Alternatives to InAppBI
Compare InAppBI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to InAppBI in 2026. Compare features, ratings, user reviews, pricing, and more from InAppBI competitors and alternatives in order to make an informed decision for your business.
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Teradata VantageCloud
Teradata
Teradata VantageCloud: The complete cloud analytics and data platform for AI. Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems. -
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Google Cloud BigQuery
Google
BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process. -
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Vizologi
Vizologi
Powered by artificial intelligence, Vizologi searches, analyzes and visualizes the world’s business intelligence to help answer your strategic questions, it combines the simplicity of the business model canvas with the innovation power of mash-up method. Features: - Premium strategy data - Strategic insights network - Data analytics - Search engine & filters - Create lists - Create projects - Business Model Canvas - SWOT analysis - Project exportation -
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ZeusDB
ZeusDB
ZeusDB is a next-generation, high-performance data platform designed to handle the demands of modern analytics, machine learning, real-time insights, and hybrid data workloads. It supports vector, structured, and time-series data in one unified engine, allowing recommendation systems, semantic search, retrieval-augmented generation pipelines, live dashboards, and ML model serving to operate from a single store. The platform delivers ultra-low latency querying and real-time analytics, eliminating the need for separate databases or caching layers. Developers and data engineers can extend functionality with Rust or Python logic, deploy on-premises, hybrid, or cloud, and operate under GitOps/CI-CD patterns with observability built in. With built-in vector indexing (e.g., HNSW), metadata filtering, and powerful query semantics, ZeusDB enables similarity search, hybrid retrieval, filtering, and rapid application iteration. -
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Azure Analysis Services
Microsoft
Use Azure Resource Manager to create and deploy an Azure Analysis Services instance within seconds, and use backup restore to quickly move your existing models to Azure Analysis Services and take advantage of the scale, flexibility and management benefits of the cloud. Scale up, scale down, or pause the service and pay only for what you use. Combine data from multiple sources into a single, trusted BI semantic model that’s easy to understand and use. Enable self-service and data discovery for business users by simplifying the view of data and its underlying structure. Reduce time-to-insights on large and complex datasets. Fast response times mean your BI solution can meet the needs of your business users and keep pace with your business. Connect to real-time operational data using DirectQuery and closely watch the pulse of your business. Visualize your data using your favorite data visualization tool.Starting Price: $0.81 per hour -
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Databao
JetBrains
Databao is an AI-powered agentic analytics platform designed to help organizations connect databases, BI tools, documents, and spreadsheets into a governed semantic layer that enables reliable natural language querying and analytics. The platform allows technical and business users to ask questions in plain language and receive accurate, reproducible answers without relying on manual dashboard creation, SQL writing, or ad-hoc analytics requests. Databao includes open-source tools such as Context Engine, Data Agent, and an Analytics CLI that work together to generate semantic context from enterprise data sources, automate SQL generation, query multiple datasets, clean and visualize data, and orchestrate conversational analytics workflows. The platform supports local deployment within an organization’s environment and integrates with large language models to reduce SQL hallucinations, improve query accuracy, and streamline data workflows.Starting Price: Free -
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Cloudera Data Visualization
Cloudera
Easily create rich, interactive dashboards that accelerate analytical insights across your enterprise. Cloudera Data Visualization enables data engineers, business analysts, and data scientists to quickly and easily explore data, collaborate, and share insights across the data lifecycle—from data ingest to data insights and beyond. Delivered natively as part of Cloudera, Data Visualization delivers a consistent and easy-to-use data visualization experience with intuitive and accessible drag-and-drop dashboards and custom application creation. Data Visualization is fully secured by SDX, enabling augmented data workflows across all your data and analytic workflows. Build predictive applications from ML models served in Cloudera Machine Learning, or leverage your data warehouse to power fast intelligent reporting without moving data or using third-party tools. -
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Integrate analytics into real-time interactions and event-based capabilities. SAS Visual Data Science Decisioning features robust data management, visualization, advanced analytics and model management. It supports decisions by creating, embedding and governing analytically driven decision flows at scale in real-time or batch. It also deploys analytics and decisions in the stream to help you discover insights. Solve complex analytical problems with a comprehensive visual interface that handles all tasks in the analytics life cycle. SAS Visual Data Mining and Machine Learning, which runs in SAS® Viya®, combines data wrangling, exploration, feature engineering, and modern statistical, data mining, and machine learning techniques in a single, scalable in-memory processing environment. Access data files, libraries and existing programs, or write new ones, with this developmental web application accessible through your browser.
