Alternatives to TextQL

dbt Labs is redefining how data teams work with SQL. Instead of waiting on complex ETL processes, dbt lets data analysts and data engineers build production-ready transformations directly in the warehouse, using code, version control, and CI/CD. This community-driven approach puts power back in the hands of practitioners while maintaining governance and scalability for enterprise use. With a rapidly growing open-source community and an enterprise-grade cloud platform, dbt is at the heart of the modern data stack. It’s the go-to solution for teams who want faster analytics, higher quality data, and the confidence that comes from transparent, testable transformations.

Beye is an innovative generative business intelligence platform designed to rapidly process and cleanse raw data from various sources like spreadsheets, ERPs, and cloud applications, creating cohesive and AI-enhanced data environments in a matter of weeks instead of months. Its generative BI agent automatically constructs your initial data model and introductory dashboards tailored to your specific needs, utilizing metadata, semantic layers, and measures while eliminating the need for manual data preparation. Users at all levels, from business personnel to executives, can pose inquiries in straightforward English without requiring knowledge of SQL or navigating complex dashboards, gaining immediate access to detailed analytics, contextual insights, and explanations of underlying causes with verifiable queries. Furthermore, Beye integrates flawlessly with platforms such as SAP, Snowflake, Salesforce, and NetSuite, among more than 50 other data sources, enabling collaborative features and personalized metrics while ensuring the reliability of responses through AI-powered workflows. Ultimately, Beye empowers organizations to make data-driven decisions more efficiently and confidently.

Codd AI addresses a major challenge in the analytics landscape: transforming data into a format that is genuinely suitable for business purposes. Rather than having teams dedicate weeks to the tedious tasks of manually mapping schemas, constructing models, and establishing metrics, Codd leverages generative AI to automatically generate a context-aware semantic layer that connects technical data with the language of the business. As a result, business users can pose inquiries in straightforward English and receive precise, governed responses instantly—whether through BI tools, conversational AI, or various other platforms. Additionally, with built-in governance and auditability, Codd not only accelerates the analytics process but also enhances clarity and reliability. Ultimately, this innovative approach empowers organizations to make more informed decisions based on trustworthy data insights.

Kater is designed specifically for both data experts and those curious about data. It ensures that all structured data products are readily accessible to anyone with a query, even if they have no experience with SQL. Kater's mission is to unify data ownership across various departments within your organization. Meanwhile, Butler securely interfaces with your data warehouse's metadata and elements, facilitating coding, data exploration, and much more. Enhance your data for artificial intelligence through features like automatic intelligent labeling, categorization, and data curation. Our services assist you in establishing your semantic layer, metric layer, and comprehensive documentation. Additionally, validated responses are compiled in the query bank to deliver smarter and more precise answers, enhancing the overall data experience. This holistic approach empowers users to leverage data more effectively across all business functions.

Accelerate your data-driven decision-making by tenfold with self-service analytics that seamlessly integrates your databases and data warehouses in a single platform, including options like Postgres, MySQL, Snowflake, and BigQuery. Brewit simplifies the process by generating SQL queries and suggesting charts based on your specific data inquiries, while also allowing in-depth analysis. Engage in a conversation with your database, visualize findings, and conduct thorough analyses. With a built-in data catalog, you can guarantee the accuracy and reliability of your answers. An automated semantic layer ensures that Brewit applies the correct business logic in its responses. Managing your data catalog and data dictionary is straightforward, and creating an attractive report is as simple as crafting a document. A narrative brings your data to life, and our Notion-style notebook editor lets you effortlessly compile reports and dashboards, transforming raw data into valuable insights. Furthermore, all organized data products are accessible to anyone with a data-related query, making it easy for users of all technical backgrounds to engage with the information. In this way, Brewit democratizes data accessibility and empowers all users to utilize insights effectively.

Dremio provides lightning-fast queries as well as a self-service semantic layer directly to your data lake storage. No data moving to proprietary data warehouses, and no cubes, aggregation tables, or extracts. Data architects have flexibility and control, while data consumers have self-service. Apache Arrow and Dremio technologies such as Data Reflections, Columnar Cloud Cache(C3), and Predictive Pipelining combine to make it easy to query your data lake storage. An abstraction layer allows IT to apply security and business meaning while allowing analysts and data scientists access data to explore it and create new virtual datasets. Dremio's semantic layers is an integrated searchable catalog that indexes all your metadata so business users can make sense of your data. The semantic layer is made up of virtual datasets and spaces, which are all searchable and indexed.

