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    TiDB Cloud

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    Sold by: PingCAP 
    Deployed on AWS
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    Build Real-Time Applications on a Highly-Scalable Managed Cloud Database with TiDB Cloud, a fully managed Database as a Service (DBaaS) of TiDB: an open-source, distributed, MySQL compatible, NewSQL database that supports Hybrid Transactional and Analytical Processing (HTAP) workloads.
    4.5

    Overview

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    TiDB Cloud allows you to focus on your customers with zero operational overhead.

    What We Offer

    TiDB Cloud Dedicated provides developers and data teams the full power of TiDB delivered as an on-demand, fully-managed service, requiring a fraction of the operational overhead needed with traditional data solutions. Rapid Productivity: Create and connect to an elastically scalable, reliable, MySQL-compatible database in minutes with no software to install, configure, or manage. Reliable Operations: Trust the experienced cloud ops team at PingCAP to keep data safe by applying industry-leading best practices. Robust Security: Efficiently secure data in TiDB Dedicated using features including identity and access management, VPC peering, turnkey encryption, and more. Multi-Cloud Availability: Deploy database clusters anywhere in the world with availability in over 30 regions in Amazon Web Services and Google Cloud Platform.

    TiDB Cloud Starter delivers a cloud-native database in seconds while you only pay for the data processing and storage you use--so development teams can focus on what's next. A Pain-Free Distributed SQL Database: Free yourself from database frustration and manual tasks, such as sharding. Give your apps a powerful, distributed platform. Automated Scale at an Affordable Cost: Storage, transactional, and analytical workloads elastically scale up or down in seconds to meet your application demands. Fully-Managed, Elastic Operations: Delivers and maintains an optimized deployment of TiDB without worrying about server provisioning. Powerful AI-Enhanced Analytics: Advanced features allow you to generate SQL queries, real-time analytics, and get help on the fly, making developers' lives even easier.

    Highlights

    • Single Source of Truth: Performing data analytics in real-time, while maintaining high concurrency, ensures that your customers always receive accurate data. Real-time analytics through our Hybrid Transactional and Analytical Processing (HTAP) capabilities means that your row and columnar data is stored in a single database, allowing simultaneous updates to the same data source.
    • Shorten Time-to-Market: TiDB Cloud is compatible with the MySQL protocol, which allows developers to easily migrate data from existing MySQL instances without rewriting code. This straightforward process leads to increased productivity and shorter time-to-market for applications.
    • Reduce Infrastructure Costs: TiDB Cloud is a fully managed service that includes data backup and recovery, so you can focus on building applications and leave your database infrastructure to us. Our built-in monitoring tools and 24/7 customer support will ensure your applications have zero downtime.

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    Try this product free according to the free trial terms set by the vendor.
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (1)

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    TiDB Cloud Usage
    $1.00

    AI Insights

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    Dimensions summary

    The TiDB Cloud Usage dimension refers to the consumption-based pricing for TiDB Cloud, a fully managed Database-as-a-Service (DBaaS). Pricing is calculated based on actual resource usage, and varies depending on the instance type and region. There are two cluster types: TiDB Cloud Dedicated Clusters, which are billed based on compute units and storage capacity in gigabytes; and TiDB Cloud Starter Clusters, which follow a pay-as-you-go model billed by Request Units (RU) in compute and storage capacity consumed, aligning with typical cloud consumption patterns.

    Top-of-mind questions for buyers like you

    How is TiDB Cloud Usage calculated and billed on AWS Marketplace?
    TiDB Cloud Usage is calculated based on resources usage including compute, storage, network transfer and support plan (if any). The pricing varies by cluster types and regions, with customers paying only for the actual resources consumed, including all resources used by their TiDB clusters.
    What are the different pricing tiers available for TiDB Cloud on AWS Marketplace?
    TiDB Cloud offers two pricing tiers. TiDB Cloud Starter follows a pay-as-you-go consumption model where you pay only for what you use, making it ideal for variable workloads. TiDB Cloud Dedicated uses a resource-based pricing model where customers pay for provisioned infrastructure, making it best suited for predictable workloads.
    Are there any additional costs beyond the listed TiDB Cloud Usage dimension?
    The TiDB Cloud Usage dimension includes the database service costs, without additional charge. Customers should also consider that pricing varies by AWS region and the specific cluster types selected for their deployment.

    Vendor refund policy

    All fees are non-cancellable and non-refundable except as required by law.

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

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    Please contact us at aws-marketplace@pingcap.com  for more information.

