Time-series data, or data being associated with its respective time of occurrence, is everywhere. From the obvious cases, such as metrics, observability, IoT data, all the way to logs, invoicing, or payment records. While storing some of these in relational databases is standard practice, people often reach for specific time-series databases when volume gets high. But imagine if you could have all of them in the same database: PostgreSQL.

1. PostgreSQL
The Time-Series Database You (Actually) Want
@timescaledb

2. Chris Engelbert
Developer Advocacy @TimescaleDB
Previous fun companies:
- Ubisoft / Blue Byte
- Hazelcast
- Instana
- clevabit
Interests:
- Developer Relations
- Anything Performance Engineering
- Backend Technologies
- Fairy Tales (AMD / Intel, AMD / Nvidia, AMD / Nvidia)
@noctarius2k

3. What is Time-Series?

4. https://www.theatlantic.com/sponsored/thomson-reuters-davos/ensuring-trust-in-
fi
nancial-transactions-for-the-21st-century/759/
Financial Transactions

5. https://www.theatlantic.com/sponsored/thomson-reuters-davos/ensuring-trust-in-
fi
nancial-transactions-for-the-21st-century/759/
Stocks Prices

6. Internet of Things Measurements

7. Observability Metrics

8. Service Traces

9. User Behavior

10. https://www.deviantart.com/jonahptak
Marvel Timeline

11. Time-Related Observations
of a
Subject

12. Time-Related Observations
of a
Subject
CREATE TABLE stocks (
time TIMESTAMPTZ NOT NULL,
price INT NULL,
symbol TEXT NULL
);

13. Time-Related Observations
of a
Subject
CREATE TABLE measurements (
time TIMESTAMPTZ NOT NULL,
deviceID INT NULL,
sensor_value REAL NULL,
location geometry NULL
);
CREATE TABLE stocks (
time TIMESTAMPTZ NOT NULL,
price INT NULL,
symbol TEXT NULL
);

14. NYSE transactions per day NYSE transactions per second NYSE transactions in 5 years
4.2 B 162 K 5.4 Trillion
illion
Consolidated Tape A
trading volume
https://www.nyse.com/markets/us-equity-volumes
4.2B Transactions
23400 Trading Seconds
CFTC requires that
fi
nancial records be kept
for 5 years and “readily
available” for 2 years

15. But Why Time-Series in PostgreSQL?

18. • Established Ecosystem
• Rock-Solid
• Production Proven
• SQL (no custom … something language)
• Multi-Model Support (through Extensions)
• JOINing between all your Data

19. • Established Ecosystem
• Rock-Solid
• Production Proven
• SQL (no custom … something language)
• Multi-Model Support (through Extensions)
• JOINing between all your Data
• I Love Elephants!

20. Partitioning, Sharing, Chunking, …

21. 10 TB Table

22. Root Table
2.5 TB Table 2.5 TB Table 2.5 TB Table 2.5 TB Table
…

23. Root Table
2.5 TB Table 2.5 TB Table 2.5 TB Table 2.5 TB Table
…
😱

24. Root Table
1 GB Table 1 GB Table 1 GB Table 1 GB Table
…

25. Root Table
1 GB Table 1 GB Table 1 GB Table 1 GB Table
• Range Partitioning
• List Partitioning
• Hash Partitioning
…

26. Root Table
• Smaller Tables (faster scanning)
• Smaller Index (faster updating)
• Partition Pruning (faster queries)
• Partition Detach (faster deletes)
1 GB Table 1 GB Table 1 GB Table 1 GB Table
…

27. https://en.wikipedia.org/wiki/Co
ff
ee#/media/File:Latte_and_dark_co
ff
ee.jpg
Demo Time

28. Where To Go Next?

29. Blog Posts
What Is Time-Series Data?
Hacking NFL Data with PostgreSQL, TimescaleDB, and SQL
What Is Time-Series Forecasting?
https://tsdb.co/blog-time-series-data
https://tsdb.co/blog-n
fl
-data
https://tsdb.co/blog-what-is-time-series-forecasting
Docs https://tsdb.co/timescale-docs

30. Thank
You!
www.timescaledb.com
@timescaledb
@noctarius2k
Questions?