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.