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Create, embed and govern analytically driven decision flows at scale in real-time or batch. SAS Data Science Programming enables data scientists who prefer a programmatic-only approach to access SAS analytical capabilities at all stages of the analytics life cycle, including data, discovery and deployment. Visualize and discover relevant relationships in your data. Create and share interactive reports and dashboards, and use self-service analytics to quickly assess probable outcomes for smarter, more data-driven decisions. Explore data and build or adjust predictive analytical models with this solution running in SAS® Viya®. Data scientists, statisticians, and analysts can collaborate and iteratively refine models for each segment or group to make decisions based on accurate insights. Solve complex analytical problems with a comprehensive visual interface that handles all tasks in the analytics life cycle.
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Clear Analytics
Clear Analytics
Integrate directly with your current Excel environment. No migration or training. Create custom dashboards and queries in minutes. Self Service Analytics allows access to data without waiting on IT. IT maintains governance, monitors data utilization behavior, and infrastructure security, allowing focus on improving data quality and delivery. Clear Analytics aggregates data from a variety of sources, then leverages Microsoft’s Power BI features to enable you to wrangle, filter, model, and visualize your insights. Clear Analytics can also publish datasets directly to the Power BI portal. Continue using Excel, but with the added benefit of accessing accurate data on-demand. No more delays searching your email for versions. Elevate all user's productivity by giving them the tools to be their own data analysts and collaborate freely. Increase productivity by granting departments easy yet secure access to company data. Departments don’t wait on analysts. Analysts focus on high-impact work.Starting Price: $39.99 one-time payment -
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GoodData.AI
GoodData.AI
GoodData.AI is an AI-ready analytics platform that helps organizations turn data into actionable insights through business intelligence, embedded analytics, and governed semantic modeling. It enables businesses to build dashboards, AI-powered applications, and intelligent workflows using a composable architecture designed for enterprise environments. The platform provides a centralized semantic layer that ensures consistent business logic across reports, analytics, AI agents, and embedded experiences. GoodData supports cloud and on-premises deployments while integrating with modern data ecosystems and enterprise applications. It also includes AI capabilities for conversational analytics, automation, decision support, and custom agent development. With enterprise-grade security, compliance certifications, and extensive developer tools, GoodData is designed to help organizations modernize their analytics infrastructure for the AI era. -
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The Oracle AI Data Platform unifies the complete data-to-insight lifecycle with embedded artificial intelligence, machine learning, and generative capabilities across data stores, analytics, applications, and infrastructure. It supports everything from data ingestion and governance through to feature engineering, model training, and operationalization, enabling organizations to build trusted AI-driven systems at scale. With its integrated architecture, the platform offers native support for vector search, retrieval-augmented generation, and large language models, while enabling secure, auditable access to business data and analytics across enterprise roles. The platform’s analytics layer lets users explore, visualize, and interpret data with AI-powered assistance, where self-service dashboards, natural-language queries, and generative summaries accelerate decision making.
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Access, explore and prepare data while discovering new trends and patterns. SAS Visual Data Science helps you create and share smart visualizations and interactive reports through a single, self-service interface. It uses machine learning, text analytics and econometrics capabilities for better forecasting and optimization, plus it manages and registers SAS and open-source models within projects or as standalone models. Visualize and discover relevant relationships in your data. Create and share interactive reports and dashboards, and use self-service analytics to quickly assess probable outcomes for smarter, more data-driven decisions. Explore data and build or adjust predictive analytical models with this solution running in SAS® Viya®. Data scientists, statisticians, and analysts can collaborate and iteratively refine models for each segment or group to make decisions based on accurate insights.
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Eficaz
Lera Technologies
Eficaz data warehousing solutions by Lera Technologies creates a centralized data management platform that is instrumental in defining data models, data semantics and profile data, beyond sharing data preparations and datasets. Eficaz DW suite enables Business Intelligence reporting and visualization, thus offering a complete framework to accelerate flexible analytics through daily reports and dashboards.Starting Price: $0 -
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DataBrain
DataBrain Labs, Inc.
