Software Alternatives, Accelerators & Startups

PostgreSQL VS DataM Intelligence

Compare PostgreSQL VS DataM Intelligence and see what are their differences

PostgreSQL logo PostgreSQL

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

DataM Intelligence logo DataM Intelligence

DataM Insights: Database Subscription is the flagship SaaS platform of DataM Intelligence 4Market Research LLP, designed to empower global businesses with real-time, data-driven intelligence across key industries such as Food & Beverages, Healthcare
  • PostgreSQL Landing page
    Landing page //
    2023-10-21
  • DataM Intelligence
    Image date //
    2025-11-06

About DataM Insights โ€“ Database Subscription DataM Insights: Database Subscription is the flagship SaaS platform of DataM Intelligence 4Market Research LLP, designed to empower global businesses with real-time, data-driven intelligence across key industries such as Food & Beverages, Healthcare, Pharmaceuticals, Automotive, Semiconductors, ICT, Packaging, Chemicals, Mining, Equipment, and Energy & Power. Built for decision-makers, strategists, and competitive intelligence professionals, the DataM Insights platform centralizes everything you need to stay ahead of the market. Users can track competitors, analyze trends, and access 9,000+ research reports through an intuitive dashboard. With the Database Subscription, you can:

โœ… Monitor all competitors in one centralized dashboard

๐Ÿ“ฐ Access the latest industry news curated daily from trusted global sources

๐Ÿ“Š Unlock our complete library of syndicated market reports instantly

โœ๏ธ Request free customizations on any report to match your exact business requirements

๐Ÿ“„ Commission new, tailor-made reports at no additional cost

๐ŸŒ Drill down into regional and country-level intelligence for precise strategic planning

๐Ÿ” Leverage live global import/export databases for real-time trade and supply-chain analysis DataM Insights is redefining how market intelligence is consumed โ€” transforming static research into a dynamic, continuously updated decision-support ecosystem. With one subscription, you gain unlimited access to insights, trends, and competitor intelligence that drive growth, innovation, and global competitiveness.

DataM Intelligence

$ Details
freemium $10,000 / Annually
Startup details
Country
United States
State
Texas
Founder(s)
Nitin
Employees
20 - 49

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.

DataM Intelligence features and specs

No features have been listed yet.

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.

Analysis of DataM Intelligence

Overall verdict

  • DataM Intelligence is a mid-tier market research and consulting firm that offers a broad range of industry reports and custom research services at relatively competitive pricing, making it a reasonable choice for businesses seeking market insights without the premium cost of top-tier research firms, though buyers should independently verify data quality and methodology for critical decisions.

Why this product is good

  • Offers extensive coverage across multiple industries including healthcare, chemicals, technology, and consumer goods
  • Provides both syndicated off-the-shelf reports and customized research solutions tailored to specific business needs
  • Generally priced more affordably compared to larger, established market research firms
  • Delivers consulting services alongside reports, including market entry strategies and competitive analysis
  • Provides free sample reports allowing potential buyers to evaluate report quality before purchase

Recommended for

  • Small to medium-sized businesses with limited market research budgets
  • Companies needing quick industry overviews or market sizing data
  • Startups exploring new markets or validating business ideas
  • Consultants and analysts needing supplementary data points for broader research projects
  • Businesses seeking customized research on niche or emerging market segments

PostgreSQL videos

Comparison of PostgreSQL and MongoDB

More videos:

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

DataM Intelligence videos

No DataM Intelligence videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to PostgreSQL and DataM Intelligence)
Databases
100 100%
0% 0
Reports
0 0%
100% 100
Relational Databases
100 100%
0% 0
Market Research
0 0%
100% 100

Questions & Answers

As answered by people managing PostgreSQL and DataM Intelligence.

What makes your product unique?

DataM Intelligence's answer:

DataM Intelligence 4Market Research LLP stands out as a specialized market research firm focused on business intelligence, offering a proprietary data warehouse that delivers expert insights for strategic decision-making. Its uniqueness lies in providing a one-stop platform for syndicated and customized reports across 70+ domains and 45+ countries, with coverage spanning 30+ sectors, 700+ companies, and 100+ countries in 10+ industry verticals. Unlike general research providers, it emphasizes exhaustive analysis including market potential assessment, industry forecasting, full-scale segment analysis, and collaboration prospects, while publishing over 650+ reports, briefings, and forecasts annually with periodic updates to track fast-changing markets.

Why should a person choose your product over its competitors?

DataM Intelligence's answer:

Choosing DataM Intelligence 4Market Research LLP offers distinct advantages such as tailored reports crafted to exact client needs with short delivery timelines, as evidenced by testimonials praising their responsiveness and customization. It provides dedicated 24/7 analyst support for unlimited queries, comprehensive competitor examinations, and risk minimization through personalized insights into target customers, trends, and investment opportunities. With a vast network and rigorous data corroboration, it ensures reliable, up-to-date intelligence across diverse sectors like Chemicals, Agriculture, and Healthcareโ€”surpassing competitors by combining syndicated access with bespoke solutions and proven client satisfaction from global organizations.

