Rockset
JULY 6, 2022
Similarly, databases are only useful for today’s real-time analytics if they can be both strict and flexible. So are schemaless NoSQL databases, which capably ingest firehoses of data but are poor at extracting complex insights from that data. NoSQL Comes to the Rescue.
Rockset
MAY 12, 2022
Posts published so far in the series: Why Mutability Is Essential for Real-Time Data Analytics Handling Out-of-Order Data in Real-Time Analytics Applications Handling Bursty Traffic in Real-Time Analytics Applications SQL and Complex Queries Are Needed for Real-Time Analytics Why Real-Time Analytics Requires Both the Flexibility of NoSQL and Strict (..)
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Rockset
MAY 17, 2022
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.
Knowledge Hut
JULY 26, 2023
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.
Rockset
FEBRUARY 2, 2022
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.
Rockset
MARCH 10, 2022
If you want to see all of the key requirements of real-time analytics databases, watch my recent talk at the Hive on Designing the Next Generation of Data Systems for Real-Time Analytics , available below. Get faster analytics on fresher data, at lower costs, by exploiting indexing over brute-force scanning.
ProjectPro
FEBRUARY 16, 2023
Despite the buzz surrounding NoSQL , Hadoop , and other big data technologies, SQL remains the most dominant language for data operations among all tech companies. The SQL-on-Hadoop platform combines the Hadoop data architecture with traditional SQL-style structured data querying to create a specific analytical application tool.
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