Phoenix serves as a comprehensive open-source observability toolkit tailored for experimentation, evaluation, and troubleshooting purposes. It empowers AI engineers and data scientists to swiftly visualize their datasets, assess performance metrics, identify problems, and export relevant data for enhancements. Developed by Arize AI, the creators of a leading AI observability platform, alongside a dedicated group of core contributors, Phoenix is compatible with OpenTelemetry and OpenInference instrumentation standards. The primary package is known as arize-phoenix, and several auxiliary packages cater to specialized applications. Furthermore, our semantic layer enhances LLM telemetry within OpenTelemetry, facilitating the automatic instrumentation of widely-used packages. This versatile library supports tracing for AI applications, allowing for both manual instrumentation and seamless integrations with tools like LlamaIndex, Langchain, and OpenAI. By employing LLM tracing, Phoenix meticulously logs the routes taken by requests as they navigate through various stages or components of an LLM application, thus providing a clearer understanding of system performance and potential bottlenecks. Ultimately, Phoenix aims to streamline the development process, enabling users to maximize the efficiency and reliability of their AI solutions.

Personalized data insights and proactive nudges are tailored for every user based on their unique usage patterns, employing automated heuristic guidelines, updated data, and learnings from user cohorts. The semantic framework is specifically adjusted to align with the unique terminologies and nomenclatures used by different organizations. While generating responses, the individual roles and preferences of users are taken into account, ensuring relevance and utility. Advanced modules are designed to address various scenarios such as how, why, and so what, providing comprehensive insights. A single subscription caters to the entire organization, effectively driving the movement towards data democratization. Beagle serves as your dedicated data assistant, providing timely updates and alerts directly to your message inbox. With its integrated self-service features, Beagle significantly lowers the total cost of ownership for organizations. Moreover, it seamlessly integrates with other dashboards, thereby amplifying their functionality and expanding their influence within the organization. This collaborative approach fosters a culture of data-driven decision-making throughout the team.

MetaCenter allows both business and technology departments to systematically organize and categorize the information resources of an organization. Through this platform, users can independently inquire about their data assets and understand the movement of data within the business, as well as determine the appropriate usage classifications. This capability helps organizations minimize expenses while enhancing flexibility and mitigating operational risks. The search-based semantic layer facilitates the automatic cross-referencing of models. Additionally, tailored Faceted Views for specific data assets can be made accessible to distinct roles within the organization. The lower total cost of ownership combined with increased automation results in a superior return on investment when compared to rival solutions. Moreover, the intuitive, GUI-driven customization allows for quick application adaptations without the need for programming expertise or professional services, making it highly user-friendly. Ultimately, this empowers teams to respond swiftly to changing business needs and enhances overall productivity.

Connecting every data source with analytics services on a single AI-powered platform will transform how people access, manage, and act on data and insights. All your data. All your teams. All your teams in one place. Create an open, lake-centric hub to help data engineers connect data from various sources and curate it. This will eliminate sprawl and create custom views for all. Accelerate analysis through the development of AI models without moving data. This reduces the time needed by data scientists to deliver value. Microsoft Teams, Microsoft Excel, and Microsoft Teams are all great tools to help your team innovate faster. Connect people and data responsibly with an open, scalable solution. This solution gives data stewards more control, thanks to its built-in security, compliance, and governance.

The intelligent semantic layer merges data with its business context and interconnections, consolidates metrics, and speeds up the production of data products by allowing for SQL queries that are 90% shorter. Users can easily model the data using familiar business terminology, creating a shared understanding and aligning the metrics with business objectives. By defining semantic relationships that replace traditional JOIN operations, queries become significantly more straightforward. Hierarchies and classifications are utilized to enhance data comprehension. The system automatically aligns data with the semantic model, enabling the integration of various data sources through a robust distributed SQL engine that supports large-scale querying. Data can be accessed as an interconnected semantic graph, improving performance while reducing computing expenses through an advanced caching engine and materialized views. Users gain from sophisticated query optimization techniques. Additionally, Timbr allows connectivity to a wide range of cloud services, data lakes, data warehouses, databases, and diverse file formats, ensuring a seamless experience with your data sources. When executing a query, Timbr not only optimizes it but also efficiently delegates the task to the backend for improved processing. This comprehensive approach ensures that users can work with their data more effectively and with greater agility.

