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TiDB

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uuid0007wiz

Namestring
TiDB
Legal namestring
PingCAP (operates TiDB)
Websiteurl
tidy-b.com
Company typeenum
Private
Founded yearint
2015
Descriptiontext

TiDB is an open-source distributed SQL database developed by PingCAP, a privately held company founded in 2015 and domiciled in China. The platform is built on a distributed architecture that separates compute and storage, enabling horizontal scalability, multi-region deployment, and real-time hybrid transactional/analytical processing (HTAP). Its product family consists of TiDB as the SQL layer, TiKV as the underlying distributed key-value storage engine, and TiDB Cloud as the managed service offering. Co-founder and CTO Ed Huang leads technical direction and publishes technical content on database architecture and RAG pipelines.

In 2024, PingCAP launched TiDB Vector Search, introducing native vector similarity search inside the relational database to support retrieval-augmented generation (RAG) pipelines and AI applications that need to combine structured SQL predicates with vector similarity in a single query, addressing limitations of pure vector databases around recency, scope, and security. Company-reported benchmark data shows hybrid search achieving 94% Recall@5 versus 72% for pure vector search. Revenue is generated through TiDB Cloud subscription tiers and self-managed enterprise deployments; pricing is not publicly disclosed. Customer evidence includes a Tuya Smart IoT case study showing a 75% hardware cost reduction versus prior AWS Aurora and Apache Ignite infrastructure and P99 query latency of 150 microseconds.

PingCAP pursues a product-led go-to-market motion primarily targeting AI/ML application developers building RAG workflows, with secondary use cases in IoT and financial services. Distribution spans global TiDB Cloud and self-managed deployments. Notable 2025 ecosystem activity includes partnerships with Yincubator and the Global Finance & Technology Network (GFTN) at the Singapore FinTech Festival to launch a Global Open Source AI Hub focused on open-source AI adoption in financial services. Note: the firmographic inputs (1-10 employees, Yongsan South Korea, year_founded 2021) are inconsistent with PingCAP's actual profile and reflect mis-scraped data from an unrelated entity; this analysis is grounded in the PingCAP-aligned data blocks.

Short descriptiontext

TiDB is an open-source distributed SQL database developed by PingCAP, providing HTAP processing, horizontal scalability, and native vector search that combines SQL and vector similarity queries for AI and RAG applications.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersYongsan, South Korea
HQ citystring
Yongsan
HQ countrystring
South Korea
HQ regionstring
Asia
Markets served

Serves global market

Keyword5 values
distributed SQL database, HTAP database platform, vector search database, cloud-native database, open source SQL
Industry2 codes
1Multi-Model Databases
CodeHDAEAAALPrimaryYes
2Query Engines & SQL Analytics Layers for Warehouses/Lakes
CodeHDAEABAIPrimaryNo
NAICS code1 code
  • Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services5182
SIC code1 code
  • Services-Computer Programming, Data Processing, Etc.7370
Product category
Distributed SQL Database
Social media profiles1 record
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1Database Cloud Services
TypeSubscription Recurring
Description

TiDB Cloud and self-managed TiDB deployments offering distributed SQL database services with vector search capabilities. Subscription-based model for cloud deployments with various tier options.

pingcap.com
Marketing channels3 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels2 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

TiDB is an open-source, distributed SQL database developed by PingCAP that combines horizontal scalability with hybrid transaction/analytical processing (HTAP). It separates computation and storage, supports multi-region deployments, and pairs the core platform with native vector search so that SQL predicates and vector similarity can be combined in a single query for AI/RAG, IoT, and large-scale analytical workloads.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 3 values shown
  • Hybrid search achieves 94% Recall@5 versus 72% for pure vector search
+2 more records
Product overview1 text field

TiDB is a distributed SQL database platform by PingCAP that provides a unified architecture for hybrid transaction/analytical processing (HTAP). The platform consists of TiDB as the core SQL layer with native vector search capabilities, and TiKV as the underlying distributed key-value storage engine. The architecture separates computation and storage layers, enabling horizontal scalability and multi-region deployments. TiDB Vector Search integrates vector similarity search directly into the relational database, eliminating the need for separate vector database sidecars.