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Accolades

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    Top
    10
    In Databases & Analytics Platforms, Databases
    Top
    50
    In ELT/ETL
    Top
    25
    In Databases

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
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    Overview

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    AI generated from product descriptions
    Hybrid Transactional and Analytical Processing
    Supports HTAP workloads with simultaneous row and columnar data storage in a single database, enabling real-time analytics while maintaining high concurrency on transactional data.
    Distributed SQL Database Architecture
    Provides a distributed, MySQL-compatible NewSQL database that eliminates manual sharding requirements and supports elastic scaling across multiple cloud regions.
    MySQL Protocol Compatibility
    Implements MySQL protocol compatibility to enable seamless data migration from existing MySQL instances without requiring code rewrites.
    Automated Data Management and Recovery
    Includes fully-managed automated data backup, recovery, and built-in monitoring tools with zero-downtime operations.
    Multi-Cloud Regional Deployment
    Supports deployment across over 30 regions on Amazon Web Services and Google Cloud Platform with VPC peering and turnkey encryption capabilities.
    Horizontal Sharding
    Enables horizontal scaling through data distribution and load balancing across thousands of nodes using Vitess technology, presenting multiple shards as a single database.
    Non-Blocking Schema Changes
    Supports online schema modifications without downtime through database branching workflow and advanced schema change management capabilities.
    Connection Pooling and Query Replication
    Provides built-in connection pooling and query replication to reliably scale to thousands of queries per second with automatic traffic spike handling.
    Database Branching Workflow
    Allows instant creation of development and staging environments with database branching for safer feature deployment and testing.
    Query Insights and Anomaly Detection
    Includes advanced query monitoring, performance insights, and anomaly detection capabilities for database optimization and troubleshooting.
    Oracle Compatibility
    Native Oracle compatibility enabling seamless connection to legacy applications, code interpretation, and query execution without requiring code rewrites.
    High Availability
    Up to 99.995% availability on AWS cloud with best-in-class HA, geo-distributed databases, and disaster recovery capabilities.
    Performance Optimization
    5X performance improvement compared to open source PostgreSQL through optimized database configuration and execution.
    Distributed Database Architecture
    Multi-region distributed database deployment enabling geo-distributed data placement and disaster recovery across multiple AWS regions.
    License Portability
    Ability to move on-premises EDB Postgres workloads to AWS cloud while maintaining existing license investments and leveraging cloud discounts.

    Security credentials

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    Validated by AWS Marketplace
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    ISO/IEC 27001
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    Contract

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    Customer reviews

    Ratings and reviews

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    4.5
    73 ratings
    5 star
    4 star
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    1 star
    73%
    26%
    1%
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    0 AWS reviews
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    73 external reviews
    External reviews are from G2  and PeerSpot .
    Manoj D.

    Robust Performance for Real-Time Analytics with TiDB

    Reviewed on Feb 15, 2026
    Review provided by G2
    What do you like best about the product?
    I use TiDB as a database for my real-time stock analytics platform, and it resolves quite a few problems I faced with a single large instance of Postgres. TiDB performs well under heavy load while monitoring a large number of stocks. I love the MySQL compatibility, which made the migration from Postgres to TiDB easy without needing to learn a new framework. The HTAP feature eliminates the need for dedicated ETL pipelines for analytics, and the strong consistency is crucial for accurate financial transactions. I also appreciate the separation of compute versus storage, allowing me to scale them independently as needed. The initial setup for testing the migration was easy, making the transition smoother for my team.
    What do you dislike about the product?
    - The plan optimizer was sometimes unstable - The UI can be better - Learning curve of distributed architecture is challenging
    What problems is the product solving and how is that benefiting you?
    I find TiDB handles heavy loads, integrates HTAP to eliminate ETL pipelines, ensures strong consistency for financial data, and reduces costs. The MySQL compatibility eases migration, and separation of compute and storage allows independent scaling.
    Abhi a.

