Bidtracer has been built specifically for the MEP/BAC industry for both construction and service side including but not limited to CRM, Bid Management, Invitation to Bid, BAC Estimating, BAC Engineering, Project Management, Service Agreement, Service Work Orders, Service Repair, Service Projects all built natively in the cloud. Estimating/engineering established live pricing with numerous manufacturers such as JCI, Distech Controls, ABB, Carrier, ALC and many peripheral distributors such as Kele, Alps, Belimo, Siral, Bray. If you haven’t imported it yet, we can import it multiple times throughout the year. Our system caters to businesses of all sizes and accommodates users from various roles such as: estimators, engineers, PMs, sales, executive, and field workers. It includes rich reporting features with customizable reports, charts, and graphs to enable companies to analyze their data in real-time.
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DataHub Cloud is an event-driven AI & Data Context Platform that uses active metadata for real-time visibility across your entire data ecosystem. Unlike traditional data catalogs that provide outdated snapshots, DataHub Cloud instantly propagates changes, automatically enforces policies, and connects every data source across platforms with 100+ pre-built connectors.
Built on an open source foundation with a thriving community of 13,000+ members, DataHub gives you unmatched flexibility to customize and extend without vendor lock-in. DataHub Cloud is a modern metadata platform with REST and GraphQL APIs that optimize performance for complex queries, essential for AI-ready data management and ML lifecycle support.
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Apache TinkerPop
Apache TinkerPop™ is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP). Gremlin is the graph traversal language of Apache TinkerPop. Gremlin is a functional, data-flow language that enables users to succinctly express complex traversals on (or queries of) their application's property graph. Every Gremlin traversal is composed of a sequence of (potentially nested) steps. A graph is a structure composed of vertices and edges. Both vertices and edges can have an arbitrary number of key/value pairs called properties. Vertices denote discrete objects such as a person, a place, or an event. Edges denote relationships between vertices. For instance, a person may know another person, have been involved in an event, and/or have recently been at a particular place. If a user's domain is composed of a heterogeneous set of objects (vertices) that can be related to one another in a multitude of ways (edges).
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