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Nanonets OCR VS PostgreSQL

Compare Nanonets OCR VS PostgreSQL and see what are their differences

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Nanonets OCR logo Nanonets OCR

Intelligent text extraction using OCR and deep learning

PostgreSQL logo PostgreSQL

PostgreSQL is a powerful, open source object-relational database system.
  • Nanonets OCR Landing page
    Landing page //
    2022-03-22

Transform unstructured, human-readable text into structured and validated data using OCR + Deep Learning to extract relevant information. Digitize everything from documents, PDFs to number plates and utility meters. Extract relevant info and key fields.

  • PostgreSQL Landing page
    Landing page //
    2023-10-21

Nanonets OCR

Website
nanonets.com.s3-website-us-west-1.amazonaws.com
Pricing URL
Official Nanonets OCR Pricing
$ Details
freemium $99.0 / Monthly
Platforms
Browser iOS Android Windows REST API
Release Date
2019 August
Edit details

PostgreSQL

Website
postgresql.org
Pricing URL
Official PostgreSQL Pricing
$ Details
Platforms
-
Release Date
-
Edit details

Nanonets OCR features and specs

  • Accuracy
    Nanonets OCR offers high accuracy in text extraction from images, which is crucial for maintaining data integrity.
  • Ease of Use
    The interface and setup of Nanonets OCR are user-friendly, making it accessible even for those without advanced technical skills.
  • Customizability
    Nanonets allows users to train custom OCR models tailored to specific needs, enhancing its versatility across different use cases.
  • API Integration
    The platform provides robust API support, which makes it easy to integrate with existing workflows and applications.
  • Scalability
    Nanonets OCR can handle large volumes of data, making it suitable for both small businesses and large enterprises.

Possible disadvantages of Nanonets OCR

  • Cost
    Depending on usage, the pricing can become quite high, which might be a concern for startups and small businesses with limited budgets.
  • Internet Dependency
    As a cloud-based solution, Nanonets OCR requires a stable internet connection, which might not be ideal in areas with poor connectivity.
  • Privacy Concerns
    Uploading sensitive documents to the cloud for OCR processing can raise privacy and data security concerns for some users.
  • Learning Curve
    While the platform is generally user-friendly, there can still be a learning curve for those unfamiliar with OCR technology and machine learning.
  • Limited Offline Capability
    The lack of an offline version can be a drawback for users who need to perform OCR processing without an internet connection.

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.

Nanonets OCR 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 Nanonets OCR and PostgreSQL)

Nanonets OCR

PostgreSQL

OCR
100 100%
OCR
0% 0
Databases
0 0%
Databases
100% 100
AI
100 100%
AI
0% 0
Relational Databases
0 0%
Relational Databases
100% 100

User comments

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

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

Nanonets OCR Reviews

We have no reviews of Nanonets OCR yet.
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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 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.

Nanonets OCR mentions (0)

We have not tracked any mentions of Nanonets OCR yet. Tracking of Nanonets OCR recommendations started around Mar 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 / 8 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 Nanonets OCR 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

Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.

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.

PicturetoText.io - This picture to text converter allows you to convert and copy text from images and scanned documents for free of cost.

SQLite - SQLite Home Page

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