Is Time Series Database Relational?

Is Time Series Database Relational?

Additionally, unlike regular relational database which need to be generic and allow for sorting and querying according to multiple different columns, keys and indexes, TSDBs are specific for querying and sorting data according to its timestamp and are therefore much more efficient and faster when doing that compared to …

Where do you store a database?

Database storage structure All the information in a database is organized and structured in database tables. These tables are stored on the hard disk of the database server. The database tables are usually divided into columns and rows, just like a regular graphic table.

What time-series DB does Prometheus use?

You can use PostgreSQL 12 with pg_prometheus as a standard time-series database to store Prometheus time-series data.

Can a relational database be used for time series data?

And because time-series data piles up very quickly, many developers believe relational databases are ill-suited for it. We take a different, somewhat heretical stance: relational databases can be quite powerful for time-series data. One just needs to solve the scaling problem.

How are tables stored in a relational database?

This is an old, common problem for relational databases. Under most relational databases, a table is stored as a collection of fixed-size pages of data (e.g., 8KB pages in PostgreSQL), on top of which the system builds data structures (such as B-trees) to index the data.

Why do we use a relational database instead of a NoSQL?

While relational databases have many useful features that most NoSQL databases do not (robust secondary index support; complex predicates; a rich query language; JOINs, etc), they are difficult to scale. And because time-series data piles up very quickly, many developers believe relational databases are ill-suited for it.

Why do we use indexes in relational database?

With an index, a query can quickly find a row with a specified ID (e.g., bank account number) without scanning the entire table or “walking” the table in some sorted order. Now, if the working set of data and indexes is small, we can keep it in memory.