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neo4j VS Google StackDriver

Compare neo4j VS Google StackDriver and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

neo4j logo neo4j

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

Google StackDriver logo Google StackDriver

Stackdriver provides monitoring services for cloud-powered applications.
  • neo4j Landing page
    Landing page //
    2023-05-09
  • Google StackDriver Landing page
    Landing page //
    2023-05-11

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

Google StackDriver

Website
cloud.google.com
Pricing URL
-
$ Details
Release Date
-
Edit details

neo4j features and specs

  • Graph DB

Google StackDriver features and specs

  • Comprehensive Monitoring
    Google StackDriver provides extensive monitoring capabilities for applications running on Google Cloud Platform (GCP), Amazon Web Services (AWS), and even on-premises systems. This centralized monitoring offers seamless integration and a unified view of the health of your entire infrastructure.
  • Integrated Logging
    StackDriver includes powerful logging capabilities that allow you to collect, analyze, and visualize logs from various sources. Its integration with Google Cloud Logging allows for easy search, alerting, and insights.
  • Alerting and Incident Response
    StackDriver comes with advanced alerting features that notify you of any issues in real-time. It supports multiple channels like email, SMS, and third-party services, helping you respond proactively to incidents.
  • Auto-Generated Dashboards
    StackDriver provides auto-generated dashboards for various GCP and AWS services, making it easier for users to start monitoring their cloud resources immediately without extensive configuration.
  • Integration with Other Google Services
    Being a part of Google Cloud, StackDriver seamlessly integrates with other Google services such as BigQuery, Cloud Storage, and Google Kubernetes Engine, among others, providing more robust data analysis and visualization capabilities.

Possible disadvantages of Google StackDriver

  • Cost
    The pricing for StackDriver can become expensive, especially for large-scale applications with a significant number of resources and logs. Costs can quickly escalate based on usage, making budgeting a challenge.
  • Complexity
    While StackDriver offers a comprehensive set of features, the platform can be complex to set up and configure correctly, particularly for newcomers or smaller teams without dedicated DevOps resources.
  • AWS Integration Limitations
    Although StackDriver supports AWS, the integration is not as deep as it is with GCP. Some advanced features and metrics may not be available for AWS resources, limiting its effectiveness for multi-cloud environments.
  • Learning Curve
    The extensive functionality of StackDriver comes with a steep learning curve. Users may require significant time and training to fully leverage all the features and to set up effective monitoring and alerting systems.
  • Data Retention Limitations
    StackDriver's data retention policies might be restrictive for some use cases. By default, log data retention is limited, and extending the retention period can incur additional costs, affecting long-term analysis and auditing.

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

Analysis of Google StackDriver

Overall verdict

  • Google StackDriver is considered a good solution for operations management within the Google Cloud ecosystem. It offers comprehensive monitoring and logging capabilities, making it an advantageous choice for organizations already utilizing Google Cloud services.

Why this product is good

  • Google StackDriver, now known as Google Cloud Operations Suite, is generally regarded as a robust tool for monitoring, logging, and debugging applications running on Google Cloud Platform (GCP) and on-premises. It integrates seamlessly with other Google Cloud services, providing a unified view of your resources. Its features like real-time monitoring, alerting, and metric visualization help in maintaining application performance and reliability.

Recommended for

    Google StackDriver is recommended for organizations using Google Cloud Platform looking to leverage integrated monitoring and logging solutions. It is especially beneficial for DevOps teams, system administrators, and developers who need detailed insights and alerting for GCP-hosted applications. Businesses seeking a unified monitoring solution for hybrid environments that include both cloud and on-premises systems will also find it beneficial.

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

Google StackDriver videos

+ Add

Google Stackdriver Monitoring | Walkthrough, Thoughts, and Review

Category Popularity

0-100% (relative to neo4j and Google StackDriver)

neo4j

Google StackDriver

Databases
100 100%
Databases
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Graph Databases
100 100%
Graph Databases
0% 0
Log Management
0 0%
Log Management
100% 100

User comments

Share your experience with using neo4j and Google StackDriver. 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 neo4j and Google StackDriver

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

Google StackDriver Reviews

We have no reviews of Google StackDriver yet.
Be the first one to post

Social recommendations and mentions

Based on our record, neo4j seems to be a lot more popular than Google StackDriver. While we know about 34 links to neo4j, we've tracked only 1 mention of Google StackDriver. 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.

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 / about 1 month 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 / about 2 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 / 4 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 / 5 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 / 10 months ago
View more

Google StackDriver mentions (1)

  • 10 Best Cloud Monitoring Tools for 2025
    Formerly Stackdriver, Google Cloud Operations Suite offers monitoring, logging, and diagnostics for applications on Google Cloud Platform. It provides real-time insights and integrates seamlessly with other Google Cloud services. - Source: dev.to / about 1 month ago

What are some alternatives?

When comparing neo4j and Google StackDriver, you can also consider the following products

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

Komodor - The Kubernetes native troubleshooting platform

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

ALog ConVerter - Server access log solution for finance and manufacturing

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

Devo - Devo delivers real-time operational & business value from analytics on streaming and historical data to operations.

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