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Description

ASKY - Unlock Database Power for Your CSV Files with Simple Clicks! Easily identify and rectify problematic CSV entries. Perform queries to obtain totals and averages swiftly and effortlessly! Experience database-like features without the complexities of traditional databases. EXTREME SPEED: ASKY swiftly processes your large, unformatted CSV files due to its efficient programming and design. USER-FRIENDLY: With a straightforward point-and-click interface, there’s no need to learn complex languages or commands. Just choose your data files, adjust a few settings, and hit GO. ROBUST: Forget about SQL databases; ASKY comes fully equipped with powerful tools and can handle UNLIMITED files and data sizes. Extract the problematic records: If your data has inconsistencies in the number of fields, the SIFTER will help you isolate the issues for resolution. Make necessary repairs: The UTILITIES section features specialized tools to transfer or replace data between fields, add or delete fields, and rearrange their order for better organization. Execute detailed queries: Utilize the intuitive point-and-click QUERY feature to retrieve records that precisely match your specified criteria, streamlining your data management process even further.

Description

PopSQL is the evolution of legacy SQL editors like DataGrip, DBeaver, Postico. We provide a beautiful, modern SQL editor for data focused teams looking to save time, improve data accuracy, onboard new hires faster, and deliver insights to the business fast. With PopSQL, users can easily understand their data model, write version controlled SQL, collaborate with live presence, visualize data in charts and dashboards, schedule reports, share results, and organize foundational queries for search and discovery. Even if your team is already leveraging a large BI tool, like Tableau or Looker, or a hodge podge of SQL editors, PopSQL enables seamless collaboration between your SQL power users, junior analysts, and even your less technical stakeholders who are hungry for data insights. * Cross-platform compatibility with macOS, Windows, and Linux * Works with Snowflake, Redshift, BigQuery, Clickhouse, Databricks, Athena, MongoDB, PostgreSQL, MySQL, SQL Server, SQLite, Presto, Cassandra, and more