Imply Polaris is a fully managed database-as-a-service (DBaaS) built on Apache Druid, designed to deliver real-time analytics without the operational complexity of managing infrastructure or database tuning. It enables organizations to ingest data from streaming and batch sources, run interactive ad-hoc queries, and visualize insights instantly. Polaris automates scaling, security, upgrades, and disaster recovery, making it accessible to teams without Druid expertise and supporting rapid onboarding and data-driven application development.

Key Features

Fully Managed Cloud Service Automates infrastructure, scaling, and maintenance.

• No need for Druid or cloud expertise.
• Handles sizing, upgrades, and disaster recovery automatically.

Easy Data Ingestion Supports streaming and batch ingestion from popular sources.

• Integrates with Confluent Cloud, Apache Kafka, Amazon Kinesis.
• REST API for direct event ingestion; schema-optional ingestion.

Automated Performance Optimization Ensures high performance with minimal effort.

• Auto-tuning and configuration based on operational best practices.
• Auto-compaction keeps data layout optimized.

Built-in Data Visualization Instant analytics and visualization for end users.

• One-click ad-hoc queries and dashboards.
• Drag-and-drop fields for custom visualizations.
• Embed visualizations in external applications.

Security and Compliance Enterprise-grade security and certifications.

• SOC 2 Type 1, HIPAA, and ISO 27001 compliance.
• Encryption at-rest and in-motion, granular access controls.

Elastic Scalability Instantly scales resources to match workload.

• Scale ingestion and query performance up or down as needed.
• Pay-as-you-grow pricing model.

High Availability Ensures uptime and business continuity.

• Multi-zone deployment for resilience.
• Contractual availability guarantees.

Benefits

Accelerated Time-to-Insight Delivers real-time analytics without operational delays.

• Onboard and analyze data in seconds.
• Supports rapid prototyping and production scaling.

Reduced Operational Burden Eliminates need for database management expertise.

• Automated management reduces staffing and training costs.
• Built-in best practices ensure optimal performance.

Enhanced Data-Driven Applications Empowers teams to embed analytics in products.

• Visualizations and APIs for seamless integration.
• Improves end-user experience with instant insights.

Cost Efficiency Optimizes resources and spending.

• Elastic scaling prevents over-provisioning.
• Pay-as-you-grow model aligns with usage.