Software Alternatives, Accelerators & Startups

Datadog APM VS PostgreSQL

Compare Datadog APM VS PostgreSQL and see what are their differences

Datadog APM logo Datadog APM

Datadog APM is one of the powerful tools that allows deep visibility into your application with out-of-the-box performance dashboards for web services, queues, and databases to observe requests, errors, or latency.

PostgreSQL logo PostgreSQL

PostgreSQL is a powerful, open source object-relational database system.
  • Datadog APM Landing page
    Landing page //
    2023-08-20
  • PostgreSQL Landing page
    Landing page //
    2023-10-21

Datadog APM features and specs

  • Comprehensive Monitoring
    Datadog APM provides end-to-end visibility into application performance, monitoring everything from front-end services to back-end queues. This ensures that users can identify and address issues at any layer of the application stack.
  • Unified Platform
    It integrates seamlessly with other Datadog products. This unified approach allows users to correlate data across logs, metrics, and resources, enabling more efficient troubleshooting and performance optimization.
  • Scalability
    Datadog APM is designed to scale effortlessly with growing data and traffic, making it suitable for organizations of various sizes and industries.
  • Real-time Monitoring and Alerts
    Provides real-time performance monitoring with customizable alerting capabilities, allowing teams to respond quickly to potential performance degradation or outages.
  • Broad Integration Support
    Supports a wide range of integrations with popular cloud providers, platforms, frameworks, and third-party tools, allowing for greater flexibility and ease of implementation in diverse IT environments.

Possible disadvantages of Datadog APM

  • Pricing Complexity
    Datadog's pricing model can become complex and potentially expensive, especially for organizations that scale their usage or require numerous integrations and extended features.
  • Learning Curve
    For new users or smaller teams, there may be a substantial learning curve due to its extensive features and capabilities. Time and effort are required to fully leverage the platform's potential.
  • Data Storage Limitations
    Retention periods for APM data may be limited, which could necessitate additional solutions or costs if long-term data storage is required for compliance or extended analysis purposes.
  • Complex Setup
    Initial implementation and configuration can be complex, especially for organizations with unique or intricate IT environments. It may require dedicated time and resources to achieve optimal setup.
  • Resource Intensive
    Datadog APM agents can be resource-intensive, and depending on the application's architecture, may impact system performance on monitored hosts.

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.

Analysis of PostgreSQL

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.

Datadog APM videos

Setup Datadog APM in One Minute

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 Datadog APM and PostgreSQL)
Business & Commerce
100 100%
0% 0
Databases
0 0%
100% 100
Monitoring Tools
100 100%
0% 0
Relational Databases
0 0%
100% 100

User comments

Share your experience with using Datadog APM and PostgreSQL. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Datadog APM Reviews

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

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, 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.

Datadog APM mentions (0)

We have not tracked any mentions of Datadog APM yet. Tracking of Datadog APM recommendations started around Aug 2021.

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 / 9 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

What are some alternatives?

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

Netflow Network Forensics - Netflow Network Forensics is an application monitoring tool that monitors packets and analyzes traffic activity for intrusion or malware detection.

MySQL - The world's most popular open source database

eG Enterprise - From application performance to user experience to infrastructure usage, get performance answers from a single console. Troubleshoot fast with actionable insights.

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.

Sematext - Troubleshooting just got easier.

SQLite - SQLite Home Page