Software Alternatives, Accelerators & Startups

Google Cloud Storage VS PostgreSQL

Compare Google Cloud Storage VS PostgreSQL and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Google Cloud Storage logo Google Cloud Storage

Google Cloud Storage offers developers and IT organizations durable and highly available object storage.

PostgreSQL logo PostgreSQL

PostgreSQL is a powerful, open source object-relational database system.
  • Google Cloud Storage Landing page
    Landing page //
    2023-09-25
  • PostgreSQL Landing page
    Landing page //
    2023-10-21

Google Cloud Storage features and specs

  • Scalability
    Google Cloud Storage automatically scales to handle large volumes of data, making it ideal for businesses that experience fluctuating data needs.
  • Durability
    Data stored in Google Cloud Storage is highly durable, with multiple copies stored across multiple locations, protecting against hardware failures.
  • Security
    Built-in security features including encryption at rest and in transit, as well as integration with Google Cloud IAM for fine-grained access control.
  • Global Availability
    With storage buckets that can be geo-redundant, Google Cloud Storage offers high availability and low latency access across the globe.
  • Integrations
    Seamlessly integrates with other Google Cloud services such as BigQuery, Dataflow, and Google Kubernetes Engine, enhancing functionality and ease of use.
  • Performance
    Optimized for performance with different storage classes to meet varying performance and cost requirements, such as Coldline and Nearline for less frequently accessed data.
  • Data Management
    Supports advanced data management features like Object Lifecycle Management policies to automatically transition or expire objects based on specified rules.
  • Versioning
    Supports object versioning, allowing you to keep multiple versions of an object and recover from accidental deletion or overwrites.
  • Cost-Effective
    Pay-as-you-go pricing model ensures that you only pay for what you use, and various storage classes help manage costs based on data access patterns.

Possible disadvantages of Google Cloud Storage

  • Complexity
    The wide range of features and services can be overwhelming for new users, requiring a steep learning curve for effective utilization.
  • Cost Control
    While flexible pricing is a benefit, managing and predicting costs can become complex, especially for large-scale or unpredictable workloads.
  • Dependency on Internet Connectivity
    As with all cloud services, reliable internet access is required. Downtime or poor connectivity can impact access to data stored in the cloud.
  • Vendor Lock-In
    Relying heavily on Google Cloud's ecosystem may result in vendor lock-in, making it difficult to migrate to other platforms without significant effort.
  • Geographic Restrictions
    Certain regulatory or compliance requirements may limit where data can be stored, affecting the use of global storage options.
  • Performance Variability
    While generally optimized, performance may vary based on the chosen storage class and geographic location of data.
  • Support Costs
    Premium customer support incurs additional costs, which can add up for businesses requiring specialized or 24/7 support.

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.

Google Cloud Storage videos

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PostgreSQL videos

Comparison of PostgreSQL and MongoDB

More videos:

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

Category Popularity

0-100% (relative to Google Cloud Storage and PostgreSQL)
Cloud Storage
100 100%
0% 0
Databases
0 0%
100% 100
Cloud Computing
100 100%
0% 0
Relational Databases
0 0%
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 Google Cloud Storage and PostgreSQL

Google Cloud Storage Reviews

We have no reviews of Google Cloud Storage yet.
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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...
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

Social recommendations and mentions

Based on our record, Google Cloud Storage should be more popular than PostgreSQL. It has been mentiond 39 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.

Google Cloud Storage mentions (39)

  • Deploy Gemini-powered LangChain applications on GKE
    Seamless integration with Google Cloud: GKE integrates smoothly with other Google Cloud services like Cloud Storage, Cloud SQL, and, importantly, Vertex AI, where Gemini and other LLMs are hosted. - Source: dev.to / 4 months ago
  • Scanning AWS S3 Buckets for Security Vulnerabilities
    All cloud providers offer some variations of file bucket services. These file bucket services allow users to store and retrieve data in the cloud, offering scalability, durability, and accessibility through web portals and APIs. For instance, AWS offers Amazon Simple Storage Service (S3), GCP offers Google Cloud Storage, and DigitalOcean provides Spaces. However, if unsecured, these file buckets pose a major... - Source: dev.to / 10 months ago
  • Next.js Deployment: Vercel's Charm vs. GCP's Muscle
    GCP offers a comprehensive suite of cloud services, including Compute Engine, App Engine, and Cloud Run. This translates to unparalleled control over your infrastructure and deployment configurations. Designed for large-scale applications, GCP effortlessly scales to accommodate significant traffic growth. Additionally, for projects heavily reliant on Google services like BigQuery, Cloud Storage, or AI/ML tools,... - Source: dev.to / 11 months ago
  • How to deploy a Django app to Google Cloud Run using Terraform
    Cloud Storage: blog storage for static assets and media files. - Source: dev.to / over 1 year ago
  • How to Get Preview Environments for Every Pull Request
    Preevy includes built-in support for saving profiles on AWS S3 and Google Cloud Storage. You can also store the profile on the local filesystem and copy it manually before running Preevy - we won't show this method here. - Source: dev.to / over 1 year ago
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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
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What are some alternatives?

When comparing Google Cloud Storage and PostgreSQL, you can also consider the following products

Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.

MySQL - The world's most popular open source database

Alibaba Object Storage Service - Alibaba Object Storage Service is an encrypted and secure cloud storage service which stores, processes and accesses massive amounts of data

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.

IBM Cloud Object Storage - IBM Cloud Object Storage is a platform that offers cost-effective and scalable cloud storage for unstructured data.

SQLite - SQLite Home Page