DataBrain is an AI-powered embedded analytics platform for modern SaaS companies. It helps product and engineering teams build and embed customer-facing dashboards, reports, metrics, and self-service analytics directly inside their applications without building analytics infrastructure from scratch. With DataBrain, teams can create white-label analytics experiences, embed dashboards using flexible SDKs, APIs, and UI kits, and deliver interactive reporting to customers faster. The platform supports multi-tenant analytics, dashboard customization, governed access controls, semantic layer workflows, and AI-powered analytics for faster insight discovery.Starting Price: $999/month -
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PurpleCube
PurpleCube
Enterprise-grade architecture and cloud data platform powered by Snowflake® to securely store and leverage your data in the cloud. Built-in ETL and drag-and-drop visual workflow designer to connect, clean & transform your data from 250+ data sources. Use the latest in Search and AI-driven technology to generate insights and actionable analytics from your data in seconds. Leverage our AI/ML environments to build, tune and deploy your models for predictive analytics and forecasting. Leverage our built-in AI/ML environments to take your data to the next level. Create, train, tune and deploy your AI models for predictive analysis and forecasting, using the PurpleCube Data Science module. Build BI visualizations with PurpleCube Analytics, search through your data using natural language, and leverage AI-driven insights and smart suggestions that deliver answers to questions you didn’t think to ask. -
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Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow (including data selection, cleansing, exploration, visualization, and processing at scale) from a single visual interface. You can use SQL to select the data you want from a wide variety of data sources and import it quickly. Next, you can use the Data Quality and Insights report to automatically verify data quality and detect anomalies, such as duplicate rows and target leakage. SageMaker Data Wrangler contains over 300 built-in data transformations so you can quickly transform data without writing any code. Once you have completed your data preparation workflow, you can scale it to your full datasets using SageMaker data processing jobs; train, tune, and deploy models.
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Access, manipulate, analyze and present information in visual formats using a powerful combination of SAS technologies. With SAS Visual Machine Learning, you can broaden your analytics with machine learning and deep learning capabilities that are accessible across your organization for better visualization and reporting. Visualize and discover relevant relationships in your data. Create and share interactive reports and dashboards, and use self-service analytics to quickly assess probable outcomes for smarter, more data-driven decisions. Explore data and build or adjust predictive analytical models with this solution running in SAS® Viya®. Data scientists, statisticians, and analysts can collaborate and iteratively refine models for each segment or group to make decisions based on accurate insights. Solve complex analytical problems with a comprehensive visual interface that handles all tasks in the analytics life cycle.
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Rapidminer
Siemens
Rapidminer is an enterprise AI and analytics solution from Siemens that helps organizations unify data preparation, machine learning, knowledge graphs, generative AI, and agentic AI. It connects siloed data with business context so companies can build, govern, and scale trusted AI solutions. The platform helps organizations uncover hidden insights, modernize existing systems, and automate analytics workflows. Rapidminer can activate dark data from reports and PDFs, support existing SAS language code, and resolve complex questions through unified knowledge graphs. It also provides visual drag-and-drop tools for explainable AI, AutoML, self-service data preparation, and real-time data visualization. With capabilities for AI agents, semantic data modeling, and enterprise automation, Rapidminer helps businesses turn complex data into strategic decisions.Starting Price: Free -
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Marketscience Studio
Marketscience
Our Marketing Analytics and optimization software provides a modern, integrated environment for advanced marketing investment analytics. In the data visualization module, users, including those without advanced analytic skills, can examine and understand the sets of visuals and statistics needed to both verify the data and form initial insights and hypotheses on what's driving demand. The core Modeling module provides a comprehensive user interface (UI) for specifying a range of dynamic linear panel models at all levels of the client business. User-specified model structures are integrated with the model database to perform any required variable transformation which is then transferred to the proprietary model estimation algorithm housed within the OxMetrics analytics package. -
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Strategy Mosaic
Strategy Software
