--- title: "NeumAI vs tidb" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/neumtry-neumai-vs-pingcap-tidb" tools: ["neumtry-neumai", "pingcap-tidb"] --- # NeumAI vs tidb *GraphCanon updated Aug 21, 2026* ## Verdict Pick NeumAI if neumAI stands out in the space of managing large-scale vector embeddings, offering tools tailored for operations such as retrieval-augmented generation (RAG). Users looking to self-host embeddings management with an open; pick tidb if tiDB is a scalable, cloud-native database that supports both transactional and analytical processing with ACID guarantees. [NeumAI](https://neum.ai) reports 867 GitHub stars, 50 forks, and 9 open issues, last pushed Jan 15, 2024. [tidb](https://www.tidb.io/) has 40k stars, 6.2k forks, and 6.8k open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [NeumAI's repository](https://github.com/NeumTry/NeumAI) and [tidb's repository](https://github.com/pingcap/tidb). | | [NeumAI](/tools/neumtry-neumai.md) | [tidb](/tools/pingcap-tidb.md) | | --- | --- | --- | | Tagline | Framework to manage creation and synchronization of vector embeddings at large scale | Scalable, cloud-native database with ACID transactions and vector search support. | | Stars | 867 | 40,446 | | Forks | 50 | 6,223 | | Open issues | 9 | 6,787 | | Language | Python | Go | | Adopt for | NeumAI stands out in the space of managing large-scale vector embeddings, offering tools tailored for operations such as retrieval-augmented generation (RAG). Users looking to self-host embeddings management with an open | TiDB is a scalable, cloud-native database that supports both transactional and analytical processing with ACID guarantees. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [NeumAI](/tools/neumtry-neumai.md) | [tidb](/tools/pingcap-tidb.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 948d | 0d | | Open issues (now) | 9 | 6.8k | | Stars delta | +3 (30d) | +134 (30d) | | Open issues delta | 0 (30d) | +230 (30d) | | Full report | [trust report](/tools/neumtry-neumai/trust.md) | [trust report](/tools/pingcap-tidb/trust.md) | ## Decision facts: NeumAI - **Pricing:** freemium - Offers an open-source model under the Apache-2.0 license, potentially featuring a free-tier with premium/support options. - **Requirements:** Requires Python and compatibility with infrastructure that supports its backend architecture.; Contact their team at founders@tryneum.com for self-hosting. - **Adopt for:** NeumAI stands out in the space of managing large-scale vector embeddings, offering tools tailored for operations such as retrieval-augmented generation (RAG). Users looking to self-host embeddings management with an open ## Decision facts: tidb - **Adopt for:** TiDB is a scalable, cloud-native database that supports both transactional and analytical processing with ACID guarantees. ## Choose when ### Choose NeumAI if… - NeumAI is primarily Python; tidb is Go. - Pricing: Offers an open-source model under the Apache-2.0 license, potentially featuring a free-tier with premium/support options.. - Requirements: Requires Python and compatibility with infrastructure that supports its backend architecture.; Contact their team at founders@tryneum.com for self-hosting.. - Tags unique to NeumAI: data-engineering, embeddings, etl, llmops. - When you require robust and scalable infrastructure specifically designed for creating and synchronizing vector embeddings at scale. ### Choose tidb if… - tidb is primarily Go; NeumAI is Python. - Tags unique to tidb: agent, agent-context, agent-memory, agentic. - tidb ships Docker support for self-hosted deployment. - When your workload requires high scalability and you need both transactional and analytical operations (HTAP) without performance degradation. TiDB's distributed architecture ensures consistent low延迟的 ## When NOT to use NeumAI - When your project requires customization beyond what the provided architecture allows, without the support expected from commercial offerings or competitive open-source frameworks. - If your needs are simpler and don't demand large-scale operations, NeumAI’s capabilities focused on handling vast vector sets may be excessive for smaller projects. ## When NOT to use tidb - If your primary focus is on a traditional relational database with limited transactional and minimal analytics needs, TiDB's complexity and overhead may not be justified. - ，TiDB。 - If you require strong geographic data distribution requirements that exceed the capabilities of a single database system, consider whether TiDB’s distributed setup meets your specific geographical and ## Common questions ### What is the difference between NeumAI and tidb? NeumAI: Framework to manage creation and synchronization of vector embeddings at large scale. tidb: Scalable, cloud-native database with ACID transactions and vector search support.. See the comparison table for live GitHub stats and shared categories. ### When should I choose NeumAI over tidb? Choose NeumAI over tidb when NeumAI is primarily Python; tidb is Go; Pricing: Offers an open-source model under the Apache-2.0 license, potentially featuring a free-tier with premium/support options.; Requirements: Requires Python and compatibility with infrastructure that supports its backend architecture.; Contact their team at founders@tryneum.com for self-hosting.; Tags unique to NeumAI: data-engineering, embeddings, etl, llmops; When you require robust and scalable infrastructure specifically designed for creating and synchronizing vector embeddings at scale. ### When should I choose tidb over NeumAI? Choose tidb over NeumAI when tidb is primarily Go; NeumAI is Python; Tags unique to tidb: agent, agent-context, agent-memory, agentic; tidb ships Docker support for self-hosted deployment; When your workload requires high scalability and you need both transactional and analytical operations (HTAP) without performance degradation. TiDB's distributed architecture ensures consistent low延迟的. ### When should I avoid NeumAI? When your project requires customization beyond what the provided architecture allows, without the support expected from commercial offerings or competitive open-source frameworks. If your needs are simpler and don't demand large-scale operations, NeumAI’s capabilities focused on handling vast vector sets may be excessive for smaller projects. ### When should I avoid tidb? If your primary focus is on a traditional relational database with limited transactional and minimal analytics needs, TiDB's complexity and overhead may not be justified. ，TiDB。 If you require strong geographic data distribution requirements that exceed the capabilities of a single database system, consider whether TiDB’s distributed setup meets your specific geographical and ### Is NeumAI or tidb more popular on GitHub? tidb has more GitHub stars (40,446 vs 867). Stars measure visibility, not whether either tool fits your constraints. ### Are NeumAI and tidb open source? Yes - both are open-source projects on GitHub (NeumAI: Apache-2.0, tidb: Apache-2.0). ### Where can I find alternatives to NeumAI or tidb? GraphCanon lists graph-backed alternatives at [NeumAI alternatives](/tools/neumtry-neumai/alternatives) and [tidb alternatives](/tools/pingcap-tidb/alternatives) ([NeumAI markdown twin](/tools/neumtry-neumai/alternatives.md), [tidb markdown twin](/tools/pingcap-tidb/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/neumtry-neumai-vs-pingcap-tidb.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, NeumAI or tidb? NeumAI: Dormant. tidb: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for NeumAI and tidb? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [NeumAI trust report](/tools/neumtry-neumai/trust); [tidb trust report](/tools/pingcap-tidb/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=neumtry-neumai`](/api/graphcanon/graph?tool=neumtry-neumai) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_