Timescale
Postgres for time-series and analytics, supercharged.
Overview
Timescale is a managed database platform engineered to supercharge PostgreSQL for time-series, events, and analytics. It is built on the TimescaleDB extension, which provides automatic partitioning, query optimization, and other features to handle massive volumes of time-series data efficiently. The platform offers a fully managed, cloud-native experience for deploying and scaling TimescaleDB.
✨ Key Features
- Based on PostgreSQL
- Automatic time-based partitioning
- Columnar compression
- Continuous aggregations and data retention policies
- Optimized functions for time-series analysis
- Serverless and scalable architecture
🎯 Key Differentiators
- Built on PostgreSQL, allowing use of SQL and the Postgres ecosystem
- Combines time-series data with relational business data in one database
- Superior performance for complex time-series queries
Unique Value: Provides a powerful, scalable, and easy-to-use time-series database based on PostgreSQL, enabling developers to use familiar SQL for complex time-series analysis.
🎯 Use Cases (5)
✅ Best For
- Monitoring industrial machinery
- Tracking cryptocurrency prices
- Analyzing user engagement metrics over time
💡 Check With Vendor
Verify these considerations match your specific requirements:
- General purpose OLTP workloads without a time-series component
- Document or key-value data stores
🏆 Alternatives
Offers the full power of SQL and the ability to store relational and time-series data together, unlike NoSQL time-series databases like InfluxDB. It provides better performance and more features than using vanilla PostgreSQL for time-series workloads.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 30-day free trial
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