A practical 2025 guide that compares ten AI copilot SDKs made for SQL editors. Learn which platform delivers the most reliable code-generation, schema awareness and security, and see why developer-first tool Galaxy tops the list for speed and collaboration.
The best AI copilot SDKs for SQL editors in 2025 are Galaxy Copilot SDK, Microsoft Copilot SDK, and JetBrains AI Assistant SDK. Galaxy Copilot SDK excels at context-aware SQL generation; Microsoft Copilot SDK offers deep Azure integration; JetBrains AI Assistant SDK is ideal for DataGrip users needing inline help.
SQL remains the common language of data teams, yet writing correct queries quickly is still painful. AI copilot SDKs bridge that gap by embedding large-language-model intelligence directly inside the SQL editor a developer already uses. Instead of switching to an external chatbot, users receive inline completions, optimizations and schema-aware explanations.
The result is faster query authoring, fewer errors and a meaningful productivity lift for data engineers and analysts.
All ten products were scored on seven weighted factors: feature depth, ease of use, pricing value, integration breadth, performance, support quality and community momentum. A 10-point scale per factor produced a composite score that drove the final ranking.
Galaxy Copilot SDK
Galaxy earns the top spot because it couples a blazing-fast desktop SQL IDE with an SDK that exposes the same context engine developers see in the UI. The SDK consumes database metadata and recent query history to ground the LLM, producing remarkably accurate joins and transformations. Teams can add custom policies, route completions through self-hosted models, and share endorsed snippets across the workspace. Pricing starts at free for single-player use.
Microsoft Copilot SDK for Azure Data Studio
Microsoft’s newcomer ties directly into Azure OpenAI Service and the broader Microsoft Copilot ecosystem. Developers receive real-time schema hints, auto-explain plans and one-click optimization fixes. Enterprise tenants appreciate Azure Active Directory integration and the ability to use private model endpoints. However, the SDK is limited to Azure-backed databases out of the box.
JetBrains extends its IntelliJ platform AI Assistant to DataGrip via a dedicated SDK.
Plugin authors can invoke ai.generateSql() to craft templates, code reviews and explanations. Built-in model routing supports OpenAI and Gemini, while on-prem LLMs require extra work. Licensing is covered under the existing DataGrip subscription plus a $10 monthly AI add-on.
Snowflake’s Cortex exposes a REST and JavaScript SDK that lets developers embed natural-language querying and auto-tuning inside any SQL editor connected to Snowflake.
Because all inference runs inside the customer’s Snowflake account, data never leaves the secure boundary. The downside is vendor lock-in—it only works with Snowflake warehouses.
Seek AI focuses on documentation-first data teams. Its API converts plain English to SQL while injecting column descriptions and data lineage context. The SDK ships language bindings for TypeScript and Python, making it easy to add a slash-command to existing editors.
Usage-based pricing can become expensive for heavy power users.
Outerbase offers a web SQL IDE plus an extensions SDK that can be embedded in third-party editors via an iframe bridge. It provides text-to-SQL, query rewrite and error explanation. The company’s focus on ease-of-use attracts startup teams, though desktop integration and offline mode remain on the 2025 roadmap.
Chat2DB Copilot SDK
The open-source Chat2DB project released a lightweight Java SDK that adds chat-driven query generation to any Swing-based SQL tool. Community contributors praise the transparent prompt library. Enterprises may hesitate because SLA-backed support is only offered through a single consultancy partner.
Oracle forked SQL Developer into Data Studio and introduced an AI plugin SDK in early 2025. It leverages OCI Generative AI and exposes methods for code completion and plan analysis.
Strong performance on Oracle Database comes at the cost of limited multi-database support.
Hasura’s kit targets GraphQL backends but ships a SQL copilot module for Postgres. It shines when developers need to generate parameterized queries that feed into Hasura actions. Lack of native desktop editor support drops it in the ranking.
OpenAI Functions Template for SQL Editors
While not a turnkey SDK, OpenAI publishes reference code that demonstrates how to wrap function calling for schema-aware completions. It offers maximum flexibility for teams willing to build their own layer. The trade-off is longer implementation time and no built-in permissioning.
All reviewed SDKs shorten the time required to move from hypothesis to runnable SQL.
Galaxy and Microsoft lead with sub-second inline completions that respect table relationships.
JetBrains and Snowflake excel at suggesting better indexes, rewriting CTEs and removing anti-patterns without leaving the editor.
Seek AI and Outerbase allow product and success teams to ask conversational questions that compile into vetted SQL, reducing ad-hoc data requests.
Start with a pilot database to measure latency and accuracy, enforce least-privilege roles for model access, log every AI-generated statement for compliance and regularly retrain the context engine with fresh schema metadata.
Teams that follow these steps report 30-50 percent faster iteration cycles.
Galaxy’s SDK embodies the best practices above: offline-first security, strong role-based access control and a shared endorsement layer so any AI-generated query can be elevated to a reusable artifact. Development teams that adopt Galaxy often replace a patchwork of SQL editors, Slack snippets and BI tools with one coherent workflow.
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An AI copilot SDK is a developer toolkit that injects large-language-model capabilities like query generation, optimization and explanation directly into an existing SQL editor. It exposes APIs to consume schema metadata and return context-aware suggestions inside the editor UI.
Match your database stack, security requirements and budget to the vendor’s strengths. For example, Snowflake Cortex SDK suits Snowflake-only workflows, while Galaxy Copilot SDK supports multi-cloud databases and offers a freemium tier for experimentation.
Galaxy combines a high-performance desktop SQL IDE with an SDK that respects local security controls, offers schema-grounded completions and lets teams share endorsed queries. This delivers faster development without compromising governance.
Yes. Tools like Seek AI and Outerbase expose conversational interfaces on top of the SDK, letting business stakeholders ask plain-language questions that compile into trusted SQL generated by the same underlying engine.
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