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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Spring Data vs pgwatch2

Spring Data vs pgwatch2

OverviewComparisonAlternatives

Overview

Spring Data
Spring Data
Stacks883
Followers408
Votes0
GitHub Stars95
Forks84
pgwatch2
pgwatch2
Stacks4
Followers10
Votes0
GitHub Stars1.8K
Forks230

Spring Data vs pgwatch2: What are the differences?

Developers describe Spring Data 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. On the other hand, pgwatch2 is detailed as "PostgreSQL metrics monitor/dashboard". It is a flexible self-contained PostgreSQL metrics monitoring/dashboarding solution.

Spring Data and pgwatch2 can be categorized as "Database" tools.

Some of the features offered by Spring Data are:

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

On the other hand, pgwatch2 provides the following key features:

  • Non-invasive setup, no extensions nor superuser rights required for the base functionality
  • Intuitive metrics presentation using the Grafana dashboarding engine with optional Alerting
  • Lots of pre-configured dashboards and metric configurations covering all Statistics Collector data

Spring Data is an open source tool with 61 GitHub stars and 64 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
pgwatch2
pgwatch2

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 is a flexible self-contained PostgreSQL metrics monitoring/dashboarding solution.

Powerful repository; Custom object-mapping abstractions; Dynamic query derivation
Non-invasive setup, no extensions nor superuser rights required for the base functionality; Intuitive metrics presentation using the Grafana dashboarding engine with optional Alerting; Lots of pre-configured dashboards and metric configurations covering all Statistics Collector data; Easy extensibility by defining metrics in pure SQL (thus they could also be from business domain); 4 supported data stores for metrics storage (PostgreSQL, InfluxDB, Graphite, Prometheus); Multiple configuration options (YAML, PostgreSQL, ENV) supporting both "push" and "pull" models
Statistics
GitHub Stars
95
GitHub Stars
1.8K
GitHub Forks
84
GitHub Forks
230
Stacks
883
Stacks
4
Followers
408
Followers
10
Votes
0
Votes
0
Integrations
MongoDB
MongoDB
Spring MVC
Spring MVC
Redis
Redis
ArangoDB
ArangoDB
PostgreSQL
PostgreSQL
Prometheus
Prometheus
Graphite
Graphite
Patroni
Patroni
Amazon RDS
Amazon RDS
InfluxDB
InfluxDB

What are some alternatives to Spring Data, pgwatch2?

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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