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The
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real-time
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analytics
database
Fast and scalable database solution for relevancy search, navigating connections and transaction processing
Fast and scalable database solution for relevancy search, navigating connections and transaction processing
As data volumes soar, the speed and reliability of data handling become very important.
Written in C++ and using advanced data structures for data management, SereneDB optimizes operations at every level, ensuring top performance — whether managing massive datasets or scaling up.
Full potential of diverse datasets is locked by limited visibility into data and uncoordinated information extraction.
By combining tabular, vector and unstructured data in a single system, SereneDB allows users to switch perspectives and gain insights, turning data into assets.
SereneDB is the single source of truth for analyzing data, refining results and driving smarter decisions.
Managing multiple data systems with different querying interfaces is costly and inconvenient.
Leverage standard SQL for querying, analyzing, and optimizing workloads with ease.
Seamless PostgreSQL compatibility enables effortless migration of existing applications without the need for code rewrites.
SereneDB is designed for AI’s growing scalability demands, giving systems full access to:
vectorized data
metadata
raw data
SereneDB’s versatile database solution fuels AI engines with the data they need for optimal performance and scalability.
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Provides a single platform for both real-time analytics and transactional processing, allowing businesses to streamline operations and reduce complexity by using one unified system for all data needs.
A seamless combination of real-time search analytics (full-text and vector search) with primary OLTP storage capabilities based on fast embeddable db-engines RocksDB, eliminating the need for separate analytics tools.
An integrated analytical toolkit featuring inverted index, columnar storage, and vector index, all natively built into the storage engine for unmatched performance and efficiency.
A robust, fault-tolerant cluster architecture ensuring high availability, resilience, and scalability, designed for mission-critical applications.
Feed analytical data to hundreds of gauges and information panels in real-time.
Accurate matchmaking and in-game cheating prevention.
Complete view of a customer or an asset and their relationships.
Geospatial, connected and unstructured data analytics is one solution.
Tracking of every item on a bill of material across vendors and geographies.
Real-time similarity search, scoring and connections analysis.
Data storage, search, recommendations and transaction processing in a single solution.