Statsbot vs. Axibase Time Series Database

Integrate your database with Statsbot, and in just a few minutes, it will automatically generate data relationships and provide you with initial insights. Statsbot can efficiently manage terabytes of unprocessed data from various sources, eliminating the requirement for any prior data optimization or transformation. You can easily specify your transformations using SQL and Javascript, so there’s no need to learn intricate languages or navigate through complex interfaces. While data storage costs are low, running queries can become expensive; Statsbot effectively tackles this challenge by introducing a pre-aggregations layer that improves query performance. Designed to work seamlessly with raw data found in modern data warehouses, Statsbot allows for real-time queries and transformations, as well as running background processes for pre-aggregating demanding calculations. This transformation layer guarantees that even the most complex reports are generated quickly, resulting in a smooth and efficient data analysis experience. Ultimately, Statsbot greatly minimizes the time and resources required to extract valuable insights from extensive datasets, making it a powerful tool for businesses looking to leverage their data. By streamlining the entire process, it enhances overall productivity and decision-making capabilities.

An advanced parallel query engine enables efficient access to both time- and symbol-indexed data. It incorporates an upgraded SQL syntax that facilitates complex filtering and extensive aggregations. This innovative system merges diverse financial data types, including market quotes, trade transactions, snapshots, and reference information, into a unified database. Users can perform strategy backtesting with high-frequency datasets, engage in quantitative research, and analyze market microstructure dynamics. The platform offers in-depth transaction cost analysis alongside rollup reporting, which ensures a comprehensive understanding of trading activities. With integrated market surveillance features and anomaly detection tools, it enhances overall monitoring capabilities. It also has the capacity to break down opaque ETFs and ETNs while employing FAST, SBE, and proprietary protocols to boost performance. A straightforward text protocol simplifies usage, and both consolidated and direct data feeds are provided for seamless data ingestion. Additionally, built-in latency monitoring tools and extensive end-of-day data archives are part of the offering. The engine supports ETL processes from both institutional and retail financial data sources, and its parallel SQL engine comes with syntax extensions that allow for advanced filtering based on various parameters, such as trading sessions and auction stages. It further provides optimized calculations for OHLCV and VWAP metrics, enhancing analytical precision. An interactive SQL console with auto-completion features improves user interaction, while an API endpoint supports programmatic integration. Scheduled SQL reports can be generated with delivery options via email, file, or web, complemented by JDBC and ODBC drivers for wider accessibility.