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

Dataform vs Spring Data

OverviewComparisonAlternatives

Overview

Spring Data
Spring Data
Stacks883
Followers408
Votes0
GitHub Stars95
Forks84
Dataform
Dataform
Stacks818
Followers53
Votes0
GitHub Stars934
Forks188

Dataform vs Spring Data: What are the differences?

Developers describe Dataform as "*A framework for managing SQL based data operations *". It helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure. 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.

Dataform and Spring Data can be categorized as "Database" tools.

Some of the features offered by Dataform are:

  • Version ontrol
  • Scheduling
  • Notifications and logging

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

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

Dataform and Spring Data are both open source tools. Dataform with 77 GitHub stars and 7 forks on GitHub appears to be more popular than Spring Data with 58 GitHub stars and 62 GitHub forks.

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Detailed Comparison

Spring Data
Spring Data
Dataform
Dataform

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.

Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.

Powerful repository; Custom object-mapping abstractions; Dynamic query derivation
Version ontrol; Scheduling; Notifications and logging; Assertions; Web based development environment; Alerting; Incremental tables; Packages; Reusable code snippets; Unit tests; Data tests
Statistics
GitHub Stars
95
GitHub Stars
934
GitHub Forks
84
GitHub Forks
188
Stacks
883
Stacks
818
Followers
408
Followers
53
Votes
0
Votes
0
Integrations
MongoDB
MongoDB
Spring MVC
Spring MVC
Redis
Redis
ArangoDB
ArangoDB
Amazon Redshift
Amazon Redshift
Google BigQuery
Google BigQuery
GitHub
GitHub
JavaScript
JavaScript
PostgreSQL
PostgreSQL
Snowflake
Snowflake
Git
Git

What are some alternatives to Spring Data, Dataform?

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.

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

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.

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