Strategy Mosaic is an AI-powered universal semantic data layer and analytics foundation that sits on top of an organization’s existing data systems to unify, govern, and accelerate access to business data for analytics, AI, and reporting without costly restructuring. It creates a single source of truth with consistent business definitions, metrics, and security policies across tools and sources, harmonizing data from hundreds of systems so insights are reliable and comparable everywhere. Built with AI-assisted data modeling (Mosaic Studio), Mosaic automates data preparation, cleansing, enrichment, and modeling, reducing the time and effort needed to build robust data products and semantic models. Its universal connectors let users access governed data via SQL, REST, Python, or through popular BI and productivity tools like Power BI, Tableau, Excel, and Google Sheets, while an in-memory acceleration engine delivers fast query performance across diverse sources. -
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Anzo
Cambridge Semantics
Anzo is a modern data discovery and integration platform that lets anyone find, connect and blend any enterprise data into analytics-ready datasets. Anzo’s unique use of semantics and graph data models makes it practical for the first time for virtually anyone in your organization – from skilled data scientists to novice business users – to drive the data discovery and integration process and build their own analytics-ready datasets. Anzo’s graph data models provide business users with a visual map of enterprise data that is easy to understand and navigate, even when your data is vast, siloed and complex. Semantics add business content to data, allowing users to harmonize data based on shared definitions and build blended, business-ready data on demand. -
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Papermap
Papermap
Papermap is an AI-native data analytics platform designed to help teams collect, process, analyze, and visualize business data without the complexity of traditional BI tools. It enables users to connect data sources such as databases, spreadsheets, and third-party platforms, and automatically builds data pipelines and dashboards in seconds, allowing teams to start analyzing information immediately. It emphasizes real-time data processing, giving users access to up-to-date insights as data arrives, and supports advanced analytics that scale from simple dashboards to more complex data modeling. Through its conversational AI interface, users can ask questions in plain English and receive instant answers, charts, and insights, eliminating the need for SQL queries or technical expertise. Papermap also includes an AI command center that generates visualizations, uncovers trends, and helps identify anomalies, correlations, and opportunities directly from raw data.Starting Price: $19 per month -
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AWS HealthLake
Amazon
Extract meaning from unstructured data with integrated Amazon Comprehend Medical for easy search and querying. Make predictions on health data using Amazon Athena queries, Amazon SageMaker ML models, and Amazon QuickSight analytics. Support interoperable standards such as the Fast Healthcare Interoperability Resources (FHIR). Run medical imaging applications in the cloud to increase scale and reduce costs. AWS HealthLake is a HIPAA-eligible service offering healthcare and life sciences companies a chronological view of individual or patient population health data for query and analytics at scale. Analyze population health trends, predict outcomes, and manage costs with advanced analytics tools and ML models. Identify opportunities to close gaps in care and deliver targeted interventions with a longitudinal view of patient journeys. Apply advanced analytics and ML to newly structured data to optimize appointment scheduling and reduce unnecessary procedures. -
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QuickLaunch Analytics
QuickLaunch Analytics
QuickLaunch Analytics is an enterprise data analytics platform that helps organizations turn fragmented data from ERP, CRM, financial, HR and operational systems into a unified, governed analytics ecosystem with faster, business-ready insights; rather than building analytics infrastructure from scratch, it provides a Foundation Pack that includes automated data pipelines, a cloud-native data lakehouse and Power BI semantic models so raw enterprise data can be integrated, cleaned, and governed for analytics, and Application Packs that layer pre-built, application-specific intelligence and production-ready semantic models tailored to systems like JD Edwards, Viewpoint Vista, NetSuite, Salesforce and others to decode complex data structures into business-friendly metrics and dashboards; the platform accelerates time-to-insight from months/years to weeks with standardized metrics and reports, supports cross-application analysis and self-service BI, and uses modern technologies. -
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Rapidminer Knowledge Studio
Siemens
Rapidminer Knowledge Studio is a no-code machine learning and predictive analytics solution from Siemens designed for data scientists, business analysts, and business users. It helps users create predictive and prescriptive models through an interactive visual interface without requiring programming skills. The platform uses explainable decision trees and strategy trees to make machine learning models easier to understand, trust, and manage. Users can build drag-and-drop workflows, connect to diverse data sources, and generate actionable insights from business data. Rapidminer Knowledge Studio supports use cases such as credit risk, fraud detection, marketing analytics, product lifecycle planning, and customer loyalty programs. With model code generation in Python, R, SAS, SQL, PMML, and more, it helps organizations move from visual model design to practical implementation. -
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DarkStax
