Software Alternatives & Startups

Snowball Analytics VS PostgreSQL

Compare Snowball Analytics VS PostgreSQL and see what are their differences

Snowball Analytics

Simple and powerful portfolio tracker for investors. Dividend tracker, portfolio performance and quick portfolio rebalancing. Supports thousands of stocks, funds and cryptocurrencies from all over the world.

Rating
0 reviews
Pricing
Freemium Free trial $7.99 / Monthly (1 portfolio, automatic brokerage connection)
PostgreSQL

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

Rating
0 reviews
Pricing
Open source
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.

Which is more popular?

Based on our record, Snowball Analytics should be more popular than PostgreSQL. It has been mentioned 33 times since March 2021.

social mentions
33 vs 19
Finance popularity
100% vs 0%
alternatives listed
164 vs 237

Base details

Website, pricing, platforms and company facts side by side.

Snowball Analytics
PostgreSQL
Website snowball-analytics.com postgresql.org
Pricing
Freemium Free trial $7.99 / Monthly (1 portfolio, automatic brokerage connection) Official pricing
Open source Official pricing
Platforms
Web
—
Company 2022 Startup from the United States
Listed in

About Snowball Analytics and PostgreSQL

In their own words, as submitted to SaaSHub.

Snowball Analytics
PostgreSQL

Snowball Analytics is an investment tracking app for any thoughtful long-term investor. Get overview of all your investments in one place - portfolio performance, dividends, company fundamentals, benchmarking and more. 📋 Lose the spreadsheet – we make investment tracking easy and hassle-free 💰...

Read more about Snowball Analytics

No description of PostgreSQL yet.

Features and specs

What each product offers, as listed by its team.

Snowball Analytics 13 features
PostgreSQL 7 features
  • Number of portfolios
    10
  • Number of holdings
    Unlimited
  • Automatic brokerage connection
  • Stocks, Funds, Cryptocurrencies
  • Dividend calendar
  • Returns analytics
  • IRR calculations
  • Benchmarking
  • Portfolio rebalancing
  • Multiple currencies and stock exchnages
  • Custom investments (real estate, deposits)
  • Binance API support
  • Top dividend stocks
  • 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

  • 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.

Analysis

An editorial look at what each product does well and who it suits.

Snowball Analytics
PostgreSQL

No analysis of Snowball Analytics yet.

Overall verdict

  • Yes, PostgreSQL is considered a high-quality and reliable database management system, suitable for a wide range of applications, from small-scale personal projects to large enterprise systems.

Why this product is good

  • PostgreSQL is known for its strong support of SQL standards and excellent documentation, making it reliable for complex database requirements.
  • It provides advanced features such as multi-version concurrency control (MVCC), point-in-time recovery, and support for advanced indexing techniques.
  • PostgreSQL offers robust performance optimization options, powerful extensions, and a highly customizable platform.
  • It has a strong open-source community, ensuring ongoing improvements and support.
  • PostgreSQL is compatible with popular development frameworks and languages, enhancing its versatility.

Recommended for

  • Organizations seeking a scalable and stable database solution with strong compliance with SQL standards.
  • Developers who need advanced features like custom data types and indexing capabilities.
  • Projects requiring robust transactional integrity and data consistency.
  • Businesses looking for a cost-effective open-source database solution with active community support.

Videos

Walkthroughs and reviews on video.

Snowball Analytics 1 video + Add
PostgreSQL 3 videos + Add

Snowball Analytics overview

Comparison of PostgreSQL and MongoDB

More videos

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

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Snowball Analytics
PostgreSQL
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using Snowball Analytics and PostgreSQL. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Snowball Analytics no reviews yet
PostgreSQL no reviews yet

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

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Snowball Analytics 33 mentions
PostgreSQL 19 mentions
  • Replacement for StockMarketEye?
    Https://snowball-analytics.com has categories, but about $150 a year for multiple portfolios. Source: about 3 years ago
  • Portfolio rebalancing
    If you're contributing monthly, use those funds to top up. Otherwise, there are online tools you can use to get rebalancing very close. I use https://snowball-analytics.com/ but there are others I'm sure. Source: over 3 years ago
  • Website or app to track all retirement accounts?
    You can try Snowball Analytics. Have been using the free edition for a while now and its OK but its not as comprehensive as other tools. Source: over 3 years ago

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Alternatives to Snowball Analytics and PostgreSQL

When comparing Snowball Analytics and PostgreSQL, you can also consider the following products.