Key Features

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Mature Technology

TimeBase is a high-performance time series database and messaging middleware with roots in capital markets. TimeBase leverages over 15 years of experience, hundreds of active clients, and a professional R&D team, including original creators of Deltix Inc. Our battle-tested system offers only those features that have been proven in production for a number of clients. Behind each number there is a real project, not just a micro benchmark.

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Cost-Efficient Scaling

TimeBase was designed with low TCO in mind. This is why it is easy to master and operate, not demanding for storage nor hardware. The minimal setup may consist of a single process and can be scaled up to 10 nodes, capable of providing data consistency and load balancing.

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Superior Performance

TimeBase is incredibly fast providing explosive throughput (2 million events per core per second) and predictable latencies (100us) in both standalone and cluster mode, which has been proven in real-life use cases.

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Complete Ecosystem

Out-of-the-box connectors to various DBs, message brokers, visualization and monitoring tools (ClickHouse, Timescale, S3, Kafka, Grafana). You get access to tools with Web, desktop and CLI interface, deployment, serialization framework and data schema migrators. C#/C++/Java/Python code generators allow building a complex and sophisticated ecosystem to aggregate, analyze and stream high volumes of heterogeneous time series data at scale, with market-winning performance and at a reasonable cost.

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Designed for Analytics

TimeBase's design allows it to handle real-time, cache and historical time series data with equally superior performance using the same code base, which makes TimeBase the best solution for real-time analytics and data science. It provides seamless transition between historical and real time data even inside the Jupyter Notebook.

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Multi-Language APIs

TimeBase provides API libraries natively implemented on most popular backend languages: Java/C++/C#/Python/GO. Web APIs (REST/WS) are available as well. All you need is a few API calls in the language of your choice to get you up and running.

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Intelligent Data Modeling

TimeBase on one hand is schema oriented database, where the principle of introspection allows using classes in the selected language as schemas. On the other hand, you can take advantage of sophisticated data modeling capabilities of the system, Luminary IDL, complex messaging format evolution and versioning, natural ability to store large volumes of time-series of heterogeneously structured messages. TimeBase supports arrays of objects and data types like enumerations, decimal numbers, IEEE floats, text, integer numbers, small alphanumeric codes and true/false values.

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