DarkStax
DarkStax™ platform provides flexible and easily extensible features to create digital twins of the military, industrial, or enterprise systems. It supports the integration of customer-defined, operational data-derived, and virtualization-based models into a scalable system-of-systems representative environment in cloud/on-premises computational infrastructure. DarkStax™ enables cyber-physical system modeling and cyber wargame emulation over digital twins. DarkStax™ enables the creation or incorporation of existing digital models to track the system throughout its life cycle. DarkStax™ platform provides a cost-effective environment to incorporate and assess emerging technologies and business models. DarkStax engine accelerates processes and improves data quality, analytics insights, and AI/ML models. It supports automated, process-oriented methodology used by analytic and data teams. It includes visualization web services that provide a wide array of visualization options. -
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Stardog
Stardog Union
With ready access to the richest flexible semantic layer, explainable AI, and reusable data modeling, data engineers and scientists can be 95% more productive — create and expand semantic data models, understand any data interrelationship, and run federated queries to speed time to insight. Stardog offers the most advanced graph data virtualization and high-performance graph database — up to 57x better price/performance — to connect any data lakehouse, warehouse or enterprise data source without moving or copying data. Scale use cases and users at lower infrastructure cost. Stardog’s inference engine intelligently applies expert knowledge dynamically at query time to uncover hidden patterns or unexpected insights in relationships that enable better data-informed decisions and business outcomes.Starting Price: $0 -
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Patentics
Patentics
Patentics is an AI-driven patent intelligence platform that combines third-generation semantic search, high-fidelity translation, deep data processing, and automated analysis to help users uncover, evaluate, and visualize global patent information. Leveraging a model trained on tens of millions of data points, Patentics' semantic engine interprets patent text, expands related expressions, auto-classifies IPC codes, and surfaces the most relevant prior art, even identifying documents that threaten novelty or inventiveness. It ingests and normalizes data from 160+ national and regional patent offices and over 130 analytical fields, enriching dossiers with family, citation, transaction, and legal-status metadata. Native Chinese-to-English and English-to-Chinese neural translation lets users search and browse foreign patents in their preferred language. Built-in operators, visual query flows, and clustering tools support multi-dimensional filtering, grouping, and mapping. -
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Corpus-X
Corpus-X
Dive deep into your data with custom AI chatbots and analytics. Corpus-X provides advanced AI-driven solutions, including AI chat applications and VizGPT for dynamic data visualization and analytics. Whether it's semantic searches, chatbots tailored to your docs, or extracting insights from CSV data, we've got you covered. VizGPT is designed for seamless data visualization. Simply upload your CSV data, and the tool will assist you in generating insightful graphs and answering data-related queries, all powered by AI. Absolutely! VizGPT is designed for easy integration into various platforms, ensuring you can visualize and query your data wherever you need it. From website docs, Notion pages, PDFs, CSVs to Slack data, we support a wide array of data sources, ensuring your chatbot is comprehensively trained for optimal performance. Our chatbots are crafted for instantaneous interactions, ensuring users receive prompt and accurate information, and enhancing their experience. -
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Cube
Cube Dev
Cube is a platform that provides a universal semantic layer to simplify and unify enterprise data management and analytics. By transforming how data is managed, Cube eliminates the need for inconsistent models and metrics, delivering trusted data to users while making it AI-ready. This platform helps organizations scale their data infrastructure by integrating disparate data sources and creating consistent metrics that can be used across teams. Cube is designed for enterprises looking to enhance their analytics capabilities, make their data accessible, and power AI-driven insights with ease. -
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With SAS Visual Statistics, multiple users can explore data, then interactively create and refine predictive models. Your data scientists and statisticians can act on observations at a granular level using the most appropriate analytical modeling techniques. The result? You'll unearth insights at unprecedented speeds, and find new ways to grow revenue. Easily build and refine models to target specific groups or segments, and run numerous scenarios simultaneously. You can ask more what-if questions to get better results. And put results into action with an automatically generated score code. Empower multiple users to interact with data visually – to add or change variables, remove outliers, etc. Instantly see how changes affect your model's predictive power, and make refinements quickly. Data science teams have the ultimate flexibility of working in their language of choice, so they can use their skills to the fullest. SAS Visual Statistics unites all analytical assets.
