Practical, no-fluff guides for working with databases. GUI clients, import/export, SQL tips, migration paths, and more.
ClickHouse vs BigQuery: columnar analytics compared on query speed, concurrency, cost models, real-time ingestion, and operational overhead.
Four methods to import CSV files into MariaDB: LOAD DATA INFILE, LOAD DATA LOCAL INFILE, mariadb-import CLI, and Mako. Covers permissions, encoding, and type conversion.
Four methods to import CSV files into Microsoft SQL Server: BULK INSERT, bcp utility, SSMS Import Wizard, and Mako. Includes format files, permissions, and error handling.
Four ways to import Excel data into BigQuery: upload CSV via the Cloud Console, use Google Sheets as an intermediary, Python with pandas-gbq, and Mako. Covers GCS staging, schema auto-detection, and large files.
Three ways to import Excel data into ClickHouse: convert to CSV and use clickhouse-client, Python with pandas and clickhouse-connect, and Mako. Covers format conversion, type mapping, and batch loading.
Four ways to import Excel data into MariaDB: convert to CSV and use LOAD DATA INFILE, Python with pandas, HeidiSQL's import tool, and Mako. Covers character sets, date handling, and the CONNECT engine.
Three ways to import Excel data into MongoDB: convert to CSV and use mongoimport, Python with pymongo and openpyxl, and Mako. Covers document structure, type handling, and multi-sheet workbooks.
Four ways to import Excel data into SQL Server: the SSMS Import Wizard, OPENROWSET with the ACE provider, Python with pyodbc, and Mako. Covers the ACE driver, linked servers, and common permission issues.
Four ways to import Excel data into MySQL: convert to CSV and use LOAD DATA INFILE, Python with pandas, MySQL Workbench's import wizard, and Mako. Covers character sets, date handling, and large files.
Four ways to import Excel data into PostgreSQL: convert to CSV and use COPY, Python with pandas, pgAdmin's import tool, and Mako. Covers type mapping, multi-sheet files, and common pitfalls.
Three ways to import Excel data into Snowflake: convert to CSV and use COPY INTO with a stage, Python with snowflake-connector-python, and Mako. Covers staging, file formats, and Snowpark for direct Excel reading.
Four ways to import Excel data into SQLite: convert to CSV and use the .import command, Python with pandas, the sqlite3 CLI with a script, and Mako. Covers type affinity, large files, and multi-sheet workbooks.
Three ways to import JSON data into BigQuery: bq load CLI, the BigQuery Console, and Mako. Covers NDJSON requirements, schema auto-detection, nested structs, and Cloud Storage staging.
Three ways to import JSON data into ClickHouse: JSONEachRow format with clickhouse-client, the HTTP interface, and Mako. Covers JSON format variants, nested data, and performance.
Three ways to import JSON data into MariaDB: LOAD DATA INFILE with LONGTEXT columns, a Python script, and Mako. Covers MariaDB's JSON alias, functions, and differences from MySQL.
Three ways to import JSON data into MongoDB: mongoimport CLI, insertMany in the shell, and Mako. Covers JSON vs BSON, large file handling, and schema validation.
Four ways to import JSON data into Microsoft SQL Server: OPENROWSET with OPENJSON, a Python script with pyodbc, SSIS, and Mako. Covers NVARCHAR(MAX) storage, indexing, and large file handling.
Four ways to import JSON data into MySQL: MySQL Shell's importJSON utility, LOAD DATA INFILE, a Python script, and Mako. Covers the JSON column type, indexing, and large file handling.
Four ways to import JSON data into PostgreSQL: COPY with psql, pg_read_file, a Python script, and Mako. Covers jsonb vs json, flattening nested structures, and performance tips.
Three ways to import JSON data into Snowflake: COPY INTO with stages, direct VARIANT insert, and Mako. Covers file formats, FLATTEN, and extracting nested data.
Four ways to import JSON data into SQLite: sqlite-utils CLI, the .import command, Python scripting, and Mako. Covers JSON1 functions, type handling, and nested data.
MySQL vs MariaDB: the original and the fork. Compatibility, performance differences, storage engines, JSON support, and why the choice matters more now than it did five years ago.
PostgreSQL vs ClickHouse: a general-purpose database vs a purpose-built analytics engine. When PostgreSQL's analytics are enough and when you need ClickHouse's columnar speed.
PostgreSQL vs MongoDB: relational vs document, SQL vs MQL, JSONB vs BSON. A practical guide to choosing between them when the lines are blurring.
PostgreSQL vs SQL Server (MSSQL): licensing costs, T-SQL vs standard SQL, platform support, enterprise features, and when each makes sense.
PostgreSQL vs MySQL compared across data types, performance, JSON support, replication, licensing, and ecosystem. A straightforward guide to choosing between the two most popular open-source databases.
PostgreSQL vs SQLite: a server database vs an embedded one. When SQLite is enough, when you need PostgreSQL, and why the answer is less obvious than it used to be.
Snowflake vs BigQuery: architecture, pricing, multi-cloud support, performance, and governance compared. Two cloud data warehouses, two different philosophies.
