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Category: Data & Analytics

Snowflake

Snowflake

Cloud data platform for storing, processing, and analyzing large volumes of structured and semi-structured data. Supports secure data sharing and collaboration across multiple clouds, with SQL-based analytics and integration for enterprise workflows.

Daily Active Users<10
Website
Twitter
YouTube
Domo

Domo

Cloud-based business intelligence platform for connecting, visualizing, and analyzing data from multiple sources. Enables organizations to build dashboards, monitor key metrics, and share real-time insights across teams.

Daily Active Users<10
Website
Twitter
LinkedIn
Databricks

Databricks

Cloud-based analytics platform for data engineering, data science, and machine learning workflows. Provides collaborative tools for processing, managing, and governing data, including support for data lakes, machine learning lifecycle management, and unified data cataloging.

Daily Active Users<10
Website
Reddit
Twitter
Sisense

Sisense

Business intelligence and analytics platform for analyzing large datasets, building custom dashboards, and embedding AI-driven insights into applications and workflows. Supports cloud, on-premises, and hybrid deployment, with features for data modeling, secure governance, and integration with development pipelines.

Daily Active Users<10
Website
GitHub
Twitter
QlikView

QlikView

Business intelligence platform for analyzing and visualizing data from multiple sources using an associative data model and in-memory processing. Supports interactive dashboards, charts, and self-service analytics to help users explore information and make data-driven decisions.

Daily Active Users<10
Website
Twitter
Facebook
Splunk

Splunk

Platform for collecting, indexing, and analyzing machine-generated data from IT systems and infrastructure. Provides real-time monitoring, search, visualization, and alerting to support IT operations, security, and business analytics.

Daily Active Users<10
Website
Twitter
YouTube
Alteryx

Alteryx

Data analytics platform for preparing, blending, and analyzing data from multiple sources. Offers code-free and code-friendly tools for data cleansing, transformation, and advanced analytics to support business and data analysts.

Daily Active Users<10
Website
Twitter
YouTube
Apache Superset

Apache Superset

Open-source business intelligence platform for exploring, visualizing, and analyzing data from multiple sources. Users can build charts and dashboards through a web interface, run SQL queries, and customize visualizations to fit a range of analytical needs.

Daily Active Users<10
Website
GitHub
Twitter
Tableau

Tableau

Business intelligence and data visualization platform for connecting to multiple data sources, analyzing information, and building interactive dashboards and reports. Features include drag-and-drop charting, mapping, data preparation, and natural language queries for exploring insights.

Daily Active Users<10
Apple Store
Google Play Store
Website
Twitter
YouTube
Looker

Looker

Business intelligence and analytics platform for exploring, visualizing, and sharing data from multiple sources. Enables teams to build custom reports, dashboards, and data models to support data-driven decision-making.

Daily Active Users<10
Apple Store
Google Play Store
Website
Wikipedia
Knime

Knime

Open-source platform for building data workflows, enabling users to integrate, process, analyze, and visualize data through a graphical interface. Supports connections to diverse data sources, machine learning libraries, and scripting languages for advanced analytics.

Daily Active Users<10
Website
Bluesky
YouTube

About Data & Analytics

Collecting, analyzing, and interpreting data is central to decision-making across teams and industries. Data and analytics platforms consolidate information from multiple sources, transforming raw inputs into dashboards, reports, and actionable insights. Users can segment audiences, monitor key metrics, and track trends over time – often with customizable visualizations and automated alerts. Integration with marketing, sales, and product tools enables real-time performance tracking and cross-channel attribution. Advanced features may include cohort analysis, predictive modeling, and data enrichment from third-party sources. The result is faster, more confident decisions grounded in measurable outcomes.

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