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PostgreSQL VS CloudTDMS

Compare PostgreSQL VS CloudTDMS and see what are their differences

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PostgreSQL logo PostgreSQL

PostgreSQL is a powerful, open source object-relational database system.

CloudTDMS logo CloudTDMS

CloudTDMS automates the process of test data generation for dev & test purposes. While at the same time ensuring compliance to regulatory and organisational policies & standards as well as Data Discovery & Profiling.
  • PostgreSQL Landing page
    Landing page //
    2023-10-21
  • CloudTDMS Landing page
    Landing page //
    2023-10-19

CloudTDMS, your one stop for Test Data Management. Discover & Profile your Data, Define & Generate Test Data for all your team members : Architects, Developers, Testers, DevOPs, BAs, Data engineers, and more ...

CloudTDMS automates the process of creating test data for non-production purposes such as development, testing, training, upgrading or profiling. While at the same time ensuring compliance to regulatory and organisational policies & standards. CloudTDMS involves manufacturing and provisioning data for multiple testing environments by Synthetic Test Data Generation as well as Data Discovery & Profiling.

Benefit from CloudTDMS No-Code platform to define your data models and generate your synthetic data quickly in order to get faster return on your “Test Data Management” investments.

CloudTDMS Services : - TDM CONSULTING : Gain benefit from expert advice for all TDM-related matters. - TAILORED SOLUTION : Design a complete service that allows you to get a fully Made-to-Measure TDM solution. - TRAINING : CloudTDMS training is designed to ensure knowledge transfer between the best experts in CIP and trainees in a short period of time.

PostgreSQL features and specs

  • Open Source
    PostgreSQL is an open-source database management system, which means it is free to use, modify, and distribute. This reduces the cost of database management for individuals and organizations.
  • ACID Compliance
    PostgreSQL is fully ACID (Atomicity, Consistency, Isolation, Durability) compliant, ensuring reliable transactions and data integrity.
  • Extensible
    PostgreSQL is highly extensible, allowing users to add custom functions, data types, and operators. This enables tailored solutions to specific requirements.
  • Advanced SQL Features
    PostgreSQL supports advanced SQL features like full-text search, JSON and XML data types, and complex queries, providing powerful tools for database operations.
  • Community Support
    There is a strong and active community around PostgreSQL, offering extensive documentation, forums, and collaborative support, which aids troubleshooting and development.
  • Multiple Indexing Techniques
    PostgreSQL offers a variety of indexing techniques such as B-tree, GIN, GiST, and BRIN, allowing for optimized query performance on various data types.
  • Cross-Platform Availability
    PostgreSQL runs on all major operating systems (Windows, MacOS, Linux, Unix), giving flexibility in deployment and development environments.

Possible disadvantages of PostgreSQL

  • Complex Configuration
    Setting up and configuring PostgreSQL can be complex and time-consuming, especially for beginners, requiring a good understanding of its parameters and best practices.
  • Heavy Resource Consumption
    PostgreSQL can be resource-intensive, consuming significant CPU and memory compared to other database systems, which may affect performance on lower-end hardware.
  • Backup and Restore Process
    The backup and restore process in PostgreSQL is not as straightforward as in some other database systems, requiring more manual intervention and understanding of tools like pg_dump and pg_restore.
  • Replication Complexity
    While PostgreSQL supports replication, setting it up can be more complex than some other databases. Advanced configurations like multi-master replication can be particularly challenging.
  • Steeper Learning Curve
    Due to its advanced features and extensive capabilities, PostgreSQL can have a steeper learning curve, making it harder for new users to get started compared to simpler database systems.
  • Less Third-Party Tool Support
    PostgreSQL has less support from third-party tools compared to more widely adopted databases like MySQL, which can limit options for auxiliary functions like administration, monitoring, and development.

