{"id":1429,"date":"2026-09-30T16:04:55","date_gmt":"2026-09-30T16:04:55","guid":{"rendered":"https:\/\/www.kingbaseglobal.com\/blog\/tech-blog\/oracle-rac-alternatives-architecture-evaluation\/"},"modified":"2026-09-30T16:04:55","modified_gmt":"2026-09-30T16:04:55","slug":"oracle-rac-alternatives-architecture-evaluation","status":"publish","type":"post","link":"https:\/\/www.kingbaseglobal.com\/blog\/tech-blog\/oracle-rac-alternatives-architecture-evaluation\/","title":{"rendered":"Oracle RAC Alternatives_ Architecture Evaluation"},"content":{"rendered":"<p><img decoding=\"async\" src=\"https:\/\/kingbase-bbs.oss-cn-beijing.aliyuncs.com\/qywx\/blogImage\/6ff97588-2624-493f-9dcb-41bf4de84aa2.webp\" alt=\"Close-up of a minimalist control console with unlabeled interfaces under focused lighting, representing architectural evaluation.\" \/><\/p>\n<h2>The Hidden TCO of Oracle RAC: Beyond Licensing Fees<\/h2>\n<p>The visible cost of Oracle RAC is the license fee. The hidden costs are often more significant for enterprise IT budgets. These include specialized personnel requirements, hardware constraints, and the operational overhead of managing a shared-disk environment.<\/p>\n<p>Oracle RAC relies on a shared-disk architecture where multiple nodes access the same storage via NAS or SAN. This design requires sophisticated interconnects to maintain data consistency across nodes using technologies like Cache Fusion. While effective for high availability, this architecture imposes specific operational burdens:<\/p>\n<ul>\n<li><strong>Specialized Skill Requirements:<\/strong> Managing RAC requires DBAs with deep expertise in Oracle-specific internals, including Global Cache Service (GCS) and Automatic Storage Management (ASM). This limits the talent pool and increases recruitment and training costs.<\/li>\n<li><strong>Hardware Rigidity:<\/strong> RAC performance is tightly coupled with specific hardware configurations. The shared storage layer becomes a single point of contention. If the storage network or SAN switches cannot keep up with the cache fusion traffic, the entire cluster\u2019s performance degrades.<\/li>\n<li><strong>Operational Complexity:<\/strong> Routine tasks like adding nodes or expanding storage often require careful planning to avoid downtime. The complexity of managing a shared-disk environment increases the risk of human error, which can lead to outages.<\/li>\n<\/ul>\n<p>For enterprise IT leaders, these hidden costs accumulate over a three-to-five-year horizon. The decision to migrate often stems from a desire to simplify the infrastructure stack and reduce dependency on specialized Oracle skills.<\/p>\n<h2>Shared-Disk vs. Shared-Nothing: Choosing the Right Architecture<\/h2>\n<p>The core architectural decision in replacing RAC is choosing between a Shared-Disk model and a Shared-Nothing model. Each has distinct implications for scalability, consistency, and migration effort.<\/p>\n<h3>Shared-Disk Architecture (RAC-like)<\/h3>\n<p>Shared-disk architectures, such as Oracle RAC or KingbaseES RAC, use independent CPUs and RAM at each node but share storage via a network-attached storage (NAS) or Storage Area Network (SAN).<\/p>\n<ul>\n<li><strong>Consistency Model:<\/strong> These systems use clusterware to manage the shared file system and voting areas. They often employ &quot;cache fusion&quot; mechanisms over an internal network to synchronize data blocks between nodes, ensuring strong consistency.<\/li>\n<li><strong>Scalability Limits:<\/strong> As the number of nodes increases, the interconnect traffic for cache synchronization grows, leading to potential contention and locking overhead. This limits horizontal scalability.<\/li>\n<li><strong>Best Fit:<\/strong> This model is ideal for workloads that require strict ACID compliance and minimal code changes to existing applications. It mimics the behavior of traditional monolithic databases.<\/li>\n<\/ul>\n<h3>Shared-Nothing Architecture (Sharding)<\/h3>\n<p>Shared-nothing architectures, such as KingbaseES Sharding or other distributed database systems, distribute data across nodes with independent storage. Each node operates independently, communicating only when necessary for distributed transactions.