Well, MongoDB was designed and created as a document database first and foremost, not an SQL one (NoSQL). It is focused and optimized for this particular use case and a way of storing and accessing data. PostgreSQL on the other hand, is a relational, SQL database that later on added support for composite column types like JSON/JSONB, ARRAY and others. Over the years, it has extended and optimized storing JSON documents in its own binary JSONB format, as well as added more ways to index, query and modify data of this type.
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与此同时，降本增效已成为企业核心诉求。企业通过数据湖技术消除冗余数据拷贝、提升引擎执行效率以节约计算资源（如 CPU 利用率优化）及人力维护成本，进而缩短任务处理周期。在此背景下，DataWorks 结合 Serverless Spark 通过智能化调度与高性能计算能力，助力企业实现降本增效。，详情可参考下载安装汽水音乐
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