100,000+ devices.
Zero bottlenecks.
Faster queries, reliable performance, and lower costs. All built on PostgreSQL.
Companies that trust Tiger Data
TimescaleDB’s continuous aggregations changed our dashboards from sluggish to lightning fast. It used to take minutes to run some long-term data queries. Now, almost all queries for long-term data are sub-second.
One database for oil, gas, solar, and more
Tiger Data efficiently handles high write rates from all your sensor data and helps you collect, process, store, and visualize it with high granularity while using less compute and memory.
It works with any hardware and software solutions you already have in place so you can see and analyze data in real time.
Out-of-order and late arrival data is always on time
Tiger Data automatically handles inserts and updates and recompresses the partition to maintain high compression ratios and high query performance.
You can then configure common queries used in your applications to return results faster. Automatically and continuously calculate, store, and refresh up-to-date results for your applications, dashboards, or SCADA.
Less hardware, better performance
Algorithms compress data 90+%, data partitioning, and automatic data retention and tiering policies keep your data both compliant and compact. Because of that, you can use less compute, memory, and storage to achieve the same level of ingest and query performance.
Top-rated support
Leverage the expertise of the Tiger Data team. No question is off-limits: we can help you with your data modeling, query optimization, and performance tuning.
See our support optionsAccess to expert support
Get a second opinion on your database setup when you need it—at no extra cost to you.
Always on
We are available 24 x 7 x 365 to ensure that you have a lifeline when unexpected events happen.
Guided every step, never walk alone
Get assistance with migrations, data modeling, query or ingest performance, compression settings, and more.
Tailored solutions for your unique needs
When it comes to data, there is no one-size-fits-all strategy. We work with you to create a solution to meet your specific circumstances.
[Tiger Data] was great for storing time-series data and enabled us to do a lot of analytical work. The most important thing for me is that mixing model and time-series data enhances our platform’s analytical power.
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Learn how developers building energy apps use Tiger Data in production and start building with tutorials and real-world
Glooko: real-time diabetes monitoring at 3 billion data points per month
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How Octave Achieves a High Compression Ratio and Speedy Queries on Historical Data While Revolutionizing the Battery Market
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How Ndustrial Is Providing Fast Real-Time Queries and Safely Storing Client Data With 97% Compression
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How I Am Planning My Photovoltaic System Using Tiger Data
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Using IoT Sensors, Tiger Data, and Grafana to Control the Temperature of the Nuclear Fusion Experiment at the Max Planck Institute
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