What is Knex.js and what are its top alternatives?
Top Alternatives to Knex.js
Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more. ...
It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred. ...
- Spring Data
It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database. ...
A cross-platform IDE that is aimed at DBAs and developers working with SQL databases. ...
- Microsoft SQL Server Management Studio
It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts. ...
It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc. ...
dbt is a transformation workflow that lets teams deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines. ...
- dbForge Studio for MySQL
It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data. ...
Knex.js alternatives & related posts
- Good ORM for node.js42
- Easy setup31
- Support MySQL & MariaDB, PostgreSQL, MSSQL, Sqlite20
- Open source14
- Promise Based11
- Recommend for mongoose users4
- Atrocious documentation, buggy, issues closed by bots3
- Docs are awful30
- Relations can be confusing9
related Sequelize posts
Hey! I am actually in internship and have an app to create for my structure. It will be an intern app which will allow crud dashboard actions with some data provided by the use of an API of one of the structure partner and make a correspondence to data contained in a private database. Since it's an intern app, I thought about Electron for a desktop app because I did a lot of web with Laravel and the structure goes more for the desktop app. But it will be my first occasion working with this tech.
Is Electron a good choice? Wich ORM should be more complete and adapted to this between Sequelize and TypeORM? (Database will be MySQL) Some charts will be displayed in the app. Is there a library (preferably without jQuery) that suits this stack?
Thank you !
Can you help me with the following:
- What additional functionality is present in Prisma when compared with Sequelize?
- Is getter and setter method available in Prisma? If then please provide any reference or resource.
- Is Hooks, hierarchy present in Prisma?
related Slick posts
related Spring Data posts
I need some advice to choose an engine for generation web pages from the Spring Boot app. Which technology is the best solution today? 1) JSP + JSTL 2) Apache FreeMarker 3) Thymeleaf Or you can suggest even other perspective tools. I am using Spring Boot, Spring Web, Spring Data, Spring Security, PostgreSQL, Apache Tomcat in my project. I have already tried to generate pages using jsp, jstl, and it went well. However, I had huge problems via carrying already created static pages, to jsp format, because of syntax. Thanks.
- Works on Linux, Windows and MacOS4
- Diff viewer2
- Code analysis2
- Wide range of DBMS support2
- Generate ERD1
- Quick-fixes using keyboard shortcuts1
- Database introspection on 21 different dbms1
- Export data using a variety of formats using open api1
- Import data1
- Code completion1
related DataGrip posts
related Microsoft SQL Server Management Studio posts
We have a 138 row, 1700 column database likely to grow at least a row and a column every week. We are mostly concerned with how user-friendly the graphical management tools are. I understand MySQL has MySQL WorkBench, and Microsoft SQL Server has Microsoft SQL Server Management Studio. We have about 6 months to migrate our Excel database to one of these DBMS, and continue (hopefully manually) importing excel files from then on. Any tips appreciated!
- Platform independent13
- Automatic driver download9
- Import-Export Data7
- Simple to use6
- Wide range of DBMS support4
- Move data between databases4
- SAP Hana DB support1
related DBeaver posts
Which tools are preferred if I choose to work on more data side? Which one is good if I decide to work on web development? I'm using DBeaver and am now considering a move to AzureDataStudio to break the monotony while working. I would like to hear your opinion. Which one are you using, and what are the things you are missing in dbeaver or data studio.
- Easy for SQL programmers to learn5
- Schedule Jobs2
- Reusable Macro2
- Faster Integrated Testing2
- Modularity, portability, CI/CD, and documentation2
- Only limited to SQL1
- Cant do complex iterations , list comprehensions etc .1
- People will have have only sql skill set at the end1
- Very bad for people from learning perspective1
related dbt posts
Looker , Stitch , Amazon Redshift , dbt
We recently moved our Data Analytics and Business Intelligence tooling to Looker . It's already helping us create a solid process for reusable SQL-based data modeling, with consistent definitions across the entire organizations. Looker allows us to collaboratively build these version-controlled models and push the limits of what we've traditionally been able to accomplish with analytics with a lean team.
For Data Engineering, we're in the process of moving from maintaining our own ETL pipelines on AWS to a managed ELT system on Stitch. We're also evaluating the command line tool, dbt to manage data transformations. Our hope is that Stitch + dbt will streamline the ELT bit, allowing us to focus our energies on analyzing data, rather than managing it.
- Intelligent SQL Coding66
- Data Generator65
- Database Backup64
- Query Profiler64
- Database Compare and Sync64
- MySQL Debugger64
- Visual Query Builder64
- Import/Export Data63
- Database Refactoring63
- Database Projects63
- Broad Compatibility Options63
- Table Designer62
- Report and Analysis62
- Database Designer62
- Database Administration62
- Copy Database53