gdotv provides a unified IDE for developing, debugging, and visualizing queries across a wide range of graph databases, supporting languages such as Cypher, Gremlin, SPARQL, GQL, and SQL:2023. The platform offers schema‑aware autocomplete, a WebGL‑based WYSIWYG graph explorer with direct CRUD operations, and integrated debugging tools, available as a secure local desktop client or a private‑cloud deployment via AWS Marketplace.
Funding
Funding not disclosed
Founders
Product
Problem
Graph developers and data engineers often juggle multiple graph database platforms, each with its own proprietary client, query syntax, and limited debugging tools. This fragmentation forces manual schema discovery, repetitive UI switching, and insecure handling of sensitive graph data, slowing development cycles and increasing error risk.
Solution
gdotv delivers a unified, cross‑platform IDE that consolidates connection management, query authoring, and real‑time graph exploration for a broad spectrum of graph databases. The editor provides schema‑aware autocomplete and intelligent code suggestions for Cypher, Gremlin, SPARQL, GQL, SQL:2023, DQL and other standards, reducing syntax errors and accelerating query writing. Integrated debugging tools—including a Gremlin traversal simulator and step‑by‑step execution trace—let users inspect query behavior without leaving the environment. A WYSIWYG graph explorer renders tens of thousands of vertices and edges via a high‑performance WebGL engine, supporting on‑the‑fly CRUD operations directly on the visual canvas. Connection setup is streamlined through a wizard that auto‑detects authentication mechanisms (e.g., AWS IAM, Kerberos) and stores credentials locally, ensuring data never leaves the organization’s network. The desktop client runs locally, while a cloud‑deployed version is available on AWS Marketplace, giving enterprises the flexibility to choose a secure, on‑premise or private‑cloud deployment model.
Target Audience
The primary users are graph database developers, data engineers, and data scientists building knowledge graphs or graph‑based analytics within enterprises, as well as platform teams that need a consistent UI across heterogeneous graph back‑ends.
Features
- Multi‑language support for Cypher, Gremlin, SPARQL, GQL, SQL:2023, GoogleSQL, DQL, and more, with a single unified UI
- Schema‑aware autocomplete that leverages database‑provided schema APIs or dynamic discovery queries for precise suggestions
- Gremlin query debugger with traversal simulation, breakpoint‑style inspection, and detailed execution reporting
- Real‑time WYSIWYG graph explorer using WebGL rendering, customizable node/edge styling, and built‑in layout algorithms
- Interactive data editing (create, update, delete vertices/edges) directly from the visual canvas without writing additional queries
- Centralized connection manager with support for advanced auth methods (AWS IAM, Kerberos, TLS) and automatic endpoint detection
- Optional generative AI integration (OpenAI) for natural‑language query generation and visualization prompts
- Secure, local‑first deployment (desktop client) and optional AWS Marketplace web instance for private‑cloud environments