    Seamless Scalability with TiDB's Powerful HTAP

    Reviewed on Feb 14, 2026
    Review provided by G2
    What do you like best about the product?
    I use TiDB as the primary database for my LLM testing project, AIBenchFlow, because it stores large volumes of data efficiently. TiDB is excellent for scalability, performance, and consistency, which is crucial as my project runs thousands of tests concurrently. The MySQL compatibility was a huge plus since it made integration fast without needing to learn a new tech stack. I really like the distributed architecture, which makes scalability seamless, allowing TiDB to scale horizontally without much of my attention. The HTAP feature is fantastic because it lets me run transactions and analytics on the same system, eliminating the need for a separate pipeline just for analytics. The initial setup with TiDB Cloud was easy, and during the testing phase of the migration from MySQL, we were able to replicate the setup within a day.
    What do you dislike about the product?
    One area I think could be improved is the learning curve around its distributed architecture. Though the docs are solid, it can feel overwhelming at first. More beginner friendly real-world examples would help newbies like me. The most overwhelming aspect was to understand how its components - SQL layer, storage layer etc.. work together in a distributed cluster. Better diagrams and videos could be help a beginner like me. Since, my project requires real time analytics and transactions, more concrete examples on the performance tuning would be helpful.
    What problems is the product solving and how is that benefiting you?
    TiDB solves scalability, performance, and consistency challenges. It scales well without degrading performance and ensures strong consistency for transactions. Its MySQL compatibility made integration seamless, reducing costs and maintenance as it handles HTAP workloads in a single system.
    Abhishek .

    Seamless Integration, Reliable and Scalable

    Reviewed on Feb 13, 2026
    Review provided by G2
    What do you like best about the product?
    I really appreciate how flexible TiDB is. It allows our system to grow without needing big changes to the overall structure. Even as we add new features like more agents, more analytics, and more personalization, the database doesn't slow things down or become a limiting factor. Another thing that works really well is how TiDB stays out of the way. There's no need to constantly tweak settings or worry about scaling as usage changes. This kind of easy to maintain reliability is really useful when the main focus is on AI orchestration and user experience, not on managing the database itself. The initial setup was also smooth and simple to add to our current cloud system, which makes it fit well into the larger ecosystem without causing any extra work or complexity.
    What do you dislike about the product?
    Monitoring and performance tracking could be more user friendly. Even though the system is strong, having simpler, more focused insights would help new startups or hackathon teams learn faster.
    What problems is the product solving and how is that benefiting you?
    TiDB keeps user data and recommendations up-to-date and in sync, ensuring reliable nutrition advice. It handles structured health data safely, supports growth without slowing down, and is easy to maintain, letting us focus on AI orchestration and user experience.
    Yuvraj .

    Reliable and Scalable Database Solution

    Reviewed on Feb 13, 2026
    Review provided by G2
    What do you like best about the product?
    I find TiDB incredibly reliable, which is crucial for ServiceBridge when dealing with real services and financial transactions through an in-app wallet. The trustworthiness of TiDB ensures that our records and processes stay intact without any system issues. I also appreciate how seamlessly it grows without needing a complete overhaul, allowing our team to focus on enhancing the user experience rather than dealing with technical challenges. Plus, setting up the database with TiDB Cloud was simple and integrated easily with our existing tools.
    What do you dislike about the product?
    There are areas that could be improved. While the core system is stable, getting a good grasp of how performance behaves in a distributed SQL setup can be tricky, especially for teams used to working with traditional single node databases. Also, monitoring and performance insights could be made easier for smaller teams. Having a more intuitive way to see how queries are behaving and how the system scales would make it easier to learn and use.
    What problems is the product solving and how is that benefiting you?
    I use TiDB for reliable transaction management, ensuring accurate data during money transfers and confirmations. It grows seamlessly, preventing redesigns and technical challenges, allowing us to focus on enhancing user experience. TiDB is trustworthy, especially for handling real services and financial operations.
    Vamsi .

    Revolutionized Resume Matching with Seamless Database Integration

    Reviewed on Feb 13, 2026
    Review provided by G2
    What do you like best about the product?
    I like that TiDB has native support for vectors along with full compatibility with SQL. It allows us to seamlessly use semantic similarity search while managing structured candidate data and compliance processes. Its built-in vector support means we can store embeddings and conduct cosine similarity searches directly with relational data without needing to maintain separate systems. I also value TiDB's scalability and serverless approach, which helps us handle an increasing number of resume uploads and recruiter searches without infrastructure setup or maintenance.
    What do you dislike about the product?
    One area that could use improvement is the need for more guidance and examples that specifically focus on optimizing vector search at a large scale. Although TiDB's built-in vector search support functions well, adjusting the performance of similarity searches and choosing the right indexing methods required some trial and error during development. More hands-on documentation that's relevant to real-world applications, like resume matching or recommendation systems, would help teams learn and apply best practices more quickly.
    What problems is the product solving and how is that benefiting you?
    TiDB solves the challenge of merging semantic search with structured hiring by supporting both relational data and vector searches in one scalable solution. I like its scalability, serverless approach, and SQL compatibility, which help manage resume uploads and searches without extra infrastructure setup.
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