CData's artificial intelligence solution revolves around Connect AI, which offers AI-enhanced connectivity features that enable real-time, governed access to enterprise data without transferring it from the original systems. Connect AI operates on a managed Model Context Protocol (MCP) platform, allowing AI assistants, agents, copilots, and embedded AI applications to directly access and query over 300 data sources, including CRM, ERP, databases, and APIs, while fully comprehending the semantics and relationships of the data. The platform guarantees the enforcement of source system authentication, adheres to existing role-based permissions, and ensures that AI operations—both reading and writing—comply with governance and auditing standards. Furthermore, it facilitates capabilities such as query pushdown, parallel paging, bulk read/write functions, and streaming for extensive datasets, in addition to enabling cross-source reasoning through a cohesive semantic layer. Moreover, CData's "Talk to your Data" feature synergizes with its Virtuality offering, permitting users to engage in conversational interactions to retrieve BI insights and generate reports efficiently. This integration not only enhances user experience but also streamlines data accessibility across the enterprise.

Cube serves as a comprehensive platform that establishes a universal semantic layer aimed at streamlining and consolidating the management and analysis of enterprise data. By revolutionizing data management practices, Cube removes the challenges associated with inconsistent models and metrics, thereby providing users with reliable data that is also primed for AI applications. This innovative platform is instrumental for organizations seeking to expand their data infrastructure by harmonizing various data sources and generating uniform metrics applicable across different teams. Tailored for enterprises, Cube enhances analytical capabilities, ensures data accessibility, and facilitates effortless access to AI-driven insights. With Cube, companies can navigate the complexities of data management more effectively than ever before.

DataGalaxy is redefining how organizations govern and activate their data through a single, collaborative platform built for both business and technical teams. Its data and analytics governance solution provides the visibility, control, and alignment needed to transform data into a true business asset. The platform unites automated data cataloging, AI-driven lineage, and value-based prioritization to ensure every initiative is intentional and measurable. With features like the strategy cockpit and value tracking center, organizations can connect business objectives to actionable data outcomes and monitor ROI in real time. Over 70 native connectors integrate seamlessly with tools like Snowflake, Azure Synapse, Databricks, Power BI, and HubSpot, breaking down data silos across hybrid environments. DataGalaxy also embeds AI-powered assistants and compliance automation for frameworks like GDPR, HIPAA, and SOC 2, making governance intuitive and secure. Trusted by global enterprises including Airbus and Bank of China, the platform is both scalable and enterprise-ready. By blending data discovery, collaboration, and security, DataGalaxy helps organizations move from reactive governance to proactive value creation.

Enable your data team to concentrate on what truly matters. Instantly provide answers to on-the-spot inquiries from business stakeholders. Stakeholders receive immediate responses to their questions. Non-technical users can directly pose questions in Slack or Teams, and the Data Analyst Language Model (DaLM) delivers the answers swiftly. This approach minimizes the time wasted on ad-hoc inquiries, allowing for a sharper focus on analyses that contribute to revenue enhancement. By empowering analysts to prioritize critical tasks, you enhance overall productivity. Simply access a file containing previous queries to kick things off. DaLM assimilates the business logic inherent in these queries and continually refines its performance as analysts engage more with the Integrated Development Environment (IDE). Initiate the process in just five minutes, regardless of your database's size or complexity. We ensure that no data is tracked, and your database's actual content remains within your environment. While the schema and query code are shared with the model, no real data is transmitted, and any personally identifiable information (PII) within the query code is adequately masked. This guarantees not only efficiency but also the utmost security and privacy for your data.

SAP Business Data Cloud serves as a comprehensive managed SaaS solution that integrates and governs all data from SAP while effortlessly linking to external data sources, thus equipping business leaders with essential context for making significant decisions. This platform features critical data products that ensure access to SAP information across vital business operations in a well-regulated and contextual manner, which helps to mitigate the significant expenses tied to data extraction and duplication. As a premier data platform, it facilitates the seamless integration of all SAP and external data in partnership with Databricks, offering robust insight applications that enhance advanced analytics and strategic planning across multiple business sectors. By synchronizing all essential data within a collaborative open data environment and utilizing a strong semantic layer, SAP Business Data Cloud delivers exceptional business insights. Additionally, this system not only enhances decision-making but also drives innovation by making advanced data capabilities accessible to various departments.

