Managed Analytics Database
High-performance columnar database optimized for analytical workloads. Perfect for third-party data, real-time analytics, data warehousing and processing massive datasets at scale.
Enterprise-Grade Performance
Built for scale with industry-leading analytics capabilities
Real-Time Analytics
Process millions of events per minute with sub-second query response times. Perfect for real-time dashboards and instant insights.
- • Sub-second query performance on billions of rows
- • Real-time data ingestion and processing
- • Automatic indexing and optimization
Massive Scale & Compression
Handle petabytes of data with advanced compression that reduces storage costs by up to 75%.
- • Advanced columnar compression algorithms
- • Horizontal scaling across multiple nodes
- • Optimized for analytical workloads
Performance Benchmarks
Advanced Data Integration
Seamless connectivity with streaming and batch data sources
Streaming Sources
- • Apache Kafka
- • Amazon Kinesis
- • Azure Event Hubs
- • Real-time APIs
- • WebSocket streams
Databases
- • PostgreSQL
- • MySQL
- • MongoDB
- • SQL Server
- • Oracle
Object Storage
- • Amazon S3
- • Google Cloud Storage
- • Azure Blob Storage
- • HDFS
- • MinIO
Managed Integration Platform
Our robust and scalable architecture ensures consistent performance and reliability for both long-term streaming needs and one-time data loading jobs. Configure streaming intervals, batch sizes, and error handling with just a few clicks.
Perfect For These Use Cases
Time-Series Analytics
Analyze massive time-series datasets with lightning-fast aggregations and filtering.
"SELECT avg(response_time) FROM events WHERE timestamp > now() - INTERVAL 1 HOUR GROUP BY toStartOfMinute(timestamp)"
Business Intelligence
Power dashboards and reports with complex analytical queries on large datasets.
"Aggregate billions of rows in seconds for real-time business metrics and KPI calculations"
Data Warehousing
Store and query petabytes of structured data with columnar compression.
"Compress data up to 10x smaller than traditional databases while maintaining query performance"
Event Stream Processing
Ingest and process high-volume event streams in real-time.
"Process millions of events per second from Kafka, Kinesis, and other streaming platforms"
Real-Time Observability
Monitor application performance and infrastructure with real-time log analysis.
"Analyze millions of log entries per second to identify performance bottlenecks and security threats in real-time"
Machine Learning & AI
Power ML models with fast feature engineering and real-time inference data.
"Process billions of user interactions to train recommendation models and serve real-time personalization"
Enterprise Success Stories
Media & Entertainment: Process tens of millions of CDN records daily with millions of queries for real-time content delivery monitoring.
E-commerce: Analyze 3 billion events per day at 2 million events per minute for fraud detection and customer analytics.
Financial Services: Real-time risk assessment processing petabytes of transaction data with sub-second response times.
Technology: Search through months of application logs in under a second for debugging and performance optimization.