Tacnode Context Lake™

Transformation turns raw data into meaning — filtering noise, joining sources, computing aggregations, and shaping data into features, metrics, or signals your systems can use. In Tacnode, transformations are defined declaratively in SQL and executed continuously as incremental materialized views — in real time.

→ Unlike batch ETL or Flink-style streaming jobs, Tacnode doesn't require external orchestration, complex state management, or dual pipelines.
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→ You get real-time outputs — always fresh, always consistent — without sacrificing expressive power or correctness.

Exploration is how teams interact with data — to analyze behavior, develop features, or refine logic. Whether for dashboards or ML development, it’s about investigating data in a flexible, iterative way. Tacnode supports fast, expressive SQL across structured, semi-structured, unstructured, and vector data — including complex joins, filters, and aggregations — even as data is changing.

→ Unlike streaming systems, you’re not locked into predefined pipelines. Ad hoc queries just work — with full flexibility, even on real-time data.
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→ And unlike warehouses, you're not querying stale snapshots or relying on nightly batch jobs. Tacnode gives you fresh data, full PostgreSQL semantics, and consistently fast performance.

Retrieval is how models, agents, and applications access live context — whether it’s dashboards pulling metrics, APIs fetching entity state, or AI systems requesting features at inference time. Tacnode serves transformed data with millisecond latency and full consistency — across structured, semi-structured, and vector formats.

→ You can retrieve a single entity’s features — or perform reverse retrieval to find entities matching specific conditions, filters, or vector similarity.
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→ Unlike warehouses or lakes, there’s no delay from syncs or refresh jobs. And unlike vector or NoSQL stores, Tacnode supports rich queries with filters, joins, and similarity — all in one call.
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→ Built for high concurrency and instant freshness, Tacnode retrieves exactly what you need — fast, at scale, and always consistent.

Action is where data creates impact — driving decisions, triggering logic, and enabling intelligent responses in real time. Tacnode feeds fresh, consistent context into AI agents, personalization engines, pricing systems, and operational workflows — so your systems can act within milliseconds of new data arriving.

→ Unlike traditional stacks that depend on batch syncs and delayed pipelines, Tacnode enables decisions that are both accurate and immediate.

→ From fraud detection to content ranking, your logic runs on the most current data — with the low latency and consistency modern systems demand.

Run experiments with confidence — on the same data, logic, and context used in production. Tacnode doesn’t replace your experimentation framework — it powers it with fresh, consistent data across serving and analysis.
Whether you’re testing models, business logic, or feature variants, Tacnode ensures that metrics reflect exactly what was served, with no sync delays or logic drift.

→ Define variants and metrics in SQL, and evaluate outcomes instantly — without waiting on pipelines or copying data into a warehouse.

→ Your experimentation system stays in control. Tacnode makes the results trustworthy — fast, consistent, and always current.

Adapt faster — with one system that learns and improves as your data does. Tacnode makes it easy to refine features, logic, and models based on real-time results. Because everything — from raw data to transformations to outcomes — lives in one consistent engine, you can iterate continuously without waiting for batch jobs or syncing across environments.

→ Adjust logic, retrain models, or update features based on live behavior — with no downtime and no pipeline rebuilds.
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→ From insight to improvement, Tacnode keeps your systems in sync and ready to evolve in real time.