Data engineers and scientists can be 95% better at their jobs with ready access to the most flexible semantic layer, explainable AI and reusable data modelling. They can create and expand semantic models, understand data interrelationships, and run federated query to speed up time to insight. Stardog's graph data virtualization and high performance graph database are the best available -- at a price that is up to 57x less than competitors -- to connect any data source, warehouse, or enterprise data lakehouse without copying or moving data. Scale users and use cases at a lower infrastructure cost. Stardog's intelligent inference engine applies expert knowledge dynamically at query times to uncover hidden patterns and unexpected insights in relationships that lead to better data-informed business decisions and outcomes.

Through our semantic layer and sophisticated data enrichment everyone becomes an expert sourcing specialist. We find what you mean, not just what you type, making it easy to discover the best talent or jobs. Plus, our powerful matching engine, integrated into your ATS, CRM, Internal Mobility or Talent Management platform, automatically transforms a job posting or candidate into a comprehensive search query providing results with a shortlist of promising candidates or jobs. Our matching accuracy is the game-changer as it provides results you can rely on!

Seamlessly integrate financial information, customer insights, and third-party applications into our cohesive platform with minimal setup needed. This streamlined process allows for effortless monitoring and analysis of your business metrics, fostering well-informed decision-making and promoting growth. Our semantic layer enhances the clarity of your data, making it easily interpretable for users within the business. You will gain an all-encompassing perspective on your organization's performance, allowing you to pinpoint areas that require enhancement and improve operational efficiency. Discover trends in expenses, revenue sources, and cash flow patterns to develop a thorough understanding of your financial situation. Gain insights into customer behavior by analyzing purchasing trends and payment cycles. Moreover, keep track of essential indicators to evaluate your startup's journey and make strategic adjustments based on data insights, ultimately leading to more effective business practices. By harnessing this comprehensive data analysis, you can create a stronger foundation for future growth and success.

Empower your organization to independently access data insights through AI with Fluent, your intelligent data analyst that facilitates the exploration of data and helps identify critical questions. Forget about complicated interfaces and lengthy training periods; simply enter your query and let Fluent handle the rest. This tool collaborates with you to refine your inquiries, ensuring you receive the insights necessary for informed decision-making. By leveraging Fluent, you can discover the essential questions that lead to deeper understanding and utilization of your data. It fosters a collective comprehension of data among team members, promoting real-time collaboration and maintaining a unified data dictionary. Say goodbye to data silos, confusion, and disputes over revenue definitions. Fluent seamlessly integrates with platforms like Slack and Teams, allowing you to access data insights directly within your communication channels. Additionally, it provides transparent outputs showcasing the specific SQL paths and AI reasoning behind each query, fostering trust in the results. You can also create customized datasets accompanied by comprehensive usage guidelines and robust quality control measures, further reinforcing data integrity and effective access management. Overall, Fluent not only streamlines data accessibility but also enhances organizational coherence and decision-making capabilities.

Dot serves as an AI-driven data analyst, seamlessly linking to your data warehouse and empowering users to pose questions in natural language for immediate, reliable insights. It functions across platforms like Slack, Teams, or through a dedicated web application to facilitate on-demand data retrieval, visualizations, root-cause analyses, and weekly business summaries that come with actionable suggestions. By leveraging existing business intelligence tools, dbt metrics, LookML, SQL queries, and documentation, GetDot.ai guarantees consistent and governed responses supported by role-specific permissions and row-level security measures. The setup process is entirely code-free, featuring one-click integrations for popular SQL-based sources including Snowflake, BigQuery, Redshift, and PostgreSQL. Its continuous monitoring feature reveals previously unknown insights, while a specialized training and governance workspace allows you to fine-tune its functionality and uphold accuracy. Built for efficiency and ease of use, Dot eliminates the clutter of multiple dashboards by providing exact answers in mere seconds, transforming the way data is accessed and utilized. Moreover, this innovative tool not only enhances productivity but also empowers users to make data-driven decisions with confidence.

Kyvos is a semantic data lakehouse designed to speed up every BI and AI initiative, offering lightning-fast analytics at an infinite scale with maximum cost efficiency and the lowest possible carbon footprint. The platform provides high-performance storage for both structured and unstructured data, ensuring trusted data for AI applications. It is built to scale seamlessly, making it an ideal solution for enterprises aiming to maximize their data’s potential. Kyvos is infrastructure-agnostic, which means it fits perfectly into any modern data or AI stack, whether deployed on-premises or in the cloud. Leading companies rely on Kyvos as a unified source for cost-effective, high-performance analytics that foster deep, meaningful insights and context-aware AI application development. By leveraging Kyvos, organizations can break through data barriers, accelerate decision-making, and enhance their AI-driven initiatives. The platform's flexibility allows businesses to create a scalable foundation for a range of data-driven solutions.