<\/p>\n<ul>\n<li><strong>Scalability Model:<\/strong> These systems are designed for horizontal scalability. Adding nodes increases both compute and storage capacity linearly. There is no shared storage bottleneck.<\/li>\n<li><strong>Consistency Model:<\/strong> They often rely on logical replication and distributed transaction management to maintain data consistency. This can introduce slight latency differences compared to shared-disk models but offers superior throughput for high-concurrency workloads.<\/li>\n<li><strong>Best Fit:<\/strong> This model is suitable for business logic that can be decoupled or sharded. It is ideal for massive time-series data collection, high-concurrency transaction processing (TP), and scenarios requiring significant capacity expansion.<\/li>\n<\/ul>\n<h3>Architectural Selection Criteria<\/h3>\n<table>\n<thead>\n<tr>\n<th style=\"text-align:left\">Feature<\/th>\n<th style=\"text-align:left\">Shared-Disk (e.g., KingbaseES RAC)<\/th>\n<th style=\"text-align:left\">Shared-Nothing (e.g., KingbaseES Sharding)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align:left\"><strong>Primary Goal<\/strong><\/td>\n<td style=\"text-align:left\">High Availability, Strong Consistency<\/td>\n<td style=\"text-align:left\">Horizontal Scalability, High Throughput<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><strong>Storage Model<\/strong><\/td>\n<td style=\"text-align:left\">Shared NAS\/SAN<\/td>\n<td style=\"text-align:left\">Independent Local\/Network Storage<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><strong>Scalability<\/strong><\/td>\n<td style=\"text-align:left\">Vertical or Limited Horizontal<\/td>\n<td style=\"text-align:left\">Linear Horizontal<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><strong>Migration Effort<\/strong><\/td>\n<td style=\"text-align:left\">Low (Zero-code change possible)<\/td>\n<td style=\"text-align:left\">Medium to High (Requires logic decoupling)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><strong>Workload Fit<\/strong><\/td>\n<td style=\"text-align:left\">Complex Queries, Legacy OLTP<\/td>\n<td style=\"text-align:left\">High Concurrency, Decoupled Logic<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Migration Risks: Achieving Zero-Code Replacement for Legacy Oracle Apps<\/h2>\n<p>The primary fear in migrating from Oracle RAC is the risk of application failure due to syntax differences, stored procedure incompatibilities, or data integrity issues. For enterprises with legacy Oracle applications, a &quot;zero-code-change&quot; migration path is critical.<\/p>\n<p>KingbaseES offers a specific component called Trusted Data Cluster (TDC) designed to address this risk. TDC is positioned as a solution for smooth, zero-code-change replacement of Oracle RAC. This approach minimizes the need for extensive application refactoring, which is often the most time-consuming and risky part of a database migration.<\/p>\n<h3>Migration Strategy Steps<\/h3>\n<ol>\n<li><strong>Assess Application Coupling:<\/strong> Determine if the application can run on a shared-disk architecture without modification. If the application relies heavily on Oracle-specific features, a shared-disk alternative like KingbaseES RAC with TDC is the lower-risk path.<\/li>\n<li><strong>Evaluate Business Logic for Sharding:<\/strong> If the business logic can be decoupled into independent units, consider KingbaseES Sharding. This requires more upfront architectural planning but offers better long-term scalability.<\/li>\n<li><strong>Data Integrity Verification:<\/strong> Implement a rigorous data verification process during migration. This includes comparing row counts, checksums, and transaction logs between the source Oracle RAC and the target database.<\/li>\n<li><strong>Phased Rollout:<\/strong> Deploy the new database in a parallel environment. Run mixed workloads to validate performance and consistency before cutting over production traffic.