How would you describe the primary audience of your product?

DataM Intelligence's answer:

The primary audience for DataM Intelligence 4Market Research LLP includes business leaders, entrepreneurs, research directors, and commercial managers from organizations across 700+ companies in 100+ countries. These are professionals in key industries such as Chemicals and Materials, Agriculture, Healthcare Services, Animal Feed, Food & Beverages, and more, who seek clarity in fast-changing markets for strategic decisions, product lifecycle enhancement, market entry prospects, and competitive analysis.

What's the story behind your product?

DataM Intelligence's answer:

DataM Intelligence 4Market Research LLP was founded as a market research firm dedicated to "inheriting business intelligence" by empowering clients with strategic insights drawn from a proprietary data warehouse. With rich experience in research and consulting across 70+ domains and 45+ countries, it evolved into a one-stop solution for syndicated and customized reports, starting with an online platform covering essential business areas in 35+ domains. The firm's story emphasizes close collaboration with clients, as highlighted in testimonials, to deliver pivotal market insights that uncover opportunities and mitigate risks, growing to publish 650+ reports yearly while maintaining a global network for comprehensive, corroborated data.

Which are the primary technologies used for building your product?

DataM Intelligence's answer:

DataM Intelligence 4Market Research LLP's productโ€”an online platform for report access and business analyticsโ€”relies on proprietary data warehousing technologies for storing and analyzing market intelligence. It incorporates tools for data corroboration, visualization (e.g., doughnut charts and maps for network representation), and periodic updates to ensure real-time insights. Specific technologies like databases, analytics software, and web development frameworks are implied for handling syndicated/customized reports, but no explicit programming languages or tools (e.g., Python, SQL) are detailed.

Who are some of the biggest customers of your product?

DataM Intelligence's answer:

WARISAN INVESTMENT PARTNERS (Reto Marx, Board Member & Entrepreneur) EFICE SA (Guillermo Pons Zolessi, Commercial Manager) AXIS RESEARCH LTD. (PHAM TUAN MINH, Research Development Director) HP (Ron M Firooz) European Federation for Construction Chemicals (EFCC) (DR. Alberto Arnavas, General Director)

User comments

Share your experience with using PostgreSQL and DataM Intelligence. 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 PostgreSQL and DataM Intelligence

PostgreSQL Reviews

Database Management Systems (DBMS) Comparison: SQL Server, MySQL, PostgreSQL, MongoDB, Oracle
Choosing the right database management system (DBMS) is a crucial decision that directly impacts your projectโ€™s performance and scalability. With a variety of options โ€” SQL Server, MySQL, PostgreSQL, MongoDB, Oracle, and more โ€” each offering unique features and capabilities, itโ€™s important to carefully match the type of database software to your specific needs. Consider...
Source: blog.devart.com
20 Best Database Management Software and Tools of 2026
Yes, several tools, such as MySQL, PostgreSQL, and MongoDB, offer free versions. While these are robust, enterprise editions or add-ons may come with additional costs for advanced features and support.
Source: infomineo.com
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, Peliqanโ€™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

DataM Intelligence Reviews

We have no reviews of DataM Intelligence 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 19 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 (19)

  • Create an API - Project Setup
    In this new series we will be creating an API written in go, using a framework like Chi, connecting to a PostgreSQL, and have it deployed to a site like Railway. - Source: dev.to / 5 months ago
  • PostgreSQL vs MySQL 2026: Which Database Wins for Modern Apps?
    PostgreSQL 17 Performance Guide โ€” Official docs for the latest performance improvements. - Source: dev.to / 6 months ago
  • #5 - 'The Power of [Separation] Compels You!'
    You also might be saying, Why not include the credit and attribution data with the product data and just use one data file? Thats a great question. I could have for the purpose of this demo, but if there were a backend to this project and a relational database like PostgreSQL attached to it, I would still have both sets of data in separate tables in the database. By using a foreign key between related records in... - Source: dev.to / 12 months ago
  • Convert insert mutation to upsert
    In this quick post, weโ€™ll walk through implementing an Upsert operation in Hasura using PostgreSQL and GraphQL. - Source: dev.to / almost 2 years ago
  • Perfect Elixir: Environment Setup
    Iโ€™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 / over 2 years ago
View more

DataM Intelligence mentions (0)

We have not tracked any mentions of DataM Intelligence yet. Tracking of DataM Intelligence recommendations started around Nov 2025.

What are some alternatives?

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

MySQL - The world's most popular open source database

Datazar - Datazar is an ecosystem to organize, index and uncover the most important asset in science and educated decision making, raw 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.

Dynamics 365 Customer Insights - Dynamics 365 Customer Insights is the versatile customer data platform that brings all transactional and demographical data together.

SQLite - SQLite Home Page

DataFactory by RightData - High Performance next gen Cloud Data Platform for all the Data practitioners initiatives.