Table of Contents
- 1 What are the characteristics of time series data?
- 2 What is a time series database vs relational?
- 3 What database is used for time-series data?
- 4 What is the difference between Netezza and Oracle?
- 5 What is the difference between a TSDB and a time series database?
- 6 Are relational databases suitable for time-series data?
What are the characteristics of time series data?
When plotted, many time series exhibit one or more of the following features:
- Trends.
- Seasonal and nonseasonal cycles.
- Pulses and steps.
- Outliers.
What is a time series database vs 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 …
What kind of database is Netezza?
IBM Netezza is a powerful and highly parallelized Data Warehousing system that is simple to administer and to maintain. This system is an appliance that is purpose-built for data warehousing.
What is meant by time-series data?
A time series is a data set that tracks a sample over time. In particular, a time series allows one to see what factors influence certain variables from period to period. Time series analysis can be useful to see how a given asset, security, or economic variable changes over time.
What database is used for time-series data?
Relational database management systems (RDBS), which are often considered general-purpose database systems, can be used to store and retrieve time series data. With the flexibility of RDBMSs, they can store the same data as a TSDB, with one key difference being how the data is written to the storage medium.
What is the difference between Netezza and Oracle?
Part of the PureData family, the Netezza appliance is now known as the PureData System for Analytics. The Oracle Exadata Database Machine features a simple and fast database storage system that protects and backs up your critical data. It accelerates data warehouse performance for faster access to business information.
What is sailfish database?
It comprises a high-performance hardware platform and optimized database query engine software that work together to support various data analysis and business-reporting capabilities. The sub-components have been developed, tuned and tested to save setup and administration time and costs.
Time series data also reveals a full picture of a system over time and enables analysis of historical trends. Common characteristics of TSD include: Time series data is always collected over a specified time period. Data from workloads is new and written as inserts, rather than updated to replace the data that already exists.
What are the architectural design properties of a time series database?
Time series databases have key architectural design properties that make them very different from other databases. These include time-stamp data storage and compression, data lifecycle management, data summarization, ability to handle large time series dependent scans of many records,…
What is the difference between a TSDB and a time series database?
A time series database is built specifically for handling metrics and events or measurements that are time-stamped. A TSDB is optimized for measuring change over time.
Are relational databases suitable 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. That is what we do in TimescaleDB.