AI Data Analytics & BI

The global standard for real-time infrastructure metrics, operational observability, and time-series dashboards.

• World-class Time-series Charting Optimized: Provides Prometheus, InfluxDB, and Elasticsearch. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Granular Alert Rules: Notifying Slack, PagerDuty, and email during incidents. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Open-source Python framework that turns data science scripts into interactive shareable web apps in minutes.

• Build Interactive Web: Apps purely in Python with simple commands like `st.slider()` and `st.line_chart()`. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Instant Reactivity: The script re-runs cleanly whenever the user interacts with a widget. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The world's dominant business intelligence platform supercharged with Copilot natural language queries.

• Copilot in Power: BI generates complete visual dashboards from conversational questions. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Q&a Natural Language Query Engine: Lets non-technical staff ask data questions. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

OpenAI's interactive Python sandbox that writes code, cleans datasets, and creates charts conversationally.

• Real-time Python Execution: Environment creating custom matplotlib and seaborn charts. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Automated Data Cleaning,: Outlier detection, and statistical correlation modeling. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The open-source BI darling that lets anyone ask questions and create beautiful dashboards in 5 minutes.

• Visual Graphical Query Builder: Allowing non-technical teammates to answer their own questions. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Raw Sql Editor: With visual parameters and automatic charting. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The legendary visual analytics platform powered by Tableau Pulse and Einstein Copilot metrics.

• Tableau Pulse Delivers: Personalized, plain-English metric digests directly to Slack and email. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Einstein Copilot in: Tableau assists in building complex calculated fields and visualizations. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Search and AI-driven analytics platform that turns business intelligence into a simple Google-like search bar.

• Relational Search Engine: Translating plain English queries into complex SQL across cloud data warehouses. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Spotiq Ai Automated: Anomaly detection and root cause analysis. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The Lakehouse platform unifying data engineering, governance, BI, and generative AI with Mosaic AI.

• Delta Lake Unified Lakehouse Platform: Provides data engineering, streaming, and SQL analytics. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Mosaic Ai: Provides fine-tuning open-source LLMs on your private enterprise data. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Code-based BI platform with a git-versioned semantic layer tailored for modern data teams.

• Aml (analytics Modeling: Language) code-based reusable metric definitions. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Git-versioned Data Models: Allowing pull requests and code review for business metrics. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The leading enterprise open-source data exploration and visualization platform originally built at Airbnb.

• Cloud-native, Highly Extensible: Architecture capable of scaling across petabytes. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Sql Lab Rich: Interactive SQL query development environment. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Collaborative developer workspace for data science and AI teams bridging exploration with production code.

• Multiplayer Visual Canvas: Combining code cells, charts, and markdown. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• One-click Deployment of: Machine learning models into production REST APIs. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Open-source visual workflow platform for data science, ETL transformation, and machine learning pipelines.

• Visual Node-based Canvas: With thousands of pre-built data science algorithms. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Native Integrations: With Python, R, Java, and deep learning libraries. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Open-source machine learning and enterprise GenAI platform trusted by global financial institutions.

• Distributed In-memory Machine Learning Engine Optimized: Provides massive scale. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Driverless Ai Automated: Feature engineering and model competition. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Google Cloud's modern data platform with unified semantic LookML modeling and Gemini AI integrations.

• Lookml Centralized Semantic: Modeling layer eliminating conflicting business metric definitions. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Direct In-database Query: Architecture (zero data stored on Looker servers). Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The enterprise AI platform that automates machine learning model building, evaluation, and production governance.

• Automated Machine Learning: (AutoML) competing dozens of models to find the highest accuracy. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Full Mlops Suite: Monitoring model drift, fairness, and latency in production. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

AI-powered decision intelligence platform combining natural language search with automated root-cause insights.

• Automated Root-cause Analysis: Revealing the statistical drivers behind metric changes. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Dual-engine Natural Language: Search query system (Genius). Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The modern data collaborative platform uniting SQL, Python notebooks, and visual dashboards.

• Seamless Bridge Between: Raw SQL queries and Python/R Jupyter notebooks. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Helix In-memory Data: Engine rendering charts instantly for thousands of viewers. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

High-speed cloud business management platform with 1,000+ connectors and Domo.AI workflows.

• Over 1,000 Pre-built: Cloud connectors (Salesforce, SAP, Snowflake, Google). Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Domo.ai Natural Language Query Engine: Builds cards on the fly. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Associative analytics engine uncovering data relationships that traditional SQL queries miss.

• Patented Associative Engine: Mapping all data connections in memory. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Insight Advisor Ai Conversational Assistant: Provides chart generation and anomaly detection. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The API-first embedded analytics platform allowing SaaS companies to build custom data products.

• Extensive Javascript Sdk and Apis: Provides white-labeling dashboards into client applications. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• In-chip Engine Optimizing: Query performance on massive datasets. Engineered for high throughput, it integrates into daily AI data analytics & BI workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.