Snowflake Cortex AI is a serverless, fully managed platform designed for organizations to leverage unstructured data and develop generative AI applications within the Snowflake framework. This innovative platform provides access to top-tier large language models (LLMs) such as Meta's Llama 3 and 4, Mistral, and Reka-Core, making it easier to perform various tasks, including text summarization, sentiment analysis, translation, and answering questions. Additionally, Cortex AI features Retrieval-Augmented Generation (RAG) and text-to-SQL capabilities, enabling users to efficiently query both structured and unstructured data. Among its key offerings are Cortex Analyst, which allows business users to engage with data through natural language; Cortex Search, a versatile hybrid search engine that combines vector and keyword search for document retrieval; and Cortex Fine-Tuning, which provides the ability to tailor LLMs to meet specific application needs. Furthermore, this platform empowers organizations to harness the power of AI while simplifying complex data interactions.

Unmatched speed to market for embeddable charts, dashboards, and graphs GoodData's self service analytics user interface allows business users to create their own dashboards and visualizations in order to get the insights they want. Scaling your business doesn't require you to pay per user. Additionally, your organization's data volume will increase, which will allow you to improve your analytics without affecting your performance. GoodData provides the foundation for flexible data connections and transformation. Advanced data modeling and semantics guarantee integrity and accuracy for each metric. Our platform is secure at all levels, from multi-tenant architectures to regulatory compliance. Avoid common misunderstandings when building a SaaS product that includes embedded analytics. Learn about how analytics integration works in applications and the essential features.

SAP Datasphere serves as a cohesive data experience platform within the SAP Business Data Cloud, aimed at delivering smooth and scalable access to essential business data. By integrating information from both SAP and non-SAP systems, it harmonizes various data environments, facilitating quicker and more precise decision-making. The platform features capabilities such as data federation, cataloging, semantic modeling, and real-time data integration, ensuring organizations maintain consistent and contextualized data across both hybrid and cloud settings. Furthermore, SAP Datasphere streamlines data management by retaining business context and logic, thus providing an all-encompassing view of data that not only drives innovation but also optimizes business processes. This integration ultimately empowers businesses to leverage their data more effectively in an increasingly competitive landscape.

Wren AI is an innovative business intelligence platform that transforms team interactions with data through its advanced GenBI (Generative Business Intelligence) technology. This AI-powered solution enables users to obtain insights immediately by posing questions in everyday language, thereby removing the complexities associated with SQL queries and the tediousness of manual dashboard management. By empowering teams to independently navigate data and derive insights, Wren AI cultivates a culture of self-service data utilization. The platform encompasses robust features such as the automatic generation of reports, the extraction of actionable insights from raw data, and the conversion of SQL queries into visually appealing AI-generated representations. It seamlessly integrates with a diverse range of data sources and SaaS applications, ensuring quick and reliable access to vital information throughout organizations. Moreover, Wren AI's multi-agent system significantly reduces the occurrence of AI hallucinations, thereby delivering dependable and precise responses. The scalability of the platform accommodates both cloud and on-premise deployments, making it an ideal solution for businesses of various sizes. With its focus on enhancing user experience, Wren AI is poised to set new standards in the realm of business intelligence.

Understanding key metrics like Conversions or CAC usually requires days of combing dashboards, writing queries and validating results, often with no result. It shouldn't be so difficult. DataGPT makes it easy. DataGPT analyzes all your data in minutes and surfaces the segments that are driving your metrics. Each report allows you drill down into every segment and metric so that you can understand what is happening and why. Ask DataGPT a question and get an analyst's grade answer in seconds.

Leverage the capabilities of AI to effortlessly analyze, summarize, and visualize data, eliminating the need for complicated SQL queries. This enables every team member to pose any data-related inquiry and receive instant responses by seamlessly integrating with files, databases, or APIs directly within Slack, Teams, or any preferred workspace. Experience a tenfold increase in productivity with AI while ensuring the safety and security of your internal data. Deploy self-hosted LLMs that operate within your own infrastructure, tailored specifically to your unique datasets. The Genie ecosystem is designed to prioritize quality and security, facilitating enterprises in the smooth training and deployment of their own AI solutions. You can input your data and pose questions in natural language across various tables, allowing for an intuitive querying experience. Additionally, engage in follow-up inquiries and obtain insights and visualizations in a matter of seconds, empowering your team to make informed decisions faster than ever before. This streamlined approach revolutionizes the way organizations interact with their data.