CloudTDMS features and specs

  • Data Generation
  • Data Processing and Privacy Compliance
  • Data Masking
  • GDPR Compliant
  • Data extraction
  • Data Transformation
  • Data Import/Export
  • Cloud-based application
  • Free plan

PostgreSQL videos

+ Add

Comparison of PostgreSQL and MongoDB

More videos:

  • Review - PostgreSQL Review
  • Review - MySQL vs PostgreSQL - Why you shouldn't use MySQL

CloudTDMS videos

+ Add

CloudTDMS Quick Start Demo

More videos:

  • Demo - CloudTDMS Quick Guide
  • Review - CloudTDMS Quick Presentation

Category Popularity

0-100% (relative to PostgreSQL and CloudTDMS)

PostgreSQL

CloudTDMS

Databases
100 100%
Databases
0% 0
Development
0 0%
Development
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
Software Testing
0 0%
Software Testing
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare PostgreSQL and CloudTDMS

PostgreSQL Reviews

Data Warehouse Tools
Peliqan acts as a bridge, allowing you to e.g. effortlessly pull your PostgreSQL data into Google Sheets for easy access and analysis using its one-click connector. Additionally, Peliqan’s platform provides a user-friendly environment for data exploration, transformation with Magical SQL, and visualization capabilities, all without needing to switch between multiple tools.
Source: peliqan.io
Top 5 BigQuery Alternatives: A Challenge of Complexity
For over three decades, the open-source object-relational database system PostgreSQL has maintained its reputation as a top SQL server due to its features, performance, and reliability. (Heck, Redshift is even based on Postgres!) It's the go-to database solution for large corporations and organizations across a variety of industries from ecommerce to gaming to...
Source: blog.panoply.io
10 Best Database Management Software Of 2022 [+ Examples]
Applications Manager offers out-of-the-box health and performance monitoring for 20 popular databases including RDBMS, NoSQL, in-memory, distributed, and big data stores. It supports both commercial databases such as Oracle, Microsoft SQL, IBM DB2, and MongoDB as well as open source ones like MySQL and PostgreSQL.
Source: theqalead.com
ClickHouse vs TimescaleDB
Recently, TimescaleDB published a blog comparing ClickHouse & TimescaleDB using timescale/tsbs, a timeseries benchmarking framework. I have some experience with PostgreSQL and ClickHouse but never got the chance to play with TimescaleDB. Some of the claims about TimescaleDB made in their post are very bold, that made me even more curious. I thought it’d be a great...
Source: pradeepchhetri.xyz
9 Best MongoDB alternatives in 2019
PostgreSQL is a widely popular open source database management system. It provides support for both SQL for relational and JSON for non-relational queries.
Source: www.guru99.com

CloudTDMS Reviews

We have no reviews of CloudTDMS yet.
Be the first one to post

Social recommendations and mentions

Based on our record, PostgreSQL seems to be more popular. It has been mentiond 16 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

PostgreSQL mentions (16)

  • Convert insert mutation to upsert
    In this quick post, we’ll walk through implementing an Upsert operation in Hasura using PostgreSQL and GraphQL. - Source: dev.to / 8 months ago
  • Perfect Elixir: Environment Setup
    I’m on MacOS and erlang.org, elixir-lang.org, and postgresql.org all suggest installation via Homebrew, which is a very popular package manager for MacOS. - Source: dev.to / about 1 year ago
  • Rust & MySQL: connect, execute SQL statements and stored procs using crate sqlx.
    According to the documentation, crate sqlx is implemented in Rust, and it's database agnostic: it supports PostgreSQL, MySQL, SQLite, and MSSQL. - Source: dev.to / over 1 year ago
  • Really tired. Is PostgreSQL even runnable in Windows 10? pgAdmin4 stucks at Loading whatever I try.
    Solution is just downloading and installilng pgAdmin from official pgAdmin homepage version, not the one that is included in the postgresql.org package. Source: almost 2 years ago
  • Why SQL is right for Infrastructure Management
    SQL immediately stands out here because it was designed for making relational algebra, the other side of the Entity-Relationship model, accessible. There are likely more people who know SQL than any programming language (for IaC) or data format you could choose to represent your cloud infrastructure. Many non-programmers know it, as well, such as data scientists, business analysts, accountants, etc, and there is... - Source: dev.to / about 2 years ago
View more

CloudTDMS mentions (0)

We have not tracked any mentions of CloudTDMS yet. Tracking of CloudTDMS recommendations started around Apr 2022.

What are some alternatives?

When comparing PostgreSQL and CloudTDMS, you can also consider the following products

MySQL - The world's most popular open source database

DATPROF - We simplify getting the right test data in the right place at the right time.

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

Test Data Management - Learn how Informatica's intelligent data security TDM solution allows automated provisioning of masked and synthetically generated data to meet the needs of test, development, and QA teams.

SQLite - SQLite Home Page

IBM Infosphere Optim - Structured Data Archiving and Application Retirement

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