TimescaleDB
PostgreSQL for time-series.
Overview
TimescaleDB is an open-source time-series database that is packaged as a PostgreSQL extension. It is designed to make PostgreSQL scalable for time-series data while retaining the reliability, ecosystem, and SQL interface of PostgreSQL. TimescaleDB automatically partitions data by time and provides other features to optimize for fast ingest and complex queries on time-series data.
✨ Key Features
- Built on PostgreSQL
- Automatic time-based partitioning (hypertables)
- Full SQL support
- High data ingestion rates
- Data compression
- Continuous aggregations
🎯 Key Differentiators
- Built on PostgreSQL, providing reliability and a rich ecosystem
- Full SQL support
- Combines the benefits of relational and time-series databases
Unique Value: TimescaleDB provides the scalability and performance of a time-series database with the reliability and familiarity of PostgreSQL.
🎯 Use Cases (5)
✅ Best For
- Monitoring at Comcast
- IoT platform at Bosch
- Financial analytics at a major bank
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Non-time-series data
- Graph data
🏆 Alternatives
Unlike other time-series databases that use proprietary query languages, TimescaleDB's full SQL support makes it easier for developers to get started and leverage their existing skills.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 30-day free trial
Free tier: Free tier for Timescale Cloud with usage limits.
📊 Market Info
Customers: NA
Total Funding: $180.0M
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