You can now predict the future with FUJITSU Enterpise Postgres and TimescaleDB!
I am delighted to announce that Fujitsu Australia Software Technology has partnered with Timescale, one of the leading open source times-series databases available on the market to provide a unique integrated offering of TimescaleDB Enterprise with FUJITSU Enterprise Postgres.
What is Time Series Data?
Time series analysis is about inferring what has happened to a series of data points in the past and attempting to predict what will happen to them in the future.
Storing key data in a time-series format allows organisations to gain insights into how the data looks like in a specific period and how it changes over time, helping organizations analyse the past, monitor the present, and predict the future.
Time-series data is becoming critical to many organisations by providing business insights, monitoring and measuring IOT sensor data, maintaining data for regulated markets, or applying time-series analysis to high value data sets such as financial markets data.
Unifying time-series data with business data
TimescaleDB is the first time-series database that offers full SQL compatibility, bringing you the best of the relational and time-series worlds. Manipulating time-series data using SQL just as a regular PostgreSQL table in the same database.
FUJITSU Enterprise Postgres bundled with Timescale DB Enterprise results in an enterprise-grade data platform that provides scale with usability by enhancing functions such as data retention policies, continuous queries, and flexible time aggregations for time-series data analysis - all supported by Fujitsu.
In our next blog post, our PostgreSQL expert Gary Evans will dive into the details and explain how TimescaleDB implements this solution. We'll keep you posted.