Product and service3 records
1TiDB
CategoryDistributed SQL Database
Description

Distributed SQL database platform by PingCAP featuring horizontal scalability, separation of computation and storage, and real-time HTAP capabilities for OLTP and OLAP workloads, available as open-source self-managed software.

2TiDB Vector Search
CategoryVector Search / AI Database Capability
Description

Native vector search capability integrated directly into TiDB that combines vector similarity search with structured SQL predicates in a single query, enabling hybrid search for RAG pipelines and AI applications without a separate vector database sidecar.

3TiDB Cloud
CategoryManaged Cloud Database Service
Description

Fully managed cloud database service offering TiDB's hybrid search and HTAP capabilities through a subscription-based model with multiple tier options, targeting enterprises and developers via self-serve onboarding.

Scale indicator3 records

Each record includes

Type, Value, Description, Source

Partnership2 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-11-12
Description

Strategic partnership at Singapore FinTech Festival 2025 to launch the Global Open Source AI Hub. Yincubator collaborated with TiDB to unveil a strategic report on open-source AI adoption in financial services and demonstrate scalable, regulation-aware AI systems.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-11-12
Description

Partnership to launch the Global Open Source AI Hub at Singapore FinTech Festival 2025. GFTN worked with TiDB to produce strategic reports and demonstrations on open-source AI adoption in financial services.

Recent move3 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

ClickHouse is a high-performance columnar OLAP/HTAP database increasingly used for real-time analytics at scale, overlapping with TiDB's HTAP and horizontal-scalability positioning for large enterprise data workloads.

TypeBroad incumbent
Description

Google Cloud Spanner is a globally distributed relational database offered as part of Google Cloud, competing with TiDB for mission-critical, geo-distributed enterprise workloads but with the distribution and bundling advantages of a hyperscaler.

TypeDirect peer
Description

SingleStore is an HTAP distributed SQL database that has added native vector search capabilities, directly competing with TiDB's multi-model SQL+vector positioning for AI and RAG workloads on similar enterprise customers.

TypeEmerging player
Description

Milvus is an open-source vector database widely adopted for large-scale similarity search, overlapping with TiDB Vector Search in the AI retrieval infrastructure market.

TypeDirect peer
Description

MongoDB Atlas is a managed multi-model document database that has added native vector search, directly competing with TiDB's SQL+vector unified platform for AI/RAG and general-purpose application workloads.

TypeDirect peer
Description

CockroachDB is a distributed SQL database built for horizontal scale and resilience, targeting the same enterprise modernization and cloud-native OLTP use cases that TiDB pursues with its NewSQL architecture.

TypeEmerging player
Description

Pinecone is a managed vector database purpose-built for AI retrieval workloads, competing with TiDB Vector Search for the same RAG and semantic-search use cases among AI application developers.

TypeEmerging player
Description

Weaviate is an open-source vector database with hybrid search capabilities, competing for AI/RAG workloads where TiDB's hybrid SQL+vector search is also positioned.

TypeDirect peer
Description

YugabyteDB is an open-source distributed SQL database offering horizontal scalability and geo-distribution, closely matching TiDB's core distributed-SQL architecture and PostgreSQL-compatible positioning.

TypeBroad incumbent
Description

Amazon Aurora is AWS's flagship managed distributed SQL database, the incumbent alternative TiDB displaced at Tuya Smart and the default benchmark for cloud-native OLTP performance in enterprise procurement.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers1 record

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment3 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability2 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature4 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles1 record

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds2 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors3 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

TiDB

Distributed SQL Databasetidy-b.com

TiDB is an open-source distributed SQL database developed by PingCAP, providing HTAP processing, horizontal scalability, and native vector search that combines SQL and vector similarity queries for AI and RAG applications.

What TiDB does

TiDB is an open-source distributed SQL database developed by PingCAP, a privately held company founded in 2015 and domiciled in China. The platform is built on a distributed architecture that separates compute and storage, enabling horizontal scalability, multi-region deployment, and real-time hybrid transactional/analytical processing (HTAP). Its product family consists of TiDB as the SQL layer, TiKV as the underlying distributed key-value storage engine, and TiDB Cloud as the managed service offering. Co-founder and CTO Ed Huang leads technical direction and publishes technical content on database architecture and RAG pipelines.

