Time Series with TimescaleDB

Manage demanding time series workloads and data using TimescaleDB-powered Tessell for PostgreSQL. Power apps across IoT, sensors, AI, dev tools, crypto, and finance—all built on PostgreSQL.

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Fast and scalable

Store and query data swiftly with automatic partitioning, columnar compression, and real-time aggregation. Scale effortlessly with dynamic expansion and limitless storage.

Resource/cost savings

Optimized engineering ensures efficient computing and storage, leading to cost savings. Advanced compression further reduces storage expenses.

Worry-free and easy

Focus on your application with our user-friendly tools: intuitive APIs, job scheduling, one-click high availability, replication, seamless upgrades, expert support, and more.

PostgreSQL but better

With Tessell for PostgreSQL, enjoy up to 1,000 times faster queries, 90% data compression, and access to over 100 advanced SQL data analysis hyperfunctions.

Managed Timescale on Tessell

Focus on using PostgreSQL, not configuring, hardening, and maintaining complex clusters.

Deploy TimescaleDB based on the choice of cloud and choice of infrastructure.

Sleep easy knowing that restoring from backups and failing over to a standby will work when needed.

Scale up & Down with ease.

Schedule minor upgrades without downtime, and get support for any major upgrade.

Everything you need for production, with one-click multi-AZ high availability, read-replicas, DR instances, managed connection pooling, and monitoring metrics.

Timescale Use Cases

DevOps and Monitoring

DevOps teams and system administrators often need to monitor and analyze time-series data related to system performance, network traffic, and application metrics. TimescaleDB can help store and analyze this data in real time, enabling faster and more accurate troubleshooting.

Internet of Things (IoT)

Ingest data from millions of IoT sensors & connected devices. Everything from mobile devices, home appliances, thermostats, and security cameras to automobiles can continuously collect, store, use, and transmit data. Managed TimescaleDB is an ideal solution for storing and analyzing IoT data, such as sensor data, device logs, and telemetry data.

Digital Marketing

Digital marketing firms often need to analyze large volumes of time-series data related to user behavior, website traffic, and ad campaigns. TimescaleDB can help to store and analyze this data more efficiently and accurately, enabling better campaign optimization.

Financial Services

Financial services firms often deal with large volumes of time-series data, such as stock prices, trading data, and transaction data. TimescaleDB can help these firms store and analyze this data more efficiently and accurately, enabling better decision-making.

Energy and Utilities

Energy and utility companies often need to analyze time-series data related to power consumption, network outages, and equipment performance. TimescaleDB can help to store and analyze this data more efficiently, enabling better predictive maintenance and outage prevention.