Google Bigtable is a fully-managed, scalable NoSQL database service designed for large analytical and operational workloads, providing low-latency access to vast amounts of structured data. It is ideal for applications requiring high throughput and reliability, such as real-time analytics, time-series data, and IoT data storage.
Top 5*
Database Technologies
About Google Bigtable
Google Bigtable was created in 2004 by a team at Google to handle the company's growing need for a scalable and efficient database solution. It was designed to manage large amounts of structured data across many commodity servers, providing high performance and reliability for applications such as web indexing, Google Earth, and Google Finance.
Strengths of Google Bigtable include high scalability, low latency, and seamless integration with other Google Cloud services. Weaknesses include complexity in setup and management, and it may not be suitable for all types of workloads. Competitors include Amazon DynamoDB, Apache HBase, and Microsoft Azure Cosmos DB.
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How to hire a Google Bigtable expert
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
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