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Time Series Database
Open-source time series database designed to handle high write and query loads for time-stamped data. Optimized for monitoring, IoT, analytics, and real-time applications. Features include retention policies, continuous queries, and InfluxQL for time-series specific operations.
Advanced Open Source Database
Powerful, open-source object-relational database system known for reliability, feature robustness, and performance. Widely used in Python community with excellent support for advanced data types, JSON, full-text search, and performance optimization. ACID-compliant with strong community and enterprise adoption.
Document NoSQL Database
Document database with scalability and flexibility, featuring querying and indexing capabilities. Stores data as JSON documents, making it ideal for rapid development and horizontal scaling. Supports aggregation pipelines, transactions, and has rich Python driver support with PyMongo.
In-Memory Data Store
Open-source, in-memory data structure store used as database, cache, and message broker. Supports various data structures including strings, hashes, lists, sets, sorted sets, and streams. Provides high performance, sub-millisecond latency, and is widely used for caching, session management, and real-time analytics.