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What is TiDB Cloud?

Introducing a cloud-native distributed HTAP database that offers effortless scaling and real-time analytics as a fully managed service, equipped with a serverless tier that enables quick deployment of the HTAP database in mere seconds. With the capability to scale transparently and elastically to hundreds of nodes for critical workloads, there is no need to alter your business logic. Users can leverage their existing SQL expertise while maintaining relational structures and global ACID transactions, all while efficiently handling hybrid workloads. The system boasts a robust built-in analytics engine that allows for operational data analysis without the need for ETL processes, making data management more streamlined. You can expand to hundreds of nodes while ensuring ACID compliance, free from the complexities of sharding or any downtime interruptions. The accuracy of data is preserved even amidst simultaneous updates to the same data source, making it a dependable choice for high-demand environments. TiDB's compatibility with MySQL not only enhances productivity but also speeds up your applications' time-to-market, facilitating the smooth migration of data from existing MySQL systems without the need for code rewrites. This cutting-edge solution simplifies database management, allowing teams to concentrate on development while minimizing infrastructure-related challenges. Additionally, the system's design ensures that users can adapt quickly to evolving business needs without compromising performance or reliability.

What is Google Cloud Bigtable?

Google Cloud Bigtable is a robust NoSQL data service that is fully managed and designed to scale efficiently, capable of managing extensive operational and analytical tasks. It offers impressive speed and performance, acting as a storage solution that can expand alongside your needs, accommodating data from a modest gigabyte to vast petabytes, all while maintaining low latency for applications as well as supporting high-throughput data analysis. You can effortlessly begin with a single cluster node and expand to hundreds of nodes to meet peak demand, and its replication features provide enhanced availability and workload isolation for applications that are live-serving. Additionally, this service is designed for ease of use, seamlessly integrating with major big data tools like Dataflow, Hadoop, and Dataproc, making it accessible for development teams who can quickly leverage its capabilities through support for the open-source HBase API standard. This combination of performance, scalability, and integration allows organizations to effectively manage their data across a range of applications.

Media

Media

Integrations Supported

Google Cloud Platform
Amazon Aurora
Amazon Web Services (AWS)
MySQL
NoSQL
Oracle Database
Snowflake
TiDB

Integrations Supported

Google Cloud Platform
Apache Spark
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Managed Service for Apache Spark
Hadoop
Heroic
InfluxDB
JanusGraph
OpenTSDB
Peekdata
ThoughtSpot
YepCode

API Availability

API Availability

Has API

Pricing Information

$0.95 per hour
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

PingCAP

Company Location

United States

Company Website

www.pingcap.com/tidb-cloud/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/bigtable

Categories and Features

Database

Not specified

Distributed Databases

Not specified

Categories and Features

Columnar Databases

Not specified

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Security
Database Conversion
Monitoring
NOSQL
Performance Analysis
Queries

Distributed Databases

Not specified

Key-Value Databases

Not specified

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

Time Series Databases

Not specified

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