Software Alternatives, Accelerators & Startups

GOCR VS ArangoDB

Compare GOCR VS ArangoDB and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

GOCR logo GOCR

GOCR homepage. GOCR is an OCR (Optical Character Recognition) program, developed under the GNU Public License.

ArangoDB logo ArangoDB

A distributed open-source database with a flexible data model for documents, graphs, and key-values.
  • GOCR Landing page
    Landing page //
    2021-09-30
  • ArangoDB Landing page
    Landing page //
    2023-01-20

GOCR features and specs

  • Open Source
    GOCR is open source, allowing users to modify and improve the software according to their needs without licensing costs.
  • Cross-Platform
    GOCR can be compiled and used on different operating systems such as Linux, Windows, and macOS, providing flexibility for users across various platforms.
  • Customizable
    Users can integrate and customize GOCR to suit specific OCR requirements, making it adaptable for different applications.
  • Community Support
    Being open source, GOCR benefits from community-driven support and contributions, helping improve its functionality and address bugs.

Possible disadvantages of GOCR

  • Accuracy Issues
    GOCR may not be as accurate as some commercial OCR solutions, especially with complex fonts or poor quality images.
  • Limited Features
    GOCR lacks some advanced features found in commercial OCR tools, such as table recognition and multilingual support.
  • User-Friendliness
    The interface may not be as user-friendly as commercial counterparts, which can pose a challenge for less technically-inclined users.
  • Maintenance
    Being an open-source project, updates and maintenance rely on community activity, which can lead to delays or lack of support.

ArangoDB features and specs

  • Graph DB

Analysis of ArangoDB

Overall verdict

  • ArangoDB is indeed a good option for those looking for a flexible, feature-rich, and scalable database solution. It caters to modern applications requiring diverse data representations and complex querying capabilities, particularly when graph functionality is vital. However, the right choice depends on specific project requirements and familiarity with ArangoDB’s features and ecosystem.

Why this product is good

  • ArangoDB is a highly versatile database solution known for its multi-model approach, which supports document, key/value, and graph data models. This flexibility allows for complex data structures and enables developers to use the most suitable model for their specific application needs all within a single database. Additionally, ArangoDB offers robust features such as a powerful query language (AQL), scalability, a flexible architecture, and native support for graph analytics, making it suitable for a wide range of use cases.

Recommended for

  • Developers and organizations needing a multi-model database solution
  • Projects requiring complex data analysis, including graph algorithms
  • Applications that can benefit from a flexible, schema-free data structure
  • Teams looking for scalability and horizontal expansion capabilities
  • Environments with diverse data representation needs where maintaining multiple databases is inefficient

GOCR videos

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ArangoDB videos

ArangoDB and Foxx Framework, deeper dive. WHILT#17

Category Popularity

0-100% (relative to GOCR and ArangoDB)
OCR
100 100%
0% 0
Databases
0 0%
100% 100
PDF Tools
100 100%
0% 0
NoSQL Databases
0 0%
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 GOCR and ArangoDB

GOCR Reviews

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ArangoDB Reviews

9 Best MongoDB alternatives in 2019
ArangoDB is a native multi-model DBMS system. It supports three data models with one database core and a unified query language AQL. Its query language is declarative which helps you to compare different data access patterns by using a single query.
Source: www.guru99.com
Top 15 Free Graph Databases
ArangoDB is a distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions. ArangoDB
ArangoDB vs Neo4j - What you can't do with Neo4j
Scalability needs and ArangoDB ArangoDB is cluster ready for graphs, documents and key/values. ArangoDB is suitable for e.g. recommendation engines, personalization, Knowledge Graphs or other graph-related use cases. ArangoDB provides special features for scale-up (Vertex-centric indices) and scale-out (SmartGraphs).

Social recommendations and mentions

Based on our record, ArangoDB seems to be more popular. It has been mentiond 6 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.

GOCR mentions (0)

We have not tracked any mentions of GOCR yet. Tracking of GOCR recommendations started around Mar 2021.

ArangoDB mentions (6)

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What are some alternatives?

When comparing GOCR and ArangoDB, you can also consider the following products

Tesseract - Tesseract is an optical character recognition engine for various operating systems

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Onlineocr.net - Free Online OCR service allows you to convert PDF document to MS Word file, scanned images to editable text formats and extract text from JPEG/TIFF/BMP files

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

ABBYY FineReader - ABBYY's latest PDF editor software, FineReader 16 you can easily convert files like PDF to Excel, PDF to Word, edit, share, collaborate & more with this PDF editor!

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.