feat: hypercore page.

use-timescale/hypercore.md

@@ -0,0 +1,45 @@
+---
+title: Hypercore
+excerpt: The Timescale hybrid row-columnar storage engine for real-time analytics, powered by time-series data
+products: [cloud,]
+keywords: [hyperscore, hypertable, compression, row-columnar storage, hypercore, hyperstore]
+---
+
+# Hypercore
+
+Hypercore is the Timescale hybrid row-columnar storage engine, designed specifically for 
+real-time analytics and powered by time-series data. The advantage of hypercore is its ability 
+to seamlessly switch between row-oriented and column-oriented storage. This flexibility enables 
+Timescale Cloud to deliver the best of both worlds, solving the key challenges in real-time analytics: 
+
+- High ingest throughput
+- Low-latency ingestion 
+- Fast query performance
+- Efficient handling of data updates and late-arriving data 
+- Streamlined data management
+
+Currently, much of this functionality is available as [compression][compression]. However, we are actively 
+updating our APIs and docs so you can more easily integrate the following features under the hypercore umbrella.
+
+Hypercore’s hybrid approach combines the benefits of row-oriented and column-oriented formats 
+in each Timescale Cloud service:
+
+- **Fast ingest with Rowstore**: new data is initially written to the rowstore, it is optimized for 
+  high-speed inserts and updates. This process ensures that real-time applications easily handle 
+  rapid streams of incoming data. Mutability—upserts, updates, and deletes happen seamlessly.
+
+- **Efficient analytics with Columnstore**: as the data _cools_ and becomes more suited for 
+  analytics, it is automatically migrated to the columnstore. Your data is compressed into small 
+  batches and organized for efficient, large-scale queries. This columnar format enables for 
+  fast scanning and aggregation, optimizing performance for analytical workloads while also 
+  saving significant storage space.
+
+- **Full mutability with transactional semantics**: regardless of where data is stored,
+  hypercore provides full ACID support. Like in a vanilla Postgres database, inserts and updates 
+  to the rowstore and columnstore are always consistent, and available to queries as soon as they are 
+  completed.
+
+![Hypercore workflow](https://assets.timescale.com/docs/images/hypercore-overview.png)
+
+
+[compression]: /use-timescale/:currentVersion:/compression/

use-timescale/page-index/page-index.js

@@ -397,6 +397,11 @@ module.exports = [
           },
         ],
       },
+      {
+        title: "Hypercore",
+        href: "hypercore",
+        excerpt: "The Timescale hybrid row-columnar storage engine for real-time analytics, powered by time-series data",
+      },
       {
         title: "Hypertables",
         href: "hypertables",