Get Started Free
No time limit - totally free - just the way you like it.Sign Up Now
Time-series Databases are databases designed specifically to handle time-stamped or time-series data. Time-series data is a sequence of data points indexed or ordered in time. It is commonly generated from sources such as sensors, IoT devices, financial markets, and application logs.
Time-series Databases are optimized for handling large volumes of time-stamped data efficiently. They use specialized data structures and indexing techniques to enable fast data ingestion, storage, and retrieval. They typically provide high write and read throughput, scalability, and compression techniques to minimize storage requirements.
Time-series Databases play a crucial role in various industries and use cases:
There are several related technologies and terms associated with Time-series Databases:
Dremio users would be interested in Time-series Databases because they can benefit from the efficient storage, retrieval, and analysis of time-stamped data. Dremio, as a data lakehouse platform, seamlessly integrates with Time-series Databases, allowing users to leverage the power of Dremio's SQL-based querying, data virtualization, and self-service analytics capabilities on top of their time-series data. This integration enables users to combine time-series data with other structured and semi-structured data sources within a unified platform, enabling comprehensive analytics and gaining deeper insights.
Dremio is a data lakehouse platform that combines the best elements of data lakes and data warehouses. While Time-series Databases specialize in handling time-stamped data efficiently, Dremio extends this capability by providing a unified platform for accessing, querying, and analyzing data from various sources, including Time-series Databases, data lakes, and data warehouses. With Dremio, users can achieve a holistic view of their data, regardless of its structure or storage location. Additionally, Dremio offers advanced data wrangling, transformation, and data engineering capabilities that complement the functionalities of Time-series Databases.