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Data Science for Business VS neo4j

Compare Data Science for Business VS neo4j and see what are their differences

Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI featured
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.
Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Data Science for Business logo Data Science for Business

Data mining and data-analytic thinking

neo4j logo neo4j

Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
  • Data Science for Business Landing page
    Landing page //
    2021-09-22
  • neo4j Landing page
    Landing page //
    2023-05-09

Data Science for Business

Website
shop.oreilly.com
Pricing URL
-
$ Details
-
Release Date
-
Edit details

neo4j

Website
neo4j.com
Pricing URL
Official neo4j Pricing
$ Details
Release Date
2007 January
Startup details
Country
United States
State
California
City
San Mateo
Founder(s)
Emil Eifrem
Employees
500 - 999
Edit details

Data Science for Business features and specs

  • Informed Decision-Making
    Data science provides businesses with in-depth insights from complex data analysis, enabling informed decision-making and strategic planning.
  • Efficiency Improvement
    By automating data analysis, businesses can improve operational efficiency, saving time and reducing costs associated with manual data processing.
  • Competitive Advantage
    Data science empowers businesses to identify trends, predict consumer behavior, and innovate, offering a significant competitive advantage in the marketplace.
  • Customer Insights
    Through data science, businesses can gain a deeper understanding of customer needs and preferences, allowing for more personalized and effective marketing strategies.

Possible disadvantages of Data Science for Business

  • High Initial Costs
    Implementing data science solutions can be costly initially due to the need for software, technology infrastructure, and specialized personnel.
  • Complex Data Interpretation
    The results from data science processes can be complex and may require specialized knowledge to interpret correctly, which can be a barrier for some businesses.
  • Data Privacy Concerns
    Data science involves handling large amounts of data, raising concerns over data privacy and the need to comply with regulations such as GDPR.
  • Skilled Workforce Requirement
    A successful data science initiative requires skilled data scientists and analysts, whose recruitment and retention can be challenging for businesses.

neo4j features and specs

  • Graph DB

Analysis of neo4j

Overall verdict

  • Yes, Neo4j is generally regarded as a good choice for applications where understanding and leveraging relationships between data points is crucial. Its mature ecosystem, active community, and extensive documentation further enhance its credibility and usability.

Why this product is good

  • Neo4j is considered a leading graph database platform that is highly effective for storing and querying complex data relationships. It is appreciated for its powerful query language, Cypher, useful for handling connected data. Its graph model is intuitive for users to understand and map to real-world applications, making it popular for use cases such as social networking, recommendation engines, and fraud detection.

Recommended for

  • Social network analysis
  • Recommendation systems
  • Fraud detection
  • Network and IT operations
  • Knowledge graphs
  • Data lineage tracking

Data Science for Business videos

+ Add

Putting Data to Work: Data Science for Business

neo4j videos

+ Add

All about GRAND Stack: GraphQL, React, Apollo, and Neo4j

More videos:

  • Review - Kevin Van Gundy | Building a Recommendation Engine with Neo4j and Python

Category Popularity

0-100% (relative to Data Science for Business and neo4j)

Data Science for Business

neo4j

Data Dashboard
100 100%
Data Dashboard
0% 0
Databases
0 0%
Databases
100% 100
Business Intelligence
100 100%
Business Intelligence
0% 0
Graph Databases
0 0%
Graph Databases
100% 100

User comments

Share your experience with using Data Science for Business and neo4j. 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 Data Science for Business and neo4j

Data Science for Business Reviews

We have no reviews of Data Science for Business yet.
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neo4j Reviews

Top 15 Free Graph Databases
Neo4j is an open-source graph database, implemented in Java described as embedded, disk-based, fully transactional Java persistence engine that stores data structured in graphs rather than in tables. Neo4j Community Edition
Source: www.predictiveanalyticstoday.com
ArangoDB vs Neo4j - What you can't do with Neo4j
Multi-Model: Neo4j is a single-model graph database. It does not support any other data models. If your application requires a document or key/value store, you would have to use a second database technology to support it. Being multi-model, ArangoDB allows you to not only use one database for everything,but run ad hoc queries on data stored in different models.
Source: www.arangodb.com

Social recommendations and mentions

Based on our record, neo4j seems to be more popular. It has been mentiond 34 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.

Data Science for Business mentions (0)

We have not tracked any mentions of Data Science for Business yet. Tracking of Data Science for Business recommendations started around Mar 2021.

neo4j mentions (34)

  • 6 retrieval augmented generation (RAG) techniques you should know
    The key difference lies in the retrieval mechanism. Vector databases focus on semantic similarity by comparing numerical embeddings, while graph databases emphasize relations between entities. Two solutions for graph databases are Neptune from Amazon and Neo4j. In a case where you need a solution that can accommodate both vector and graph, Weaviate fits the bill. - Source: dev.to / 5 months ago
  • LLM to extract and auto generate knowledge graph - step by step, in ~100 lines of python
    Neo4j is a leading graph database that is easy to use and powerful for knowledge graphs. - Source: dev.to / 5 months ago
  • 10 Ways AI Can Speed Up your Mobile App Development
    Neo4j is one of the most popular graph databases. It offers powerful querying capabilities through its Cypher query language. - Source: dev.to / 8 months ago
  • Databases in 2024: A Year in Review
    Great heads up. I wonder about graph databases. He mentioned and both include the graph use case and I wonder how they compare to . - Source: Hacker News / 9 months ago
  • Installing Neo4j In Ubuntu
    The first blog in this series is to install neo4j - desktop version and few plugins which would help us to build an application. I am using Ubuntu 22.04.4 LTS. - Source: dev.to / about 1 year ago
View more

What are some alternatives?

When comparing Data Science for Business and neo4j, you can also consider the following products

DBHub.io - A "Cloud" for SQLite databases. Collaborative development for your data. :) - sqlitebrowser/dbhub.io

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

Data VC - Ai-platform for investors and founders

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

BuildOrNot.io - Professional startup data analysis platform! Discover 30K+ AI startup projects, 50K+ Reddit startup ideas, 10K+ startup revenue data. Data-driven entrepreneurship decisions to boost your startup success rate by 90%.

OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.

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