Tacnode is a unified cloud native and cloud agnostic data platform built for massive scale. The first database that unifies real-time analytics, online retrieval, and PostgreSQL compatibility in one platform, which handling large-scale data and complex workloads with unprecedented performance, at real-time.
Tacnode is a Context Lake designed to support a range of applications, including operational databases, lakehouse solutions, online retrieval and AI solutions, all within a single product. It offers an outstanding user experience while significantly reducing barriers to data storage and utilization.
Singular Point of Truth for Your Operations, Retrieval, Lakehouse, and AI
High Performance, Distributed, Scalable: Low latency, high throughput, unlimited scalability
All Data, All Workloads: Real-time data, historical data; structured data, semi-structured data, unstructured data; transactions, online services, text search, analysis
Agile Experience: Simplified data architecture, stable and reliable, compatible with PostgreSQL
Highlights
True Real-time Lakehouse: Real-time at scale without compromise on performance, sub-second application driven analytics, zero-latency data freshness, unlimited linear scalability, and instant elasticity for dynamic workloads.
Online Retrieval/Feature Store: Omni-search for modern AI applications, real-time vector and semantic search, hybrid search across all data types, zero-latency index updates, and complete workload isolation.
PostgreSQL Compatible: Built on PostgreSQL's proven architecture with high compatibility, compatible with PostgreSQL tools, growing ecosystem of supported extensions, and optimized for both transactional and analytical workloads.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Tacnode Managed uses a single usage-based pricing dimension measured in Tacnode Usage units. You pay only for what you consume, so costs rise and fall with your actual workload. There are no fixed tiers or seat counts to choose from. Billing scales directly with usage, which reflects compute and storage activity in your environment. This model fits workloads that expand and shrink over time, since you are charged by consumption rather than a committed quantity. The unit count tracks how much you run across real-time analytics and AI decision workloads.
Top-of-mind questions for buyers
What does one Tacnode Usage unit represent for billing?
Usage is metered in credits tied to running compute. Compute runs on an hourly basis, and the credit rate reflects the edition and performance level you run. Storage is billed separately based on the compressed data you actually use, priced by real access patterns across hot, cold, and cache tiers.
Am I charged when my workload is idle or compute is not running?
Usage accrues while compute runs, since billing tracks running credits on an hourly basis. When you scale down or stop compute, those running charges stop. Storage charges still apply based on the compressed data you keep, since that data remains stored even while compute is idle.
What drives my bill — compute activity or stored data?
Both contribute. Compute credits accrue hourly while workloads run and scale with the edition and performance level. Storage is billed on the compressed data you use, split across hot, cold, and cache tiers by access pattern. Compute dominates for active, continuous workloads; storage grows with large retained datasets.
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