DashboardGPT
DashboardGPT is a conversational BI workspace for teams exploring data without SQL or custom dashboards. Users upload CSV or Excel files and ask questions in plain English, receiving charts, metrics, tables, and written insights on an interactive canvas. They can rearrange results and ask contextual follow-up questions. Team and Enterprise plans connect Google Sheets, Google Analytics, and Google Search Console. Apache Superset powers query execution and chart rendering. DashboardGPT supports sales, marketing, finance, SaaS, operations, and product analytics. The free Explore plan supports individual file analysis; Team adds shared canvases, scheduled reports, and access controls, while Enterprise adds SSO, audit controls, and private deployment. Customers can use the hosted cloud service or self-host on their own infrastructure with a selected AI provider or compatible local model.
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Databricks Genie Code
Genie Code is an AI agent built for data teams that analyzes, builds, and maintains complex data workflows inside the Databricks workspace. It autonomously plans and executes multistep tasks while adapting to an organization’s data and governance model, with specialized capabilities across data engineering, data science, machine learning, and business intelligence. Grounded in Unity Catalog metadata, semantics, and governance, it can identify authoritative tables, metrics, and assets, understand dependencies across data and AI systems, and respect existing access controls. For data science, Genie Code can find and clean data, explore datasets, test hypotheses, and generate shareable reports. Machine learning workflows include feature engineering, model training and evaluation, deployment, endpoint configuration, and performance tuning. Data engineers can use natural language to automate ETL workloads, optimize queries, and build Spark Declarative Pipelines.
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SayData
No more complicated SQL queries or complex programming languages, simply type in your question and let SayData do the rest. With natural language processing capabilities, easily explore your data and gain insights that might have gone unnoticed. We offer a comprehensive suite of data visualization and analysis tools, enabling you to explore your data and uncover insights in real time. Create custom dashboards and reports that showcase your data in a way that's easy to understand and act upon instantly. SayData is designed to understand and answer questions that are unique to your business. Out-of-the-box dashboard portal where your users can log in and securely view dashboards with their own data. Share analytics via a simple shareable link. Easily integrate into your Slack workspace. SayData is architected to ensure complete data privacy with best-in-class measures. We go through annual penetration tests to ensure our security is top-notch.
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ClarityQ
ClarityQ is an AI data analytics platform for data, product, and business teams. It connects to warehouses such as Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, Athena, and Azure Synapse, where users ask questions in natural language and receive analysis, visualizations, insights, and action plans without remodeling data. Its automatically maintained Context Layer organizes business logic, metric definitions, and table relationships, with changes tracked for review. Answers can show reasoning, generated SQL, and data sources; validation checks results, and follow-up questions clarify ambiguity. Teams create dashboards from prompts, schedule reports to Slack or email, and share results with role-aware access controls. The platform is read-only by default and offers an open API, SOC 2 Type II and GDPR compliance, Private Link, and single-tenant options. Use cases include product, growth, and business analysis for gaming, SaaS, e-commerce, and consumer app companies.
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