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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Dropbase vs Spring Data

Dropbase vs Spring Data

OverviewComparisonAlternatives

Overview

Spring Data
Spring Data
Stacks883
Followers408
Votes0
GitHub Stars95
Forks84
Dropbase
Dropbase
Stacks0
Followers9
Votes0

Dropbase vs Spring Data: What are the differences?

Developers describe Dropbase as "Turn offline files into live databases". It helps you bring offline files, such as CSV, Excel, and JSON files into a live database. Import files. Process and clean up data using a spreadsheet interface or by writing custom code. Export to a live database or generate REST APIs with 1 click. On the other hand, Spring Data is detailed as "Provides a consistent approach to data access – relational, non-relational, map-reduce, and beyond". 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.

Dropbase and Spring Data belong to "Database Tools" category of the tech stack.

Some of the features offered by Dropbase are:

  • Spreadsheet view. See how your data looks as you process it
  • No-code functions. Easily process your data through UI
  • 1-click exports. Turn your data into a database or REST APIs

On the other hand, Spring Data provides the following key features:

  • Powerful repository
  • Custom object-mapping abstractions
  • Dynamic query derivation

Spring Data is an open source tool with 67 GitHub stars and 67 GitHub forks. Here's a link to Spring Data's open source repository on GitHub.

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Detailed Comparison

Spring Data
Spring Data
Dropbase
Dropbase

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.

It helps you bring offline files, such as CSV, Excel, and JSON files into a live database. Import files. Process and clean up data using a spreadsheet interface or by writing custom code. Export to a live database or generate REST APIs with 1 click.

Powerful repository; Custom object-mapping abstractions; Dynamic query derivation
Spreadsheet view. See how your data looks as you process it; No-code functions. Easily process your data through UI; 1-click exports. Turn your data into a database or REST APIs; Custom functions. Apply complex processing steps; File compatibility. Import from CSVs, Excel, XML, and JSON; Code exports. Export code for any processing step; Multiple pipelines. Process the same data with different steps; Share data. Generate endpoints and share with your data team; Manage databases. Manage and databases and credentials
Statistics
GitHub Stars
95
GitHub Stars
-
GitHub Forks
84
GitHub Forks
-
Stacks
883
Stacks
0
Followers
408
Followers
9
Votes
0
Votes
0
Integrations
MongoDB
MongoDB
Spring MVC
Spring MVC
Redis
Redis
ArangoDB
ArangoDB
Microsoft Excel
Microsoft Excel

What are some alternatives to Spring Data, Dropbase?

dbForge Studio for MySQL

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.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

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.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

Flyway

Flyway

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

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