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Geospiza PATH
Geospiza
Geospiza PATH™ is an intuitive climate risk assessment platform that enables risk managers, sustainability teams, operation departments, and asset managers to quantify and take action to reduce climate and natural hazard risks. PATH™ visualizes asset risk to a variety of hazards including flood, heat, drought, hurricane & cyclone, and wildfire – and evaluates the costs and benefits of potential actions. Geospiza models real-time climate change data, allowing you to quickly move from costly unknowns into measurable action. Apply climate change analytics and disaster modeling to structures, people, investments, strategic regions–on a map. Engage the best climate risk models to understand the hazard and climate risks facing business. Apply climate change analytics and disaster modeling to structures, people, investments, and strategic regions. After evaluating your risk, create a strategy for mitigating risk, enhancing resilience, and adapting to the consequences of climate change. -
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Quick BI
Alibaba Cloud
Delivering analytic capabilities once reserved for professional analysts, Quick BI allows you to perform data analytics, exploration and reporting on mass data with drag-and-drop features and a rich variety of visuals. Quick BI enables users to perform data analytics, exploration, and reporting and empowers enterprise users to view and explore data and make informed, data-driven decisions. Supports multiple data sources, such as ApsaraDB for RDS, AnalyticDB, MaxCompute, MySQL, SQL Server, and local files. Provides drag-and-drop operations, powerful data modeling, and data visualization to help you build data portals quickly. You can embed the Quick BI dashboard into your own third-party systems and use it to view the reports and charts directly. You can set the access permissions for individual rows so that the same report is displayed differently for each user role. -
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IBM SPSS Modeler
IBM
IBM SPSS Modeler is a leading visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations worldwide use it for data preparation and discovery, predictive analytics, model management and deployment, and ML to monetize data assets. IBM SPSS Modeler automatically transforms data into the best format for the most accurate predictive modeling. It now only takes a few clicks for you to analyze data, identify fixes, screen out fields and derive new attributes. Leverage IBM SPSS Modeler’s powerful graphics engine to bring your insights to life. The smart chart recommender finds the perfect chart for your data from among dozens of options, so you can share your insights quickly and easily using compelling visualizations. -
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SmartWorldPro
Cityzenith
Professionals who design, build and manage complex, large-scale building projects, properties and real estate portfolios value the way SmartWorldPro makes data aggregation, visualization, query and analysis easy and fun. View all data and systems—including design, parcel information, legal, financial, leasing, work orders, energy, maintenance, security, and transaction records—in one place. Simplified data surfacing. SmartWorldPro provides users access to over one billion curated, geo-tagged urban context data layers—including open city data, paid information services, and IoT data. Annotation tools allow users to quickly and conveniently tag objects in a model with information from a variety of sources. Icons make it easy to distinguish different objects and create custom reports. This is where SmartWorldPro comes to life. Users choose from a variety of visualization tools, including color palettes, preset objects and base maps, to custom render scenes to their own liking. -
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Oracle Essbase
Oracle
Drive smarter decisions with the ability to easily test and model complex business assumptions in the cloud or on-premises. Oracle Essbase gives organizations the power to rapidly generate insights from multidimensional data sets using what-if analysis, and data visualization tools. Quickly and easily forecast company and departmental performance. Develop and manage analytic applications by using business drivers to model multiple what-if scenarios. Manage workflow for multiple scenarios within a single user interface for centralized submissions and approvals. With sandboxing capabilities, quickly test and evaluate your models to determine the most appropriate model for production. Financial and business analysts can use more than 100 prebuilt, out-of-the-box mathematical functions that can be easily applied to derive new data. -
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Data V
Skillmine Technology Consulting Pvt Ltd
DataV is an advanced analytics and visualization platform designed to help organizations transform raw data into actionable insights via static as well as dynamic visualizations. It enables data-driven decision-making through powerful data modeling, AI-assisted analytics, and dynamic visualization dashboards. With seamless data integration, automated reporting, predictive insights, and collaborative features, DataV empowers businesses to monitor performance, identify trends, and make informed strategic decisions all from a single, unified interface. -
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Visyond
Visyond
