#python #autocomplete #compose #data_warehouse #databases #query_editor #sql #sql_assistant #sql_editor

https://github.com/cloudera/hue

#java #big_data #data_science #database #databases #datalake #distributed_database #distributed_databases #distributed_systems #hadoop #hive #jdbc #presto #prestodb #query_engine #sql #trino

https://github.com/trinodb/trino

#rust #cli #files #filesystem #find #hacktoberfest #query #sql #sql_like #tool #utility

https://github.com/jhspetersson/fselect

#rust #streaming #sql #database #clickhouse #olap #data_cloud #query_processing

https://github.com/datafuselabs/datafuse

#go #binary #cli #decode #hexdump #jq #json #query #repl

https://github.com/wader/fq

#rust #blockchain #mysql #orm #postgresql #query_builder #sqlite

https://github.com/diesel-rs/diesel

#javascript #npm_package #parse #query_string #stringify #url #urlsearchparams

https://github.com/sindresorhus/query-string

#go #database #mysql #mysql_server #query_engine #relational_database #sql #sql_engine #sql_server

https://github.com/dolthub/go-mysql-server

#java #bigquery #database #dbt #delta_lake #elt #etl #hadoop #hive #hudi #iceberg #lakehouse #olap #query_engine #real_time #redshift #snowflake #spark #sql

Apache Doris is a high-performance, real-time analytical database that offers several benefits. It is easy to use with a simple architecture and supports standard SQL, making it compatible with MySQL tools. Doris delivers extremely fast query performance, even under massive data loads, making it ideal for scenarios like report analysis, ad-hoc queries, unified data warehouses, and data lake queries. It also supports federated querying of various data sources and has rich ecosystem integrations with tools like Spark and Flink. This makes Apache Doris a versatile and powerful tool for handling complex analytical tasks efficiently.

https://github.com/apache/doris