In 2024, PingCAP launched TiDB Vector Search, introducing native vector similarity search inside the relational database to support retrieval-augmented generation (RAG) pipelines and AI applications that need to combine structured SQL predicates with vector similarity in a single query, addressing limitations of pure vector databases around recency, scope, and security. Company-reported benchmark data shows hybrid search achieving 94% Recall@5 versus 72% for pure vector search. Revenue is generated through TiDB Cloud subscription tiers and self-managed enterprise deployments; pricing is not publicly disclosed. Customer evidence includes a Tuya Smart IoT case study showing a 75% hardware cost reduction versus prior AWS Aurora and Apache Ignite infrastructure and P99 query latency of 150 microseconds.

PingCAP pursues a product-led go-to-market motion primarily targeting AI/ML application developers building RAG workflows, with secondary use cases in IoT and financial services. Distribution spans global TiDB Cloud and self-managed deployments. Notable 2025 ecosystem activity includes partnerships with Yincubator and the Global Finance & Technology Network (GFTN) at the Singapore FinTech Festival to launch a Global Open Source AI Hub focused on open-source AI adoption in financial services. Note: the firmographic inputs (1-10 employees, Yongsan South Korea, year_founded 2021) are inconsistent with PingCAP's actual profile and reflect mis-scraped data from an unrelated entity; this analysis is grounded in the PingCAP-aligned data blocks.

TiDB firmographics

Firmographics
Name
TiDB
Legal name
PingCAP (operates TiDB)
Website
https://tidy-b.com
Company type
Private
Founded year
2015
Operating status
Operating
Headcount range
11–50 employees
Short description
TiDB is an open-source distributed SQL database developed by PingCAP, providing HTAP processing, horizontal scalability, and native vector search that combines SQL and vector similarity queries for AI and RAG applications.
Ownership category
akta.pro rank

TiDB industry classification

Industry
Product category
Distributed SQL Database
NAICS
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
SIC
Services-Computer Programming, Data Processing, Etc. (7370)
akta.pro primary industry
Multi-Model Databases (HDAEAAAL)
akta.pro secondary industry
Query Engines & SQL Analytics Layers for Warehouses/Lakes (HDAEABAI)

Keywords

  • Distributed SQL database
  • HTAP database platform
  • Vector search database
  • Cloud-native database
  • Open source SQL

Where TiDB is headquartered

Location

Headquarters

HQ city
Yongsan
HQ country
South Korea
HQ region
Asia

Markets served

TiDB business model

Business model
GTM type
B2B
Offering type
Software

Revenue model

  1. Database Cloud Services: TiDB Cloud and self-managed TiDB deployments offering distributed SQL database services with vector search capabilities. Subscription-based model for cloud deployments with various tier options.

Go-to-market motion1 record

Distribution channels2 records

Marketing channels3 records

TiDB product offering

Product offering

Core offering

TiDB is an open-source, distributed SQL database developed by PingCAP that combines horizontal scalability with hybrid transaction/analytical processing (HTAP). It separates computation and storage, supports multi-region deployments, and pairs the core platform with native vector search so that SQL predicates and vector similarity can be combined in a single query for AI/RAG, IoT, and large-scale analytical workloads.

Product overview

TiDB is a distributed SQL database platform by PingCAP that provides a unified architecture for hybrid transaction/analytical processing (HTAP). The platform consists of TiDB as the core SQL layer with native vector search capabilities, and TiKV as the underlying distributed key-value storage engine. The architecture separates computation and storage layers, enabling horizontal scalability and multi-region deployments. TiDB Vector Search integrates vector similarity search directly into the relational database, eliminating the need for separate vector database sidecars.

Differentiator

Problem solved

Functional benefit

Products and services

  • TiDB Distributed SQL database platform by PingCAP featuring horizontal scalability, separation of computation and storage, and real-time HTAP capabilities for OLTP and OLAP workloads, available as open-source self-managed software.
  • TiDB Vector Search Native vector search capability integrated directly into TiDB that combines vector similarity search with structured SQL predicates in a single query, enabling hybrid search for RAG pipelines and AI applications without a separate vector database sidecar.
  • TiDB Cloud Fully managed cloud database service offering TiDB's hybrid search and HTAP capabilities through a subscription-based model with multiple tier options, targeting enterprises and developers via self-serve onboarding.