Querio serves as your personal data analyst, capable of addressing inquiries, establishing new data frameworks, designing innovative dashboards, or simply assisting you in comprehending your existing data. By utilizing Querio, you can embrace a data-driven approach immediately, eliminating the need for a traditional data analyst, should you not have one available. Transform your business data into actionable insights without delay, as you analyze patterns, generate visual representations, and create dashboards through simple queries. You have the ability to create databases, configure ETL processes, and manage user permissions independently. Gain a deeper understanding of your data context, empowering you to formulate more insightful questions. Whether you're a busy solo entrepreneur or part of a small, agile team, Querio offers tailored plans to suit your needs, accommodating an unlimited number of users and data sources. Rather than writing complex SQL commands or waiting for an analyst’s assistance, you can directly interact with Querio through chat. It’s important to note that providing additional context or specificity may enhance Querio’s ability to assist you effectively. Currently, Querio is compatible with PostgreSQL, MySQL, and MariaDB, ensuring a wide range of database support for your analytical needs. By streamlining the data analysis process, Querio enables you to focus on strategic decision-making rather than getting bogged down by technical details.

Replace outdated dashboards and costly internal solutions with SimplyPut, allowing your customers to receive immediate and reliable answers to their data inquiries. Eliminate the need for customers to sift through endless tables and perform intricate calculations to obtain the information they seek. With SimplyPut, anyone can engage with your data using natural language and receive swift, trustworthy responses right within your application. Empower customers to stay informed about the data trends, changes, and updates that are most relevant. Transform any conversation into an automated report at the click of a button. SimplyPut's AI not only keeps users informed about essential metrics but also offers actionable recommendations based on insights. Unlike traditional text-to-SQL tools, SimplyPut stands out as a premier AI data analytics solution equipped with strong trust mechanisms that prevent inaccuracies. Efficiently educate SimplyPut's AI on your company's unique dataset and ensure any inquiry is verified for consistent and reliable outcomes, helping you make data-driven decisions with confidence. The ability to seamlessly integrate this technology into your existing systems enhances operational efficiency and customer satisfaction.

Business Pulse redefines analytics by putting AI-driven insights directly into the hands of business users through a natural language chat interface. Instead of waiting for reports or depending on technical teams, users can query their data in real time and receive instant responses in the form of charts, summaries, or downloadable tables. This conversational approach to analytics not only accelerates decision-making but also enhances collaboration by ensuring all stakeholders access the same centralized platform. By integrating with multiple tools and data warehouses, Business Pulse eliminates fragmentation and consolidates company-wide insights. The platform also addresses common business challenges such as delayed reporting, limited visibility, and disconnected data silos. Its AI engine goes beyond surface-level dashboards by identifying anomalies, highlighting opportunities, and contextualizing business performance. Companies can choose to fully customize Business Pulse for their systems or deploy it as a managed service. Ultimately, it empowers teams to move faster, think deeper, and act confidently with data at their fingertips.

AskEnola is an advanced analytical tool driven by artificial intelligence that supersedes traditional dashboards and manual reporting processes. It seamlessly integrates with your data warehouse solutions like Snowflake, BigQuery, or Redshift, and comprehends your vital business KPIs to provide immediate answers to intricate inquiries in straightforward language. In contrast to conventional BI tools that require extensive setup, Enola is operational from the start, revealing trends, diagnosing underlying issues, and forecasting results in real-time. Various teams, including those in RevOps, BizOps, FP&A, and Product, leverage Enola to accelerate decision-making, reduce reporting expenses, and enhance the adoption of analytics. By integrating BADIR™ methodology with contextual AI, it effectively dismantles data silos and revolutionizes how businesses respond to market fluctuations. No matter if you're evaluating churn, predicting revenue, or overseeing performance metrics, Enola delivers reliable insights without the need for tickets or dashboards. Experience the future of analytics by requesting your free demo now or see Enola in action through our Sandbox.

AtScale streamlines and speeds up business intelligence processes, leading to quicker insights, improved decision-making, and enhanced returns on your cloud analytics investments. It removes the need for tedious data engineering tasks, such as gathering, maintaining, and preparing data for analysis. By centralizing business definitions, AtScale ensures that KPI reporting remains consistent across various BI tools. The platform not only accelerates the time it takes to gain insights from data but also optimizes the management of cloud computing expenses. Additionally, it allows organizations to utilize their existing data security protocols for analytics, regardless of where the data is stored. AtScale’s Insights workbooks and models enable users to conduct Cloud OLAP multidimensional analysis on datasets sourced from numerous providers without the requirement for data preparation or engineering. With user-friendly built-in dimensions and measures, businesses can swiftly extract valuable insights that inform their strategic decisions, enhancing their overall operational efficiency. This capability empowers teams to focus on analysis rather than data handling, leading to sustained growth and innovation.

