TigerLogic PICK Database

TigerLogic PICK Database is a multi-dimensional NoSQL database system that provides high-performance data management and storage capabilities to organizations across a wide range of industries.

#What is TigerLogic PICK?

TigerLogic PICK Database is a multi-value database management system that provides an efficient way of organizing and processing complex data structures. It was designed to handle large volumes of data and provide fast and reliable access to that data.

#TigerLogic PICK Key Features

Here are six of the most recognizable features of TigerLogic PICK Database:

  • Multi-value architecture that allows for efficient storage and retrieval of complex data structures.
  • Dynamic hashing algorithms for faster data access and retrieval.
  • Built-in query language for easy data manipulation and reporting.
  • High availability and fault tolerance through clustering and replication.
  • Integration with popular development environments and tools.
  • Scalability to handle large datasets and high transaction volumes.

#TigerLogic PICK Use-Cases

TigerLogic PICK Database is used in a wide range of applications across various industries. - Here are six common use cases:

  • Financial services: for storing and analyzing financial data such as trading transactions, account balances, and market data.
  • Retail: for managing inventory, customer data, and sales information.
  • Healthcare: for managing patient records, medical history, and health data.
  • Logistics: for managing supply chain data, tracking shipments, and optimizing delivery routes.
  • Government: for managing large datasets such as census data, tax records, and public health information.
  • Telecommunications: for managing subscriber data, call records, and network performance metrics.

#TigerLogic PICK Summary

TigerLogic PICK Database is a multi-value database management system with a unique architecture that allows for efficient storage and retrieval of complex data structures. It is used in various industries for managing large volumes of data and providing fast and reliable access to that data.

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