<\/li>\n<\/ol>\n<p>KingbaseES TDC has been used in scenarios such as office platforms, public resource trading platforms, and ecological red line supervision platforms, demonstrating its capability to handle enterprise-grade workloads with minimal code changes.<\/p>\n<h2>High Availability Architecture: Cache Fusion vs. Standby Clusters<\/h2>\n<p>High availability (HA) is a key driver for choosing RAC. Enterprises need to understand how alternative architectures handle failover and disaster recovery (DR) to ensure they can meet their data protection requirements.<\/p>\n<h3>KingbaseES RAC: Shared-Disk HA<\/h3>\n<p>KingbaseES RAC provides high availability through a shared-disk architecture. It uses Clusterware to manage the cluster file system, voting areas, and data areas.<\/p>\n<ul>\n<li><strong>Cache Fusion:<\/strong> Data synchronization between nodes occurs via an internal network using cache fusion technology. This ensures that all nodes have a consistent view of the data.<\/li>\n<li><strong>Storage Reliability:<\/strong> The shared storage layer must be highly reliable. KingbaseES RAC storage configuration typically requires RAID or replication for fault tolerance, with at least two LUNs and a Fibre Channel (FC) storage network. This mirrors the hardware dependencies of Oracle RAC but within a different software stack.<\/li>\n<\/ul>\n<h3>KingbaseES Sharding: Distributed HA<\/h3>\n<p>KingbaseES Sharding achieves high availability through distributed replication and failover mechanisms.<\/p>\n<ul>\n<li><strong>Independent Nodes:<\/strong> Each node has its own storage. If one node fails, the others continue to operate.<\/li>\n<li><strong>Logical Replication:<\/strong> Data consistency is maintained through logical replication or distributed transactions. This approach avoids the locking overhead of shared-disk systems but requires careful management of data distribution.<\/li>\n<\/ul>\n<h3>Comparison of HA Mechanisms<\/h3>\n<table>\n<thead>\n<tr>\n<th style=\"text-align:left\">Feature<\/th>\n<th style=\"text-align:left\">KingbaseES RAC (Shared-Disk)<\/th>\n<th style=\"text-align:left\">KingbaseES Sharding (Shared-Nothing)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align:left\"><strong>HA Mechanism<\/strong><\/td>\n<td style=\"text-align:left\">Clusterware + Cache Fusion<\/td>\n<td style=\"text-align:left\">Distributed Replication + Failover<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><strong>Storage Dependency<\/strong><\/td>\n<td style=\"text-align:left\">High (Shared SAN\/NAS)<\/td>\n<td style=\"text-align:left\">Low (Independent Node Storage)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><strong>Failover Speed<\/strong><\/td>\n<td style=\"text-align:left\">Fast (Node-level failover)<\/td>\n<td style=\"text-align:left\">Variable (Depends on replication lag)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><strong>Data Consistency<\/strong><\/td>\n<td style=\"text-align:left\">Strong (Shared memory view)<\/td>\n<td style=\"text-align:left\">Eventual or Strong (via replication)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><strong>Disaster Recovery<\/strong><\/td>\n<td style=\"text-align:left\">Requires robust shared storage DR<\/td>\n<td style=\"text-align:left\">Requires data replication to secondary sites<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Enterprises must evaluate their DR requirements against these architectural differences. Shared-disk systems offer simpler data consistency but higher storage complexity. Shared-nothing systems offer better scalability but require more complex replication management.<\/p>\n<h2>Infrastructure Prerequisites for Enterprise-Grade Clusters<\/h2>\n<p>Deploying a high-availability database cluster requires careful attention to hardware and infrastructure specifications. Underestimating these requirements can lead to performance bottlenecks and stability issues.<\/p>\n<h3>KingbaseES RAC Hardware Requirements<\/h3>\n<p>For KingbaseES RAC, the hardware configuration is critical to support the shared-disk architecture and cache fusion traffic.<\/p>\n<ul>\n<li><strong>CPU:<\/strong> Minimum 16-core X64 CPUs per node. Higher core counts help handle the overhead of cache fusion and cluster management.