Quantifiable outcome

  • Hybrid search achieves 94% Recall@5 versus 72% for pure vector search
  • +2 more outcomes

Companies that use TiDB

Customer profile

Named customers1 record

Segments3 records

Ideal customer profiles3 records

TiDB technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability2 records

Feature4 records

TiDB partnerships and signals

Strategic signal

Partnerships

Two partnerships are on record, tiered core.

  • YincubatorcoreStrategic or Co-development Partner · 12 November 2025Strategic partnership at Singapore FinTech Festival 2025 to launch the Global Open Source AI Hub. Yincubator collaborated with TiDB to unveil a strategic report on open-source AI adoption in financial services and demonstrate scalable, regulation-aware AI systems.
  • Global Finance & Technology Network (GFTN)coreStrategic or Co-development Partner · 12 November 2025Partnership to launch the Global Open Source AI Hub at Singapore FinTech Festival 2025. GFTN worked with TiDB to produce strategic reports and demonstrations on open-source AI adoption in financial services.

Scale indicators3 records

Recent moves3 records

Expansion highlights5 records

TiDB competitors and assessment

Company assessment

Direct peers

  • ClickHouse: ClickHouse is a high-performance columnar OLAP/HTAP database increasingly used for real-time analytics at scale, overlapping with TiDB's HTAP and horizontal-scalability positioning for large enterprise data workloads.
  • SingleStore: SingleStore is an HTAP distributed SQL database that has added native vector search capabilities, directly competing with TiDB's multi-model SQL+vector positioning for AI and RAG workloads on similar enterprise customers.
  • MongoDB Atlas: MongoDB Atlas is a managed multi-model document database that has added native vector search, directly competing with TiDB's SQL+vector unified platform for AI/RAG and general-purpose application workloads.
  • CockroachDB: CockroachDB is a distributed SQL database built for horizontal scale and resilience, targeting the same enterprise modernization and cloud-native OLTP use cases that TiDB pursues with its NewSQL architecture.
  • YugabyteDB: YugabyteDB is an open-source distributed SQL database offering horizontal scalability and geo-distribution, closely matching TiDB's core distributed-SQL architecture and PostgreSQL-compatible positioning.

Broad incumbents

  • Google Cloud Spanner: Google Cloud Spanner is a globally distributed relational database offered as part of Google Cloud, competing with TiDB for mission-critical, geo-distributed enterprise workloads but with the distribution and bundling advantages of a hyperscaler.
  • Amazon Aurora: Amazon Aurora is AWS's flagship managed distributed SQL database, the incumbent alternative TiDB displaced at Tuya Smart and the default benchmark for cloud-native OLTP performance in enterprise procurement.

Emerging players

  • Milvus (Zilliz): Milvus is an open-source vector database widely adopted for large-scale similarity search, overlapping with TiDB Vector Search in the AI retrieval infrastructure market.
  • Pinecone: Pinecone is a managed vector database purpose-built for AI retrieval workloads, competing with TiDB Vector Search for the same RAG and semantic-search use cases among AI application developers.
  • Weaviate: Weaviate is an open-source vector database with hybrid search capabilities, competing for AI/RAG workloads where TiDB's hybrid SQL+vector search is also positioned.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

TiDB social profiles

Digital presence

TiDB financial estimates

Financial estimate

Revenue estimate

Valuation estimate

TiDB leadership team

Management profile

Number of profiles

Profiles1 record

TiDB funding detail

Funding detail

Funding overview

Funding rounds2 records

Investors3 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

TiDB M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about TiDB

What does TiDB do?

TiDB is an open-source, distributed SQL database developed by PingCAP that combines horizontal scalability with hybrid transaction/analytical processing (HTAP). It separates computation and storage, supports multi-region deployments, and pairs the core platform with native vector search so that SQL predicates and vector similarity can be combined in a single query for AI/RAG, IoT, and large-scale analytical workloads.

Is TiDB a public or private company?

TiDB is a private company. It is classified as venture growth investor backed and is currently operating.

When was TiDB founded?

TiDB was founded in 2015. It employs 11 to 50 people.

Where is TiDB based?

TiDB is headquartered in Yongsan, South Korea, in the Asia region.

How does TiDB make money?

One revenue line is on record: database Cloud Services.

Who are TiDB's main competitors?

