Ingest millions of rows of data without missing a beat

Improve performance without adding resources—all on PostgreSQL

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Why Timescale for sensor and meter data?

There are four main challenges Timescale solves for handling data from oil rigs, solar farms, and more in the energy industry:

  • It ingests thousands (or millions) of readings from multiple sensors and meters as it receives data
  • It writes and inserts out-of-order inserts on late arrival data without needing to perform manual batches
  • It maintains query performance at massive data scale by providing specialized extensions
  • It compresses your data into a smaller space (90+%) so you use less storage and less compute 
Why Timescale for sensor and meter data?

By using TimescaleDB, we have significantly improved our data management efficiency, achieving query times of 25 milliseconds, reducing our database size from 200 GB to 55 GB with compression, and maintaining high insertion rates.

Stanislav Karpov, Head of Data Platform Engineering

Ingest data as it’s received without missing an insert

With Timescale’s hypertables, you can accelerate data ingestion by partitioning time-series data from sensors and meters. Once you choose how to organize your data, Timescale seamlessly manages the partitioning process in the background, breaking down your data into smaller, more efficient tables to keep ingest running at peak performance.

Ingest data as it’s received without missing an insert

Keep your data accurate even when it arrives late

Out-of-order inserts and late-arriving data are common when dealing with sensors and meters on oil rigs, solar farms, and utility equipment. Timescale’s database automatically handles this, ensuring your data is stored in the correct place without needing manual intervention. 

Whether your data arrives late or out of sequence, Timescale efficiently reorders and inserts it into the appropriate partitions—so you don’t have to worry about missing critical readings or running time-consuming manual processes.

Keep your data accurate even when it arrives late

Get faster queries without waiting on recalculations

Continuous aggregates help you avoid the slowdowns caused by scanning large tables or recalculating results every time you run a query. Instead, continuous aggregates automatically refresh in the background as new data and readings are added, so you get the insights you need faster and without delays. Compared to Amazon RDS, queries are up to 353x faster. 

Get faster queries without waiting on recalculations

Compress your data and lower storage costs

Timescale loves compressing data. In fact, many customers see compression rates above 90%. For the data you rarely query or need to store for record keeping, you can reduce costs by transferring it to our low-cost tiered storage. 

Compress your data and lower storage costs

Seamless Integration with Your Existing Systems

The flexibility of PostgreSQL makes it easy to integrate with your current system or even use it as your database for everything. You can use full SQL or build on top of it using the languages you’re familiar with and extensions built for your analytics needs.

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