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Uqbar

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Hyper-converged time-series database optimized for IoT data management

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About Uqbar

Uqbar is a hyper-converged time-series database built on the openGauss kernel, designed specifically for IoT scenarios requiring efficient management of both time-series and relational data. It consolidates sensor metadata and monitoring data into a single system, reducing complexity and costs associated with maintaining multiple databases. The platform supports complex association queries across data types using standard SQL, enabling streamlined analytics and improved query efficiency.

Targeted at enterprises managing massive IoT sensor data, Uqbar delivers industry-leading performance with capabilities such as NUMA optimization, intelligent data partitioning, and vectorized query engines. It ensures high availability through primary/standby deployment and customizable data consistency levels, while providing comprehensive security features including fine-grained permissions, encryption, and audit trails. Uqbar also offers ease of use with multi-language client drivers, integration with Kafka and Grafana, and graphical management tools to simplify operations and maintenance.

Key Capabilities

  • Unified management of time-series and relational data
  • High-performance write and query for massive IoT data
  • Complex multi-dimensional and association queries
  • Primary/standby high availability with automatic failover
  • Comprehensive security with fine-grained permissions and encryption

Integrations

KafkaGrafanaC/C++, Java, Go client drivers

This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .

Quick Facts

mogdb.io/en/uqbar
PricingSubscription
DeploymentOn-Premises
Target SizeEnterprise