Automate What-if analysis, Scenarios and Monte Carlo Simulations. Visualize your spreadsheets as interactive dashboards for forecasting and What-if analysis. Get ready-to-present What-if, Scenario, and Risk analysis reports with a few clicks. If your model’s structure or data changes – just re-run the analysis to keep it up-to-date. Create impactful presentations of your analyses and turn them into interactive ‘what-if’ calculators where viewers can play with the numbers and visualize their own forecasts (powered by your spreadsheet’s formulas). We use security best practices for our cloud offering that works in a browser. For complete control - you can get Visyond on-premise or white-label it. We put your Excel model, its formulas and interface in the cloud, automating workflows that would be difficult to achieve otherwise, while keeping things familiar. -
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OnPoint CORTEX
OnPoint - A Koch Engineered Solutions Company
OnPoint’s CORTEX™ is our advanced analytics platform that leverages historical data along with your process engineers’ expertise to drive profits by increasing operational efficiencies such as increased production and decreased downtime. In comparison to simple regression or statistical approaches, CORTEX combines machine learning with high compute power to enable models to learn from your complex process data. Load your data as-is and CORTEX will clean it. impute missing values and handle categorical variables. Visualize and remove outliers. Add rows and columns to your data and learn what variables are important to the process. CORTEX's proprietary algorithm eliminates the need for you to hunt for the best model. MaGE builds a variety of models in the platform plus an optimized, ensemble model. Then it provides scores for all of them. -
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Xurmo
Xurmo
Even the best prepared data-driven organizations are challenged by the growing volume, velocity and variety of data. As expectations from analytics grow, infrastructure, time and people resources become increasingly limited. Xurmo addresses these limitations with an easy-to-use, self-service product. Configure and ingest any & all data from one single interface. Xurmo will consume structured or unstructured data of any kind and automatically bring it to analysis. Let Xurmo take on the heavy lifting and help you configure intelligence. From building analytical models to deploying them in automation mode, Xurmo supports interactively. Automate intelligence from even complex, dynamically changing data. Analytical models built on Xurmo can be configured and deployed in automation mode across data environments. -
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AnalyticDB
Alibaba Cloud
AnalyticDB for MySQL is a high-performance data warehousing service that is secure, stable, and easy to use. It allows you to easily create online statistical reports, multidimensional analysis solutions, and real-time data warehouses. AnalyticDB for MySQL uses a distributed computing architecture that enables it to use the elastic scaling capability of the cloud to compute tens of billions of data records in real time. AnalyticDB for MySQL stores data based on relational models and can use SQL to flexibly compute and analyze data. AnalyticDB for MySQL also allows you to easily manage databases, scale in or out nodes, and scale up or down instances. It provides various visualization and ETL tools to make enterprise data processing easier. Provides instant multidimensional analysis and can explore large amounts of data in milliseconds.Starting Price: $0.248 per hour -
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BizAcuity
BizAcuity
A state of the art analytics accelerator platform which helps in industry leading insights. Faster go to market with plug and play predictive models and insightful dashboards to cover all your gaming needs. assessment of current BI environments, business intelligence strategy & road map, business intelligence solution modelling. analyze & define key business variables, apply statistical modeling techniques relevant to business problem, optimize models for better results. Review issues & understand business objectives with data sourcing, integration, & reporting, define the approach for big data technology integration with legacy systems. On-premise CRM migration to cloud, on-data warehouse to cloud, cloud based visual analytics. In the financial services industry, the stakeholders such as investors, dealers, rating agencies, and insurance providers have long understood the benefits of having the ability to analyze large and complex data for critical decision making. -
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Adobe Analytics
Adobe
Adobe Analytics is a comprehensive customer analytics solution that unifies data, content, and journeys to deliver deep insights into customer behavior across channels and devices. Built to support marketing, product, and business teams, it centralizes data collection, processing, analysis, and reporting within a single system. With solutions like Customer Journey Analytics, Digital Analytics, Content Analytics, and Product Analytics, organizations can connect identities and interactions across touchpoints for holistic analysis. Advanced segmentation, flexible attribution modeling, and cross-channel journey visualization empower teams to make data-driven decisions faster. AI-powered capabilities enhance content performance measurement and product experience optimization. Native integration with Adobe Experience Platform ensures consistent data governance and enterprise-grade scalability. Adobe Analytics helps organizations turn complex data into actionable insights that drive growth, o -
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Baidu Palo
