QuestDB

QuestDB is a high-performance, column-store database designed to efficiently manage time-series data. It integrates a SQL engine with capabilities for JIT compilation, making it suitable for handling large volumes of data. QuestDB supports storing data in open formats like Parquet, allowing for cost-effective storage solutions such as S3. This enables users to bypass the database for data ingress and egress, streamlining data management processes.

Key features of QuestDB include high-performance data ingestion, automatic partitioning based on timestamps, and schema elasticity. This allows users to dynamically add columns without interrupting database operations. The database also supports concurrent updates and metadata changes, ensuring data consistency across multiple nodes. QuestDB's SQL engine is optimized for analytical workloads, executing queries in parallel and leveraging metadata for query optimization. It supports advanced SQL extensions, such as sample-by and limit, which are particularly useful for time-series data analysis.

QuestDB is designed to handle both time-series and OLAP workloads, making it versatile for applications requiring fast data ingestion and querying capabilities. Its architecture supports distributed queries, allowing it to scale across multiple servers for business intelligence tasks. Additionally, QuestDB provides efficient egress APIs, such as the Arrow Driver and ADBC, which facilitate large-scale data transfer over networks. This makes it suitable for applications that require frequent data extraction and processing outside the database, such as in AI or data analytics workflows.

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Website: questdb.io

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