Corvic’s sophisticated enterprise data platform propels your strategic initiatives forward by offering transparent analysis and reliable outcomes. It seamlessly integrates with various data types, such as documents, images, tables, graphs, and time series, transforming them into valuable insights across multiple dimensions. When you pose a question to Corvic, it activates a dynamic workflow specifically designed for that inquiry, utilizing a combination of machine learning processing, semantic searches, graph AI, online analytical processing, and generative inference techniques. Unlike RAG, which falters when faced with intricate data complexities, Corvic excels by accommodating complex data types, thereby delivering more nuanced insights that standard RAG systems cannot achieve. This powerful platform not only retrieves and analyzes data but also forecasts future outcomes, enhancing your decision-making with a profound, actionable comprehension. By intelligently associating data, Corvic improves accuracy and tackles the hallucination issues commonly associated with RAG-driven solutions, ensuring you receive the most reliable information. In an ever-evolving data landscape, Corvic stands out as a crucial tool for businesses striving for a competitive edge.

Sequel makes data accessible for everyone by providing instant insights and visual representations through simple inquiries. You can pose any question related to your data, and it will deliver immediate results from your database. Our AI-driven tools enable you to swiftly uncover the insights necessary for informed decision-making. Receive quick answers to all your questions, along with AI-generated charts and visual aids. Experience the ease of letting your data communicate effectively. With a pro-AI SQL Engineer supporting you, Sequel is compatible with various databases and services to optimize your data utilization. Serving as a natural language interface for databases, Sequel allows users to interact with their databases without needing to write complex SQL queries. It caters to anyone involved with databases—be it developers, data analysts, or business users—by facilitating faster and more efficient querying. Utilizing advanced natural language processing, Sequel interprets your inquiries and translates them into SQL queries, streamlining the data interaction process. Embrace the future of data exploration with Sequel, where your questions lead to immediate insights.

Anania is an AI and search analytics platform that provides non-technical users with English search queries with analytical insights. Anania uses AI and NLP to make big data insights and understanding accessible to all departments of an organization, from marketing to product teams. Quick Results In seconds, you can get any insight, report or chart from your data. It's easy to use No code, no learning curve. Analytics as easy as Google search. Zero Setup Connect data to Anania and you can start using it. No configuration or setup required.

Explore the depths of your data using personalized AI chatbots and analytics with Corpus-X, which offers sophisticated AI-powered solutions such as chat applications and VizGPT for effective data visualization and analysis. Whether you need semantic search capabilities, customized chatbots for your documents, or insights derived from CSV files, we are here to assist you. VizGPT simplifies the process of data visualization; just upload your CSV files, and the tool will help you create informative graphs and respond to data-related inquiries, all driven by AI technology. Moreover, VizGPT is designed to integrate smoothly across various platforms, allowing you to visualize and query your data wherever necessary. We cater to a diverse range of data sources, including website documentation, Notion pages, PDFs, CSV files, and Slack data, ensuring that your chatbot is thoroughly trained for maximum efficiency. Our chatbots are designed for real-time engagement, guaranteeing that users receive quick and precise information, thereby significantly enhancing their overall experience. Additionally, Corpus-X continuously evolves to meet your needs, ensuring that your data interactions are always at the forefront of technological advancements.

Harness the full potential of your company's insights right within Slack. DataQA is a knowledge management tool designed specifically for Slack, enabling teams to easily bookmark, categorize, and preserve valuable information directly in the platform. Enhanced access to knowledge not only boosts productivity but also fosters greater accountability and improves the onboarding process for new employees. You can save critical product conversations, images, and explanatory materials, while also keeping a record of shared links about market trends and companies. This tool allows teams to compile frequently asked questions, enhancing the transition for newcomers, and it offers the ability to follow specific topics, ensuring that you stay updated with regular digests. By streamlining the saving of essential discussions and resources, DataQA enriches the onboarding experience for both new hires and seasoned staff alike. Unlike other applications, it integrates seamlessly into your existing workflow without requiring you to leave Slack or duplicate any content, making it an invaluable addition to your team's toolkit.

