Software Alternatives & Startups

PostgreSQL VS Tarantool

Compare PostgreSQL VS Tarantool and see what are their differences

PostgreSQL

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

Rating
0 reviews
Pricing
Open source
Tarantool

A NoSQL database running in a Lua application server.

Rating
0 reviews

Which is more popular?

Based on our record, PostgreSQL seems to be more popular. It has been mentioned 19 times since March 2021.

social mentions
19 vs 0
Databases popularity
98% vs 2%
alternatives listed
240+ vs 21

Base details

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

PostgreSQL
Tarantool
Website postgresql.org tarantool.io
Pricing
Open source Official pricing
—
Company Startup from the United States —
Listed in

Features and specs

What each product offers, as listed by its team.

PostgreSQL 7 features
Tarantool 5 features
  • 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.
  • High Performance
    Tarantool is renowned for its high-speed transactions and low-latency response times, making it suitable for applications that require fast data processing.
  • In-Memory Storage
    Utilizes an in-memory architecture, which enhances data retrieval speeds, beneficial for real-time applications and caching solutions.
  • Lua Integration
    Provides seamless integration with Lua scripting, allowing developers to easily write stored procedures and embed logic directly with the data layer.
  • Scalability
    Offers features like asynchronous replication and sharding, enabling horizontal scaling for large-scale applications.
  • Flexible Schema
    Supports schema-less design, giving developers the flexibility to handle data without strict schemas, making it versatile for evolving data models.

Possible disadvantages

  • Limited Community Support
    Being a less mainstream technology compared to other databases, it has a smaller community, which might mean less third-party resources and community-driven support.
  • Complexity
    Its powerful features can add complexity, making it potentially challenging for developers unfamiliar with in-memory databases and advanced configurations.
  • Fewer Integrations
    Compared to more popular databases, Tarantool may have fewer out-of-the-box integrations with third-party applications and services.
  • Learning Curve
    Requires understanding of Lua scripting and its architecture, which might pose a learning hurdle for developers accustomed to more conventional databases.
  • Limited Documented Use Cases
    There is a relative scarcity of documented use cases and real-world applications, which could be a drawback for companies looking for proven and documented success stories.

Analysis

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

PostgreSQL
Tarantool

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.

No analysis of Tarantool yet.

Videos

Walkthroughs and reviews on video.

PostgreSQL 3 videos + Add
Tarantool 3 videos + Add

Comparison of PostgreSQL and MongoDB

More videos

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

5. СУБД в HighLoad. Tarantool | Технострим

More videos

  • - Поговорим про Tarantool.io, что это такое и как живёт
  • - Принципы и приёмы обработки очередей / Константин Осипов (tarantool.org)

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
PostgreSQL
Tarantool
98% 98%
2% 2%
98% 98%
2% 2%
95% 95%
5% 5%
100% 100%
0% 0%

User comments

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Reviews and articles

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

PostgreSQL no reviews yet
Tarantool no reviews yet

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

Social recommendations and mentions

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

PostgreSQL 19 mentions
Tarantool 0 mentions

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Tracking Tarantool since Mar 2021.

Alternatives to PostgreSQL and Tarantool

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