data analytics companies
- Snowflake – Cloud-native data warehouse platform known for scalability, performance, and data sharing.
- Tableau (Salesforce) – Widely used business intelligence platform with strong data visualization capabilities.
- Microsoft Power BI – Power BI dominates in dashboarding; Azure Synapse supports big data and advanced analytics.
- Google Looker – Looker is a BI tool integrated with Google Cloud's BigQuery for fast SQL analytics.
- AWS QuickSight – AWS offers scalable data warehousing and visualization tools integrated with cloud services.
- IBM Cognos Analytics – Longtime enterprise BI vendor; Watson Studio enables AI/data science workflows.
- Oracle Analytics Cloud – Focuses on enterprise-grade BI, ML, and data integration solutions.
- SAP Analytics Cloud – Comprehensive enterprise analytics suite with integration to SAP ERP systems.
- SAS – Renowned for statistical analysis and advanced analytics in enterprise environments.
- TIBCO Spotfire – Strong in visual analytics, predictive analytics, and real-time event stream processing.
- Palantir Technologies – Focused on operational and strategic analytics at scale; known for government and enterprise data fusion.
- Domo – Cloud-based platform for data integration, visualization, and decision-making at speed.
- Sisense – Specializes in embedding analytics and simplifying complex data for all users.
- ThoughtSpot – Search and AI-driven analytics with strong natural language querying capabilities.
- MicroStrategy – Enterprise analytics platform with strong mobile BI and security features.
- Informatica – Leads in enterprise data integration, data governance, and cloud data management.
- Collibra – Focused on data governance, cataloging, and data quality for large enterprises.
- Cloudera – Open-source big data platform built on Hadoop and Spark; used for large-scale data engineering.
- DataRobot – AI and AutoML platform enabling business users to build and deploy predictive models.
- RapidMiner – Data science platform with strong visual workflows and ML model deployment capabilities.