Scalable Knowledge Graph for Big Data

Natively accessible in Apache Spark, Timbr transforms Spark into a Scalable Knowledge Graph to deliver the benefits of semantics and of connected, smart data to your lightning-fast unified analytics engine for large-scale data processing.

Apache Spark enables Timbr to perform fast processing tasks on very large data sets and to distribute data processing tasks across multiple computers to deliver powerful big data analytics.

Give Spark semantic capabilities

Data
360º view


Leverage your Timbr Spark Knowledge Graph to get a consistent, complete, and real-time view of data across systems and sources

Spark Graph
Relationships


Benefit from semantics to empower Spark to connect the dots. Generate and discover relationships to maximize big data utilization and benefits

Spark Conceptual
Modeling


Use abstract concepts representing data to accelerate Spark implementation of complex applications like machine learning and graph algorithms

Seamless Integration

Empower Spark with semantic reasoning to make Big Data accessible to Artificial Intelligence

Model a Timbr SQL Knowledge Graph in just a few minutes and learn how easy it is to explore and query your data with the semantic graph

Model a Timbr SQL Knowledge Graph in just a few minutes and learn how easy it is to explore and query your data with the semantic graph

Register to try for free

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