DingoDB, which employs Apache Calcite SQL engine, can support some TPC-H and TPC-DS queries facing modern services, such as web services, BI tools, real-time dashboards.
Using the log-structured key-value storage RocksDB, DingoDB supports high-frequency upsert queries, such as INSERT, UPDATE, and DELETE.
DingoDB owns the capability to execute high concurrent fast point Query, upsert, and multi-dimensional analysis in low latency.
DingoDB can easily accept data from streaming processing engines and support more analysis working or serving that is not applicable in a stream.
DingoDB stores and processes data in a distributed manner with strong cluster and resource management functionality, making it easy to expand the capacity.
DingoDB supports row, column, and mixed data format. In addition, it has a pluggable API allowing developers to easily extend storage modes, such as on local disk or remote object storage.
Suited to track KPIs and other vital metrics, DingoDB allows users to build BI dashboards and scorecards to track company goals and metrics in real-time. Provide a quick and concise way to measure KPIs and indicate how a company is progressing to meet its goals. Moreover, to see where to make changes to achieve goals.
Business end-users make interactive data queries and probe data to extract trends and insights from historical and current findings to drive valuable data-driven decisions. People like HR managers, sales representatives, and marketers can directly make data-driven decisions by DingoDB powered self-service business intelligence tools.
AI and machine learning emulate complex tasks executed by human brains. This practice uses statistics, database systems, and machine learning to uncover patterns in large datasets stored on DingoDB. Data mining also requires pre-processing of data by DingoDB.
Analysts are BI power users, and they use centralized company data paired with DingoDB and powerful analytics tools to understand where opportunities for improvement exist and what strategic recommendations to propose to company leadership.
