Need advice about which tool to choose?Ask the StackShare community!

Atlas-DB

5
58
+ 1
0
Neo4j

969
1.1K
+ 1
340
Add tool

Atlas-DB vs Neo4j: What are the differences?

What is Atlas-DB? Backend for managing dimensional time series data, by Netflix. Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly.

What is Neo4j? The world’s leading Graph Database. Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.

Atlas-DB can be classified as a tool in the "Database Tools" category, while Neo4j is grouped under "Graph Databases".

Some of the features offered by Atlas-DB are:

  • Manages dimensional time series data
  • In-memory data storage
  • Captures operational intelligence

On the other hand, Neo4j provides the following key features:

  • intuitive, using a graph model for data representation
  • reliable, with full ACID transactions
  • durable and fast, using a custom disk-based, native storage engine

Atlas-DB and Neo4j are both open source tools. Neo4j with 6.61K GitHub stars and 1.63K forks on GitHub appears to be more popular than Atlas-DB with 2.4K GitHub stars and 204 GitHub forks.

Advice on Atlas-DB and Neo4j
Jaime Ramos
Needs advice
on
Neo4jNeo4jDgraphDgraph
and
ArangoDBArangoDB

Hi, I want to create a social network for students, and I was wondering which of these three Oriented Graph DB's would you recommend. I plan to implement machine learning algorithms such as k-means and others to give recommendations and some basic data analyses; also, everything is going to be hosted in the cloud, so I expect the DB to be hosted there. I want the queries to be as fast as possible, and I like good tools to monitor my data. I would appreciate any recommendations or thoughts.

Context:

I released the MVP 6 months ago and got almost 600 users just from my university in Colombia, But now I want to expand it all over my country. I am expecting more or less 20000 users.

See more
Replies (2)
Recommends
ArangoDBArangoDB

I have not used the others but I agree, ArangoDB should meet your needs. If you have worked with RDBMS and SQL before Arango will be a easy transition. AQL is simple yet powerful and deployment can be as small or large as you need. I love the fact that for my local development I can run it as docker container as part of my project and for production I can have multiple machines in a cluster. The project is also under active development and with the latest round of funding I feel comfortable that it will be around a while.

See more
David López Felguera
Full Stack Developer at NPAW · | 5 upvotes · 18.5K views
Recommends
ArangoDBArangoDB

Hi Jaime. I've worked with Neo4j and ArangoDB for a few years and for me, I prefer to use ArangoDB because its query sintax (AQL) is easier. I've built a network topology with both databases and now ArangoDB is the databases for that network topology. Also, ArangoDB has ArangoML that maybe can help you with your recommendation algorithims.

See more
Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Pros of Atlas-DB
Pros of Neo4j
    Be the first to leave a pro
    • 68
      Cypher – graph query language
    • 58
      Great graphdb
    • 31
      Open source
    • 29
      Rest api
    • 27
      High-Performance Native API
    • 24
      ACID
    • 20
      Easy setup
    • 15
      Great support
    • 10
      Clustering
    • 9
      Hot Backups
    • 8
      Great Web Admin UI
    • 7
      Powerful, flexible data model
    • 7
      Mature
    • 6
      Embeddable
    • 5
      Easy to Use and Model
    • 4
      Best Graphdb
    • 4
      Highly-available
    • 2
      It's awesome, I wanted to try it
    • 2
      Great onboarding process
    • 2
      Great query language and built in data browser
    • 2
      Used by Crunchbase

    Sign up to add or upvote prosMake informed product decisions

    Cons of Atlas-DB
    Cons of Neo4j
      Be the first to leave a con
      • 4
        Comparably slow
      • 4
        Can't store a vertex as JSON
      • 1
        Doesn't have a managed cloud service at low cost

      Sign up to add or upvote consMake informed product decisions

      What is Atlas-DB?

      Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly.

      What is Neo4j?

      Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Atlas-DB?
      What companies use Neo4j?
      See which teams inside your own company are using Atlas-DB or Neo4j.
      Sign up for Private StackShareLearn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Atlas-DB?
      What tools integrate with Neo4j?
        No integrations found

        Sign up to get full access to all the tool integrationsMake informed product decisions

        Blog Posts

        What are some alternatives to Atlas-DB and Neo4j?
        MongoDB Atlas
        MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. Enjoy the flexibility and scalability of a document database, with the ease and automation of a fully managed service on your preferred cloud.
        Azure Cosmos DB
        Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.
        MongoDB
        MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
        Slick
        It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
        Spring Data
        It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
        See all alternatives