Snowflake vs PostgreSQL: a cloud data warehouse vs a general-purpose relational database. When you need Snowflake's analytical power and when PostgreSQL is enough.
SQLite vs MySQL: when a file-based database is enough and when you need a server. Architecture, concurrency, features, and practical guidance for choosing.
Azure Data Studio was retired in February 2025. Here's what that means for SQL Server users comparing it to SSMS, and what your options are now.
A detailed comparison of Beekeeper Studio and DBeaver in 2026. Modern minimalism vs feature-rich universal client -- which fits your workflow?
A detailed comparison of DataGrip and TablePlus in 2026. Full SQL IDE vs native lightweight client -- which one fits your workflow?
A detailed comparison of DBeaver and HeidiSQL in 2026. Universal heavyweight vs Windows-native lightweight -- two free tools with very different approaches.
A detailed comparison of DBeaver and MySQL Workbench in 2026. Universal database client vs MySQL-specific design and administration tool.
Four ways to import CSV files into BigQuery: the bq CLI, Google Cloud Console, Python client library, and Cloud Storage loads. Includes schema detection and quota tips.
Four ways to import CSV files into ClickHouse: clickhouse-client piping, INSERT FROM INFILE, the HTTP interface, and the file() table function. Includes performance tips for large datasets.
Four ways to import CSV files into MongoDB: mongoimport CLI, MongoDB Compass, Python with pymongo, and Atlas UI. Includes type handling and field mapping tips.
Four ways to import CSV files into MySQL: LOAD DATA INFILE, mysqlimport, MySQL Workbench, and Mako. Includes permission gotchas and encoding fixes.
Four ways to import CSV files into PostgreSQL: the COPY command, psql \copy, pgAdmin's GUI, and Mako's visual importer. Includes gotchas for encoding, NULLs, and large files.
Four ways to import CSV files into Snowflake: PUT + COPY INTO via SnowSQL, the Snowsight web UI, Python connector, and external stage loads. Includes staging, file format, and error handling tips.
Four ways to import CSV files into SQLite: the .import command, Python's sqlite3 module, DB Browser for SQLite, and programmatic approaches. Includes type handling tips.
Mako is a free, browser-based AI SQL client. DataGrip is JetBrains' professional database IDE. Here's how they compare and when to pick each.
Mako is a browser-based AI SQL client. DBeaver is a desktop universal database tool supporting 100+ databases. Here's when each one makes sense.
Mako is a free browser-based AI SQL client. TablePlus is a fast native desktop client. Both prioritize clean UI and developer experience -- here's how they differ.
A detailed comparison of MongoDB Compass and Studio 3T in 2026. Free official GUI vs paid professional IDE for MongoDB.
A detailed comparison of Navicat Premium and DataGrip in 2026. Data modeling and collaboration vs SQL intelligence and IDE power.
A detailed comparison of Navicat and DBeaver in 2026. Premium commercial tooling vs free open-source flexibility -- which justifies the cost?
A detailed comparison of TablePlus and DBeaver in 2026. Native speed vs universal database support -- which tradeoff fits your workflow?
Sequel Pro is abandoned. Here's what happened, how TablePlus compares to its fork Sequel Ace, and what macOS database users should use in 2026.
An honest comparison of 6 BigQuery GUI clients: BigQuery Console, DBeaver, DataGrip, DbVisualizer, Beekeeper Studio, and Mako.
An honest comparison of 6 ClickHouse GUI clients: ClickHouse Cloud Console, DBeaver, DataGrip, DbVisualizer, Tabix, and Mako.
A detailed, honest comparison of DBeaver and DataGrip in 2026. Features, pricing, performance, and which one fits your workflow.
An honest comparison of 8 MariaDB GUI clients: HeidiSQL, DBeaver, phpMyAdmin, Navicat, DataGrip, TablePlus, Beekeeper Studio, and Mako.
An honest comparison of 7 MongoDB GUI clients: MongoDB Compass, Studio 3T, NoSQLBooster, Navicat, DBeaver, Beekeeper Studio, and Mako.
An honest comparison of 7 SQL Server GUI clients: SSMS, Azure Data Studio, DBeaver, DataGrip, Navicat, Beekeeper Studio, and Mako.
An honest comparison of 8 MySQL GUI clients: MySQL Workbench, DBeaver, DataGrip, phpMyAdmin, Navicat, HeidiSQL, TablePlus, Beekeeper Studio, and Mako.
A detailed comparison of pgAdmin and DBeaver for PostgreSQL work. Features, performance, administration capabilities, and which one fits your workflow.
An honest comparison of 7 PostgreSQL GUI clients: pgAdmin, DBeaver, DataGrip, TablePlus, Navicat, Beekeeper Studio, and Mako. What each does best, where each falls short, and how to pick.
An honest comparison of 6 Snowflake GUI clients: Snowsight, DBeaver, DataGrip, DbVisualizer, SQL Workbench/J, and Mako.
An honest comparison of 7 SQLite GUI clients: DB Browser for SQLite, SQLiteStudio, DBeaver, DataGrip, TablePlus, Beekeeper Studio, and Mako.