 employees on LinkedIn®) ### 23. [Zed Analytics](https://www.g2.com/products/zed-analytics/reviews) Zed-Analytics enables the creation of intriguing reports and interactive dashboards that deliver actionable data insights in a commercial context. Our clients can get regular updates on their company's success this way. Zed-Power Analytics helps and promotes the construction of persuasion reports and collaborative dashboards that communicate tough data insights in a secure manner. **Who Is the Company Behind Zed Analytics?** - **Seller:** [Zed-Axis Technologies](https://www.g2.com/sellers/zed-axis-technologies) - **Year Founded:** 2000 - **HQ Location:** Gurugram, IN - **Twitter:** @ZedAxisIndia (131 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/78796 (26 employees on LinkedIn®) ### 24. [Zuar Portal](https://www.g2.com/products/zuar-portal/reviews) The first customer portal built to change as often as your customers' requirements do. Easily create, personalize, update, and maintain a data-driven customer experience with Zuar. Behind every “adoption” problem is a series of issues with UI/UX design, slow response times, limited functionality, manual processes, and a lean overworked team tasked with increasing retention KPIs and OKRs. We know it is essential to provide a consistent, omnichannel experience across various platforms and devices. Zuar is the cornerstone of a data-driven customer experience strategy, which aims to empower businesses by leveraging interconnected data to build trust and transparency. Zuar integrates with business intelligence leaders, like Tableau, Power BI, and ThoughtSpot, and cloud database providers, like Snowflake, Google Cloud, Redshift, and Databricks. **Who Is the Company Behind Zuar Portal?** - **Seller:** [Zuar](https://www.g2.com/sellers/zuar) - **Year Founded:** 2015 - **HQ Location:** Austin, US - **Twitter:** @weareZuar (242 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/zuar/ (22 employees on LinkedIn®) ## 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)