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CRUD stands for create, read, update, and delete, the four basic operations of persistent storage. Learn how CRUD is used in databases, RESTful APIs, user interfaces, and other contexts, and see different variations of CRUD.
Trino is a fork of Presto that can query large data sets from heterogeneous data sources using ANSI SQL. Trino is written in Java, runs on a cluster of servers, and supports data lakes, federated queries, and various data platforms.
Apache Hive is a data warehouse software project that provides SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop. It supports different storage types, metadata storage, compression, user-defined functions, and execution engines such as MapReduce, Tez, and Spark.
Apache HBase is an open-source non-relational database modeled after Google's Bigtable and written in Java. It runs on top of HDFS or Alluxio and provides fast read and write operations on large datasets with high throughput and low latency.
A database engine is the software component that a DBMS uses to manipulate data in a database. Learn about different types of database engines, storage engines, data structures, data orientation and indexing.
Cosmos DB is a globally distributed, multi-model database service offered by Microsoft. It supports various data types, APIs, indexes, and partitioning, and provides high availability, scalability, and low-latency access to data.
BigQuery is a platform as a service data warehouse product by Google that supports querying using a SQL dialect and has built-in machine learning capabilities. It offers scalable analysis over large quantities of data, cross-cloud analytics, data sharing, and integration with various tools and partners.
Rules allow the "query tree" of an incoming query to be rewritten; they are an, automatically invoked, macro language for SQL. "Query Re-Write Rules" are attached to a table/class and "Re-Write" the incoming DML (select, insert, update, and/or delete) into one or more queries that either replace the original DML statement or execute in addition ...