<\/li>\n<li><strong>Memory:<\/strong> Minimum 32GB RAM per node. Sufficient memory is needed to cache frequently accessed data blocks and reduce disk I\/O.<\/li>\n<li><strong>Local Disk:<\/strong> Minimum 200GB local disk per node. This is used for the database software, logs, and temporary files.<\/li>\n<li><strong>Shared Storage:<\/strong> Requires RAID or replication for fault tolerance. At least two LUNs are recommended. A Fibre Channel (FC) storage network is typically required for low-latency access.<\/li>\n<\/ul>\n<h3>KingbaseES Sharding Hardware Requirements<\/h3>\n<p>KingbaseES Sharding distributes data across nodes, so the hardware requirements are more about compute and local storage per shard.<\/p>\n<ul>\n<li><strong>CPU:<\/strong> Sufficient cores to handle the local transaction load.<\/li>\n<li><strong>Memory:<\/strong> Sufficient RAM for local query processing and caching.<\/li>\n<li><strong>Storage:<\/strong> High-performance local disks or SSDs for each node to ensure low-latency data access.<\/li>\n<\/ul>\n<h3>Infrastructure Checklist<\/h3>\n<ul>\n<li class=\"task-list-item\"><strong>Network:<\/strong> Low-latency, high-bandwidth interconnects for cache fusion (RAC) or distributed transactions (Sharding).<\/li>\n<li class=\"task-list-item\"><strong>Storage:<\/strong> SAN\/NAS with RAID 10 or higher for RAC. High-IOPS local storage for Sharding.<\/li>\n<li class=\"task-list-item\"><strong>OS:<\/strong> Supported Linux distributions with tuned kernel parameters for database workloads.<\/li>\n<li class=\"task-list-item\"><strong>Monitoring:<\/strong> Tools like Kmonitor for real-time performance monitoring and alerting.<\/li>\n<\/ul>\n<h2>Performance Parity: Evaluating Complex Query Workloads<\/h2>\n<p>A common concern in database migration is the performance delta for complex SQL queries. Enterprises need to ensure that the alternative database can handle their existing workload without significant degradation.<\/p>\n<h3>Oracle RAC Performance Profile<\/h3>\n<p>Oracle RAC excels at complex query processing and analytical workloads due to its optimized optimizer and shared memory architecture. It provides strong consistency and high throughput for OLTP workloads, but performance can be limited by cache fusion contention as the cluster scales.<\/p>\n<h3>KingbaseES Performance Profile<\/h3>\n<p>KingbaseES offers different performance profiles depending on the architecture chosen.<\/p>\n<ul>\n<li><strong>KingbaseES RAC:<\/strong> Designed for smooth replacement with zero code changes, aiming to maintain application functionality without requiring architectural refactoring. Performance characteristics should be validated through independent benchmarking.<\/li>\n<li><strong>KingbaseES Sharding:<\/strong> Offers superior performance for high-concurrency transaction processing (TP) workloads. It scales horizontally, allowing enterprises to add nodes to handle increased load. However, complex analytical queries may require distributed execution planning, which can introduce latency.<\/li>\n<\/ul>\n<h3>Evaluating Performance<\/h3>\n<ul>\n<li><strong>Workload Analysis:<\/strong> Identify the mix of OLTP and OLAP queries in the current environment.<\/li>\n<li><strong>Benchmarking:<\/strong> Conduct independent benchmarks comparing the current Oracle RAC performance with the target database under similar workloads. Specific TPC-C or TPC-H benchmark results vary by workload and configuration; independent benchmarking is required to verify performance deltas.<\/li>\n<li><strong>Query Optimization:<\/strong> Review and optimize complex SQL queries for the target database. Different optimizers may handle joins and aggregations differently.<\/li>\n<\/ul>\n<p>KingbaseES Sharding is particularly suitable for business logic that can be decoupled, requiring high concurrency, capacity, and throughput expansion. For complex query processing that requires minimal changes, KingbaseES RAC is a viable option.