Time series database : Time Series Database
time series database is called time series database.
Time series data : data with time labels
A time series database is a specialized database for storing and managing time series data. It has the characteristics of more writes and fewer reads, hot and cold distinctions, high concurrent writing, no transaction requirements, and continuous writing of massive data. It can be aggregated and analyzed based on time intervals and efficient retrieval.
Time-series databases are widely used in scenarios such as the Internet of Things, economics and finance, environmental monitoring, industrial manufacturing, agricultural production, hardware and software system monitoring, etc.
1 Commonly used time series databases
Commonly used time-series databases:
Reference: https://db-engines.com/en/ranking/time+series+dbms
These two time-series databases, you can take a look in detail:
iotdb
official website address: https://iotdb.apache. org/
open source address: https://github.com/apache/iotdb
TDengine
official website address: https://www.taosdata.com/
Open source address: https://github.com/taosdata/TDengine
2 Time series databases of each cloud platform
Each cloud platform also has its own time series database:
2.1 Alibaba Cloud Lindorm
Official document: https://help.aliyun.com/product/172543.html
Introduction: Lindorm is a cloud-native multi-mode hyper-converged database designed and optimized for the Internet of Things, the Internet, and the Internet of Vehicles. It supports unified access and fusion processing of wide tables, time series, text, objects, streams, and spaces Compatible with multiple standard interfaces such as SQL, HBase/Cassandra/S3, TSDB, HDFS, Solr, Kafka, etc. and seamlessly integrated with three-party ecological tools, it is the preferred database for scenarios such as logs, monitoring, billing, advertising, social networking, travel, and risk control. One of the databases supporting Alibaba's core business.
2.2 HUAWEI CLOUD openGemini
Official website address: http://www.opengemini.org
Open source address: https://github.com/openGemini.
Introduction: openGemini is compatible with InfluxDB and Prometheus ecological API, and has five major advantages, including high performance, high expansion, storage-analysis integration, low operation and maintenance costs, and high data compression rate.
2.3 Tencent Cloud CTSDB
Official document: https://cloud.tencent.com/document/product/652
Introduction: TencentDB for CTSDB is an efficient, secure, and easy-to-use time-series data storage service on the cloud. It is especially suitable for scenarios with massive time-series data such as the Internet of Things, big data, and Internet monitoring. You can quickly create a CTSDB instance according to actual business needs, and linearly expand the instance in real time as the business changes.