Direct peers on record are ClickHouse, SingleStore, MongoDB Atlas, CockroachDB and YugabyteDB. Broad incumbents are Google Cloud Spanner and Amazon Aurora. Emerging players are Milvus (Zilliz), Pinecone and Weaviate.

Does TiDB have an API?

No public API is recorded for TiDB.

What industry is TiDB in?

TiDB's product category is Distributed SQL Database. Its primary akta.pro industry code is HDAEAAAL, Multi-Model Databases, with a secondary code of HDAEABAI, Query Engines & SQL Analytics Layers for Warehouses/Lakes. Its NAICS code is 5182 and its SIC code is 7370.

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Live signals
Venturesquare"There were products, but there was no brand"... The reason CEO Jang Jong-hwa created the AI branding platform 'Yobi'CEO Jang Jong-hwa of Tidy-B created the AI branding platform Yo-B after seeing startups with products but no brand. He says branding is a survival strategy, and AI helps people build brands rather than replacing them. He predicts brands will become more important as technology standardizes.Venturesquare"Representative, I don't think that's right"... How the AI branding startup TidyBee worksTidyB, an AI branding startup, developed its Yo-B platform through customer interviews and iterative testing, with designers and developers crossing roles. The service name was chosen from 96 customer feedback sessions, and the company emphasizes execution over ideas. CEO Jang Jong-hwa advises entrepreneurs to meet customers directly.PR Newswire APACTiDB Launches Agent State Stack at SuperAI Summit Singapore, Gives AI Agents Production-Grade MemoryTiDB launched the TiDB Agent State Stack at SuperAI Summit Singapore, combining TiDB Cloud Zero, mem9, and drive9 to give AI agents durable memory and persistent state. The stack aims to help enterprises move agents from prototype to production, addressing a gap where only 15% of organizations use fully autonomous agents.The New StackThe laptop return that broke a RAG pipelineThis is a technical blog post by Ed Huang, co-founder and CTO of TiDB (PingCAP), explaining why pure vector search in RAG pipelines fails to handle recency, scope, and security constraints, using a laptop return scenario where an agent retrieved a deprecated 2023 policy instead of the current one. The author proposes hybrid search as the solution—a single database query combining vector similarity with structured SQL predicates that addresses stale documents, cross-tenant leaks, and categorical ranking. The article includes benchmark data showing hybrid search achieves 94% Recall@5 versus 72% for pure vector, and argues that the "vector sidecar" architecture (separate vector database alongside relational DB) creates consistency, security, and operational problems best solved by native vector support in a unified database.PingCAPBest Vector Database for RAG (2026 Guide)The article discusses the evaluation and ranking of vector databases suitable for Retrieval-Augmented Generation (RAG) and AI applications in 2026. It emphasizes factors such as retrieval quality, filtering, hybrid support, ecosystem integration, and operational readiness, highlighting TiDB Vector Search as a recommended option for combined SQL and vector search.PR NewswireOpen Source AI Powers a New Era at Singapore FinTech Festival 2025 with the Launch of Global Hub and Future-Building InitiativesThe 10th Singapore FinTech Festival held from November 12–14, 2025, marked the launch of the Global Open Source AI Hub, officiated by Singapore's Senior Minister of State for Digital Development and Information, Mr. Tan Kiat How, reinforcing Singapore's role as a neutral platform for open-source AI collaboration in financial services. TiDB, in partnership with Yincubator and the Global Finance & Technology Network (GFTN), unveiled a strategic report on open-source AI adoption and demonstrated scalable, regulation-aware AI systems at the event. The festival drew over 70,000 policymakers, technologists, and industry leaders from 130 countries, showcasing live demonstrations and introducing initiatives like the Born Global Package to support AI-native startups.PingCAPOvercoming IoT Scalability and Reliability ChallengesThis article examines the scalability and reliability challenges facing IoT networks, including data management at scale, connectivity issues, security vulnerabilities, and single points of failure, while proposing distributed database solutions as a technical remedy. The piece focuses on TiDB's architecture, highlighting its horizontal scalability, separation of computation and storage, real-time hybrid transaction/analytical processing capabilities, and multi-region deployment features. A case study profiles Tuya Smart, which after unsuccessful trials with AWS Aurora and Apache Ignite, implemented TiKV and achieved a 75% reduction in hardware costs alongside P99 query latency of 150 microseconds and write latency of 360 microseconds.