<\/p>\n<h2>Decision Matrix for Oracle RAC Alternatives<\/h2>\n<p>Selecting the right alternative to Oracle RAC requires a structured evaluation of business symptoms against architectural capabilities. Use the following matrix to score your specific workload constraints.<\/p>\n<table>\n<thead>\n<tr>\n<th style=\"text-align:left\">Criterion<\/th>\n<th style=\"text-align:left\">Shared-Disk (KingbaseES RAC)<\/th>\n<th style=\"text-align:left\">Shared-Nothing (KingbaseES Sharding)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align:left\"><strong>Zero-Code Migration<\/strong><\/td>\n<td style=\"text-align:left\">High<\/td>\n<td style=\"text-align:left\">Low<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><strong>Horizontal Scalability<\/strong><\/td>\n<td style=\"text-align:left\">Low<\/td>\n<td style=\"text-align:left\">High<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><strong>Complex Query Support<\/strong><\/td>\n<td style=\"text-align:left\">High<\/td>\n<td style=\"text-align:left\">Medium<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><strong>Hardware Complexity<\/strong><\/td>\n<td style=\"text-align:left\">High (Shared Storage)<\/td>\n<td style=\"text-align:left\">Low (Independent Nodes)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><strong>Operational Simplicity<\/strong><\/td>\n<td style=\"text-align:left\">Medium<\/td>\n<td style=\"text-align:left\">High<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><strong>Best For<\/strong><\/td>\n<td style=\"text-align:left\">Legacy Apps, Strict Consistency<\/td>\n<td style=\"text-align:left\">High Concurrency, Decoupled Logic<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>Next Steps<\/h3>\n<ol>\n<li><strong>Define Workload Profile:<\/strong> Categorize your applications into &quot;Legacy\/Complex&quot; and &quot;High-Concurrency\/Scalable.&quot;<\/li>\n<li><strong>Proof of Concept (PoC):<\/strong> Conduct a PoC for both KingbaseES RAC and KingbaseES Sharding. Test migration tools, performance, and HA failover scenarios.<\/li>\n<li><strong>TCO Analysis:<\/strong> Calculate the three-to-five-year TCO, including hardware, licensing, and personnel costs for each option.<\/li>\n<li><strong>Vendor Engagement:<\/strong> Engage with KingbaseES or other commercial vendors to validate architectural claims and support capabilities.<\/li>\n<\/ol>\n<p>KingbaseES is a commercial database product that offers both Shared-Disk and Shared-Nothing architectures. It is one of several viable candidates for enterprises evaluating alternatives to Oracle RAC. The choice depends on mapping specific business symptoms to the correct clustering paradigm, ensuring that the selected solution meets both current performance needs and future scalability goals.<\/p>\n<h2>FAQ<\/h2>\n<h3>Which database platform offers the best balance of performance, cost, and ease of migration for our specific workload?<\/h3>\n<p>The best balance depends on your application&#8217;s coupling. For legacy applications requiring zero-code migration and strict consistency, a shared-disk architecture like KingbaseES RAC offers high ease of migration. For high-concurrency workloads with decoupled logic, a shared-nothing architecture like KingbaseES Sharding offers better scalability and cost-efficiency. Evaluate your workload profile against the decision matrix provided.<\/p>\n<h3>What are the hidden costs and operational complexities of switching from Oracle RAC to an alternative?<\/h3>\n<p>Hidden costs include specialized DBA skills, hardware dependencies (such as FC storage for shared-disk systems), and migration risks. Operational complexity varies by architecture. Shared-disk systems require robust storage management, while shared-nothing systems require distributed data management. KingbaseES RAC reduces migration risk through zero-code-change capabilities, while Sharding reduces long-term hardware costs through horizontal scalability.<\/p>\n<h3>How does the alternative handle failover and disaster recovery compared to Oracle RAC&#8217;s native capabilities?