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Handling Bursty Traffic in Real-Time Analytics Applications

Rockset

There is also a speed layer typically built around a stream-processing technology such as Amazon Kinesis or Spark. One layer processes batches of historic data. Hadoop was initially used but has since been replaced by Snowflake, Redshift and other databases. It provides instant views of the real-time data.

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SQL and Complex Queries Are Needed for Real-Time Analytics

Rockset

Limitations of NoSQL SQL supports complex queries because it is a very expressive, mature language. That changed when NoSQL databases such as key-value and document stores came on the scene. While taking the NoSQL road is possible, it’s cumbersome and slow. As a result, the use cases remained firmly in batch mode.

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Five Ways to Run Analytics on MongoDB – Their Pros and Cons

Rockset

MongoDB is a top database choice for application development. Developers choose this database because of its flexible data model and its inherent scalability as a NoSQL database. MongoDB wasn’t originally developed with an eye on high performance for analytics. Yet, analytics is now a vital part of modern data applications.

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The Role of Database Applications in Modern Business Environments

Knowledge Hut

Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. NoSQL is an abbreviation for "Not Only SQL," and it refers to non-relational databases that provide flexible data formats, horizontal scaling, and high performance for certain use cases.

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The Good and the Bad of Apache Kafka Streaming Platform

AltexSoft

Kafka can continue the list of brand names that became generic terms for the entire type of technology. The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. Similar to other popular open-source technologies, Kafka has a vast community of users and contributors.

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Why Mutability Is Essential for Real-Time Data Analytics

Rockset

To deliver real-time analytics, companies need a modern technology infrastructure that includes these three things: A real-time data source such as web clickstreams, IoT events produced by sensors, etc. Get faster analytics on fresher data, at lower costs, by exploiting indexing over brute-force scanning.

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Intel and Cloudera collaborate to bring improved performance to customers with Optane DC Persistent Memory

Cloudera

Apache HBase® is one of many analytics applications that benefit from the capabilities of Intel Optane DC persistent memory. HBase is a distributed, scalable NoSQL database that enterprises use to power applications that need random, real time read/write access to semi-structured data.

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