PandaAI is an innovative platform powered by artificial intelligence that converts natural language questions into meaningful data insights, simplifying the data analysis workflow. With this tool, users can easily link their databases, resulting in immediate report creation through intelligent AI and text-to-SQL functionalities. The platform promotes user engagement with data by enabling conversational AI capabilities, which make querying feel more natural and intuitive. Additionally, it supports collaboration among team members, allowing users to save their findings as data snippets to share seamlessly with others. To begin utilizing PandaAI, users need to install the pandasai library in Python, configure their API key, upload their datasets, and send them to the platform for thorough analysis. Once set up, users can harness the power of AI to unlock deeper insights from their data, enhancing decision-making and strategic planning.

Experience a revolutionary way to engage with your data by asking questions, crafting reports, and querying information through a text-based interface driven by advanced AI technology. Explore our innovative SalesForce Integration! With Genius Sheets, you can seamlessly communicate with your data, posing inquiries and receiving immediate answers that detail the origin of the data. Establish real-time connections between your applications and reporting spreadsheets for enhanced efficiency. Generate insightful analyses within seconds by creating reports from simple text prompts, requiring no SQL or technical background, which significantly reduces the time needed to access data. Leverage Genius Sheets to extract insights from your foundational data effortlessly. You can utilize our chat-based platform or link Genius Sheets to your messaging applications for convenience. The Genius Sheets AI is equipped with a memory feature that enables you to construct analyses progressively, step by step. The era of self-service data is here, allowing you to connect Genius Sheets to any internal software or database and interact in natural language, just as you would with a colleague. This advancement transforms data accessibility and empowers users to make informed decisions with unprecedented ease.

Uncover the intricacies behind emerging trends by embarking on a guided exploration of data analytics inquiries that reveal the underlying dynamics at play. Enable your stakeholders to harness the power of self-service data analytics, granting them the capability to retrieve and examine the data they require, precisely when they need it. This approach enhances efficiency, diminishes reliance on IT support, and accelerates the process of making informed, data-driven decisions through a self-service analytics platform. Athenic AI seamlessly integrates with your data, whether it is housed in a database, data warehouse, or applications like CRM or ERP systems, providing answers to your queries without necessitating expertise in SQL or the involvement of a business analyst. Designed to comprehend natural language, Athenic translates your inquiries into SQL queries effortlessly. Moreover, we have incorporated a feature that allows users to provide additional context in natural language, further enriching the interaction and insights derived from the data. This empowers users to gain a deeper understanding of their data landscape, fostering a culture of analytical thinking across the organization.

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Enhance your professional presence and career trajectory through exceptional analytics and presentations. Eliminate the monotonous coding and design tasks that often slow you down. By utilizing skills.ai, you can effectively leverage AI technology to quickly generate comprehensive analytics, paving the way for seamless success for you and your team. This innovative platform simplifies the data analysis process, allowing users to prioritize insights and make informed decisions without the burden of intricate coding or data handling. Additionally, skills.ai's data chat feature transforms data analytics into a user-friendly experience, enabling you to engage with your data effortlessly, asking questions in a conversational manner just like you would with a trusted data analyst. Discover how skills.ai can empower you to unlock your full potential in data-driven environments.

Qwestify simplifies the way you work with Google Analytics 4 data by transforming it into simple answers. Qwestify provides instant insights into the performance of your website by asking a simple question. It helps you discover trends, track key metrics and make better decisions. Qwestify is designed to simplify analytics for business owners, managers, and marketers. It eliminates the need to dig through endless reports. Qwestify offers clear, actionable insights tailored for your needs, whether you're monitoring traffic, identifying top performing campaigns, or analyzing the behavior of users. Qwestify is trusted by teams in all industries to ensure data is accessible, efficient and impactful.

WisdomAI is a cutting-edge analytics platform that harnesses the power of AI to deliver instant insights across all data, whether structured or unstructured. Users can interact with the platform by asking simple, plain-language questions and get actionable answers instantly, enabling faster decision-making. The platform's knowledge fabric unifies data, offering a holistic view that breaks down silos and helps teams collaborate more effectively. WisdomAI also uncovers trends and opportunities proactively, delivering recommendations that are specifically tailored to each user’s goals. With seamless integration into BI tools and enterprise systems, it ensures that users have real-time access to insights. The platform’s enterprise-grade security, along with granular access controls and compliance certifications, guarantees safe and secure AI adoption across the organization.