<\/h3>\n<p>KingbaseES RAC handles failover through Clusterware and cache fusion, similar to Oracle RAC, but with different underlying technologies. Disaster recovery requires robust shared storage replication. KingbaseES Sharding handles failover through distributed replication and node redundancy. Disaster recovery involves replicating data to secondary sites. Both architectures can achieve high availability and data protection, but the implementation details differ.<\/p>\n<hr \/>\n<p><strong>\ud83d\udca1 More Resources<\/strong><\/p>\n<p>If you would like to dive deeper into KingbaseES and its application practices across various industries, we have compiled the following official resources to help you get started quickly and develop and operate with efficiency:<\/p>\n<ul>\n<li><a href=\"https:\/\/bbs.kingbase.com.cn\/\">Kingbase Community<\/a>: A one-stop interactive platform for technical exchanges, Q&amp;A, and experience sharing\u2014join forces with fellow DBAs and developers.<\/li>\n<li><a href=\"https:\/\/www.kingbaseglobal.com\/Solution-Oracle.html\">Kingbase Solutions<\/a>: One-stop full-stack database migration and cloud-native solutions, supporting smooth migration of multi-source heterogeneous data, ensuring high availability, real-time integration, and sustained high performance.<\/li>\n<li><a href=\"https:\/\/www.kingbaseglobal.com\/Customers.html\">Kingbase Case Studies<\/a>: Real-world user scenarios and implementation outcomes, showcasing KingbaseES&#8217;s outstanding capabilities in high availability, high performance, and IT adaptation.<\/li>\n<li><a href=\"https:\/\/docs.kingbase.com.cn\/en\">Kingbase Documentation<\/a>: Authoritative and comprehensive product manuals and technical guides, covering the entire lifecycle from installation and deployment to development, programming, and operations management.<\/li>\n<li><a href=\"https:\/\/www.kingbaseglobal.com\/Download.html\">Free Download<\/a>: Get the latest installation packages, drivers, tools, and patches, supporting multiple platforms and domestic chip architectures.<\/li>\n<li><a href=\"https:\/\/www.kingbaseglobal.com\/blog\/\">Digital Construction Encyclopedia<\/a>: Covers digital strategy planning, data integration, metrics management, database visualization applications, and more to empower enterprise digital transformation.<\/li>\n<\/ul>\n<p><strong>Open Source Resources:<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/hgsandy\/Kingbase-docs\">GitHub &#8211; Kingbase-docs<\/a>: Kingbase documentation open-source repository\u2014Stars and contributions are welcome.<\/li>\n<li><a href=\"https:\/\/gitee.com\/hgsandy\/kingbase-docs\">Gitee &#8211; Kingbase-docs<\/a>: Domestic mirror repository for Kingbase documentation for faster access.<\/li>\n<\/ul>\n<p>Welcome to explore the resources above and begin your Kingbase journey!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Hidden TCO of Oracle RAC: Beyond Licensing Fees The visible cost of Oracle RAC is the license fee. The hidden costs are often more significant for enterprise IT budgets&#8230;.<\/p>\n","protected":false},"author":1882,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"meta_description":"","_kingbase_seo_description":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-1429","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.kingbaseglobal.com\/blog\/wp-json\/wp\/v2\/posts\/1429","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kingbaseglobal.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kingbaseglobal.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kingbaseglobal.com\/blog\/wp-json\/wp\/v2\/users\/1882"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kingbaseglobal.com\/blog\/wp-json\/wp\/v2\/comments?post=1429"}],"version-history":[{"count":0,"href":"https:\/\/www.kingbaseglobal.com\/blog\/wp-json\/wp\/v2\/posts\/1429\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.kingbaseglobal.com\/blog\/wp-json\/wp\/v2\/media?parent=1429"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kingbaseglobal.com\/blog\/wp-json\/wp\/v2\/categories?post=1429"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kingbaseglobal.com\/blog\/wp-json\/wp\/v2\/tags?post=1429"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}