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Extract Tables by Docsumo VS PostgreSQL

Compare Extract Tables by Docsumo VS PostgreSQL and see what are their differences

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Extract Tables by Docsumo logo Extract Tables by Docsumo

Free tool to extract tables from PDF & Images

PostgreSQL logo PostgreSQL

PostgreSQL is a powerful, open source object-relational database system.
  • Extract Tables by Docsumo Landing page
    Landing page //
    2023-05-21
  • PostgreSQL Landing page
    Landing page //
    2023-10-21

Extract Tables by Docsumo features and specs

  • User-Friendly Interface
    The tool offers a simple and intuitive interface that makes it easy for users to upload PDFs and image files and extract tables without needing technical skills.
  • Accurate Data Extraction
    Docsumo's table extraction tool uses advanced algorithms to accurately extract tables from various formats, minimizing errors and ensuring high data fidelity.
  • Supports Multiple Formats
    The tool can handle PDFs and images, providing flexibility for users who work with different types of document formats.
  • Free to Use
    This tool is available for free, making it accessible for individuals and small businesses without the need for a financial commitment.
  • No Installation Required
    Being a web-based tool, users can access it directly from their browser without needing to download or install any software.

Possible disadvantages of Extract Tables by Docsumo

  • Limited Features
    As a free tool, it may not include advanced features available in paid versions, like batch processing or custom data extraction settings.
  • File Size Limitations
    The tool may impose restrictions on the size of files you can upload, limiting its use for large documents or multiple file extractions.
  • Dependent on Internet Connection
    Being an online tool, users need a stable internet connection for proper usage, which could be a drawback in areas with poor connectivity.
  • Privacy Concerns
    Uploading documents to an online service might raise privacy and security concerns, especially when dealing with sensitive or confidential data.
  • Potential for Incomplete Extraction
    While generally accurate, complex table formats or poor quality images might result in incomplete or incorrect data extraction.

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.

Extract Tables by Docsumo videos

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PostgreSQL videos

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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 Extract Tables by Docsumo and PostgreSQL)

Extract Tables by Docsumo

PostgreSQL

AI Tools
100 100%
AI Tools
0% 0
Databases
0 0%
Databases
100% 100
Bookkeeping And Accounting
100 100%
Bookkeeping And Accounting
0% 0
Relational Databases
0 0%
Relational Databases
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 Extract Tables by Docsumo and PostgreSQL

Extract Tables by Docsumo Reviews

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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...
Source: pradeepchhetri.xyz
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 should be more popular than Extract Tables by Docsumo. 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.

Extract Tables by Docsumo mentions (2)

  • Tabula – Extract tables from PDF files
    This is neat. Over Docsumo [0] we have a combination of ML plus NLP+Computer Vision algorithms to detect the tables: [0] - https://docsumo.com/free-tools/extract-tables-from-pdf-images. - Source: Hacker News / about 4 years ago
  • Show HN: I made a tool to convert images of tables to CSV
    Our older pipelines use image-processing-based approaches. However, they had too much assumptions in them (for instance, header texts, column types, etc). Now, we've moved onto to ML-based approach to train generic models that can be applied to variety of documents for table structure recognition. [0] - https://docsumo.com/free-tools/extract-tables-from-pdf-images. - Source: Hacker News / about 4 years ago

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
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What are some alternatives?

When comparing Extract Tables by Docsumo and PostgreSQL, you can also consider the following products

Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.

MySQL - The world's most popular open source database

Invoice Data Extraction - From Invoice Chaos to Organized Data in Minutes.

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.

Free Online OCR [Docsumo] - Extract Data Accurately from any type of Image or PDF Document.

SQLite - SQLite Home Page

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