Baidu AI Cloud
Palo helps enterprises to create the PB-level MPP architecture data warehouse service within several minutes and import the massive data from RDS, BOS, and BMR. Thus, Palo can perform the multi-dimensional analytics of big data. Palo is compatible with mainstream BI tools. Data analysts can analyze and display the data visually and gain insights quickly to assist decision-making. It has the industry-leading MPP query engine, with column storage, intelligent index,and vector execution functions. It can also provide in-library analytics, window functions, and other advanced analytics functions. You can create a materialized view and change the table structure without the suspension of service. It supports flexible and efficient data recovery. -
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Brewit
Brewit
Make data-driven decisions 10x faster with self-service analytics. Integrate with your databases and data warehouses all-in-one place (Postgres, MySQL, Snowflake, BigQuery, and more). Brewit can write SQL queries and create recommended charts based on your data questions. It also helps you drill down on the analysis. Chat with your database, visualize insights, & perform analysis. Ensure answer accuracy and consistency with a built-in data catalog. An automated semantic layer that ensures Brewit answers with correct business logic. Easily manage your data catalog & data dictionary. Building a beautiful report is as easy as writing a doc. Data without a story is useless. Our Notion-style notebook editor allows you to create reports & dashboards easily, turning raw data into actionable insights. All organized data products are usable by anyone who has a data question, regardless of their technical skills. -
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Solid
Solid
Solid is an AI-powered data intelligence platform designed to make enterprise data reliable and ready for use across AI, analytics, and “chat with your data” experiences. It automatically discovers, documents, and builds business-aware semantic models from a company’s existing data, queries, and tools, creating a consistent foundation that AI systems can trust. It analyzes how data is actually used within the organization and generates validated tables, metrics, relationships, and SQL logic aligned with real business definitions. Through products such as Solid Build and Solid Analyze, teams can automate semantic modeling, translate natural-language questions into production-ready SQL, and keep models continuously updated as data changes. It emphasizes transparency and human oversight, allowing data teams to review, edit, and validate AI-generated models rather than relying on opaque automation. -
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Amazon SageMaker Studio
Amazon
Amazon SageMaker Studio is an integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all machine learning (ML) development steps, from preparing data to building, training, and deploying your ML models, improving data science team productivity by up to 10x. You can quickly upload data, create new notebooks, train and tune models, move back and forth between steps to adjust experiments, collaborate seamlessly within your organization, and deploy models to production without leaving SageMaker Studio. Perform all ML development steps, from preparing raw data to deploying and monitoring ML models, with access to the most comprehensive set of tools in a single web-based visual interface. Amazon SageMaker Unified Studio is a comprehensive, AI and data development environment designed to streamline workflows and simplify the process of building and deploying machine learning models. -
49
XcelPros BI
XcelPros
Power BI is Microsoft's powerful business analytics service that delivers insights to enable fast, informed decisions. Transform data into stunning visuals and share them with colleagues on any device. Visually explore and analyze data on premises and in the cloud, all in one view. Collaborate on and share customized dashboards and interactive reports. Scale across your organization with built-in governance and security. Meet your self-service and enterprise analytics needs with one of the largest business intelligence clouds in the world. Explore how industry-leading AI and continuous user-driven innovation help you turn data into insights across your organization at scale. Quickly go from data to insight to action. Connect to hundreds of sources, prep data with ease, and create beautiful reports, all in minutes. Simplify management, achieve compliance, and keep data secure while giving people access to the insights they need. -
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Connect data with business context and empower business users to unlock insights with our unified data and analytics cloud solution. SAP Data Warehouse Cloud unifies data and analytics in a cloud solution that includes data integration, database, data warehouse, and analytics capabilities to help you unleash the data-driven enterprise. Built on the SAP HANA Cloud database, this software-as-a-service (SaaS) empowers you to better understand your business data and make confident decisions based on real-time information. Connect data across multi-cloud and on-premises repositories in real-time while preserving the business context. Get insights on real-time data and analyze data with in-memory speed, powered by SAP HANA Cloud. Empower all users with self-service ability to connect, model, visualize and share their data securely, all in an IT governed environment. Leverage pre-built industry and LOB content, templates and data models.
