chore: fix special hyphens (#2221)

Signed-off-by: Dennis Zhuang <[email protected]>

Author: killme2008

docs/index.md

@@ -14,7 +14,7 @@ Our core developers have been building observability data platforms for years. B
 
 - **All-in-One Observability Database**: Process metrics, logs, and traces in real-time through a unified database with native [SQL](/user-guide/query-data/sql.md), [PromQL](/user-guide/query-data/promql.md), and [streaming processing](/user-guide/flow-computation/overview.md) support. It replaces complex legacy data stacks with a high-performance single solution.
 - **High-Performance Engine**: Built with Rust for high performance and reliability. Rich [indexing options](/user-guide/manage-data/data-index.md) (inverted, full-text, skip list, and vector indexing) accelerate queries, enabling sub-second responses on petabyte-scale datasets and handling hundreds of thousands of concurrent requests.
-- **Significant Cost Reduction**: Achieve up to 50x lower operational and storage costs through a compute‑storage separation [architecture](/user-guide/concepts/architecture.md). Scale flexibly across cloud storage systems (e.g., S3, Azure Blob Storage) for simplified management, dramatic cost efficiency, and no vendor lock‑in.
+- **Significant Cost Reduction**: Achieve up to 50x lower operational and storage costs through a compute-storage separation [architecture](/user-guide/concepts/architecture.md). Scale flexibly across cloud storage systems (e.g., S3, Azure Blob Storage) for simplified management, dramatic cost efficiency, and no vendor lock-in.
 - **Infinity Scalability**: Purpose-built for [Kubernetes](/user-guide/deployments-administration/deploy-on-kubernetes/greptimedb-operator-management.md) and cloud environments with industry-leading compute-storage separation. Enables unlimited scaling across cloud environments while efficiently managing cardinality explosion at a massive scale.
 - **Developer-Friendly**: Features standardized SQL and PromQL interfaces, a built-in web dashboard, REST API, and support for MySQL/PostgreSQL protocols. Widely compatible with popular data [ingestion protocols](/user-guide/protocols/overview.md) for seamless migration and integration.
 - **Flexible Deployment Options**: Deploy anywhere, from ARM-based edge devices to cloud environments, with unified APIs and bandwidth-efficient data synchronization. Query edge and cloud data seamlessly using identical APIs.

docs/user-guide/concepts/why-greptimedb.md

@@ -21,7 +21,7 @@ It replaces complex legacy data stacks with a high-performance single solution.
 
 ## Cost-Effective with Object Storage
 
-GreptimeDB leverages cloud object storage (like AWS S3 and Azure Blob Storage etc.) as its storage layer, dramatically reducing costs compared to traditional storage solutions. Its optimized columnar storage and advanced compression algorithms achieve up to 50x cost efficiency. Scale flexibly across cloud storage systems (e.g., S3, Azure Blob Storage) for simplified management, dramatic cost efficiency, and **no vendor lock‑in**.
+GreptimeDB leverages cloud object storage (like AWS S3 and Azure Blob Storage etc.) as its storage layer, dramatically reducing costs compared to traditional storage solutions. Its optimized columnar storage and advanced compression algorithms achieve up to 50x cost efficiency. Scale flexibly across cloud storage systems (e.g., S3, Azure Blob Storage) for simplified management, dramatic cost efficiency, and **no vendor lock-in**.
 
 ## High Performance
 

versioned_docs/version-1.0/index.md

@@ -14,7 +14,7 @@ Our core developers have been building observability data platforms for years. B
 
 - **All-in-One Observability Database**: Process metrics, logs, and traces in real-time through a unified database with native [SQL](/user-guide/query-data/sql.md), [PromQL](/user-guide/query-data/promql.md), and [streaming processing](/user-guide/flow-computation/overview.md) support. It replaces complex legacy data stacks with a high-performance single solution.
 - **High-Performance Engine**: Built with Rust for high performance and reliability. Rich [indexing options](/user-guide/manage-data/data-index.md) (inverted, full-text, skip list, and vector indexing) accelerate queries, enabling sub-second responses on petabyte-scale datasets and handling hundreds of thousands of concurrent requests.
-- **Significant Cost Reduction**: Achieve up to 50x lower operational and storage costs through a compute‑storage separation [architecture](/user-guide/concepts/architecture.md). Scale flexibly across cloud storage systems (e.g., S3, Azure Blob Storage) for simplified management, dramatic cost efficiency, and no vendor lock‑in.
+- **Significant Cost Reduction**: Achieve up to 50x lower operational and storage costs through a compute-storage separation [architecture](/user-guide/concepts/architecture.md). Scale flexibly across cloud storage systems (e.g., S3, Azure Blob Storage) for simplified management, dramatic cost efficiency, and no vendor lock-in.
 - **Infinity Scalability**: Purpose-built for [Kubernetes](/user-guide/deployments-administration/deploy-on-kubernetes/greptimedb-operator-management.md) and cloud environments with industry-leading compute-storage separation. Enables unlimited scaling across cloud environments while efficiently managing cardinality explosion at a massive scale.
 - **Developer-Friendly**: Features standardized SQL and PromQL interfaces, a built-in web dashboard, REST API, and support for MySQL/PostgreSQL protocols. Widely compatible with popular data [ingestion protocols](/user-guide/protocols/overview.md) for seamless migration and integration.
 - **Flexible Deployment Options**: Deploy anywhere, from ARM-based edge devices to cloud environments, with unified APIs and bandwidth-efficient data synchronization. Query edge and cloud data seamlessly using identical APIs.

versioned_docs/version-1.0/user-guide/concepts/why-greptimedb.md

@@ -21,7 +21,7 @@ It replaces complex legacy data stacks with a high-performance single solution.
 
 ## Cost-Effective with Object Storage
 
-GreptimeDB leverages cloud object storage (like AWS S3 and Azure Blob Storage etc.) as its storage layer, dramatically reducing costs compared to traditional storage solutions. Its optimized columnar storage and advanced compression algorithms achieve up to 50x cost efficiency. Scale flexibly across cloud storage systems (e.g., S3, Azure Blob Storage) for simplified management, dramatic cost efficiency, and **no vendor lock‑in**.
+GreptimeDB leverages cloud object storage (like AWS S3 and Azure Blob Storage etc.) as its storage layer, dramatically reducing costs compared to traditional storage solutions. Its optimized columnar storage and advanced compression algorithms achieve up to 50x cost efficiency. Scale flexibly across cloud storage systems (e.g., S3, Azure Blob Storage) for simplified management, dramatic cost efficiency, and **no vendor lock-in**.
 
 ## High Performance