What Is CloudTable

CloudTable is a fully managed data storage and analysis service based on HBase, ClickHouse, and Doris. It provides data storage and analysis capabilities ranging from gigabytes to petabytes, catering to scenarios such as online queries, data warehousing, data marts, and real-time analysis. Widely applicable across industries, CloudTable serves the Internet, Internet of Things (IoT), Internet of Vehicles (IoV), finance, government, logistics, manufacturing, and retail sectors. CloudTable provides you with dedicated clusters, which are available upon subscription. It is suitable for users with high service throughput and low latency requirements.

CloudTable offers HBase-based fully managed NoSQL services, delivering lightning-fast random read/write capabilities within milliseconds. It is an excellent choice for storing vast amounts of structured, semi-structured, spatiotemporal, and time series data. Whether in IoT, IoV, finance, smart cities, or meteorology, CloudTable finds versatile applications. For details, see HBase.
Based on Doris, CloudTable provides fully managed real-time data warehouse services and query results of mass data can be returned in subseconds. Doris supports high-concurrency point queries and high-throughput complex analysis. Doris is suitable for report analysis, ad hoc query, unified data warehouse construction, and data lake federated query acceleration. You can build applications such as user behavior analysis, A/B test platform, log retrieval and analysis, user profile analysis, and order analysis. For details, see Doris.
ClickHouse is an open-source columnar database oriented to online analysis and processing. It is independent of the Hadoop big data system and features compression rate and fast query performance. In addition, ClickHouse supports SQL query and provides good query performance, especially the aggregation analysis and query performance based on large and wide tables. The query speed is one order of magnitude faster than that of other analytical databases. For details, see ClickHouse.

Architecture

The following figure shows the architecture of CloudTable.

Figure 1 Architecture
Click to enlarge

Doris: MySQL-compatible database that is suitable for complex multi-table analysis, outperforming traditional MPP databases.
ClickHouse: supports multidimensional aggregation analysis for large and wide tables (with 10,000 columns), subsecond-level response, and full self-service analysis.
HBase: supports high concurrency and millisecond-level query response.

Advantages

Wide applicability: CloudTable is compatible with multiple engines (such as HBase, ClickHouse, and Doris).
High reliability: The architecture is highly available and the kernel is optimized to improve system stability.
Cost-effectiveness: Cold and hot data can be segregated, utilizing different compression algorithms to reduce storage costs.
Easy to use: Analysis clusters can be swiftly established through the console within minutes. The platform offers comprehensive cluster management, monitoring, and alarm reporting functions. With robust SQL statement support, you can focus on extracting value from your data without concerning yourself with the underlying infrastructure.

New to CloudTable

If you are new to CloudTable, consider exploring the following information:

Basic knowledge
The "Functions" section covers the fundamental principles and scenarios of CloudTable components, along with specific concepts and functions related to CloudTable.
Getting started
The Getting Started part provides detailed operational guidance using practical samples. You can create and utilize CloudTable clusters based on this guide.
Advanced features and operation guides
If you are an existing CloudTable cluster user, consult the User Guide to create clusters, configure parameters, and monitor alarms.

If you are a developer, you can develop, run, and debug your applications according to the Application Development Process and sample project provided by CloudTable.