Get Advice Icon

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

Hadoop
Hadoop

1.1K
866
+ 1
48
Neo4j
Neo4j

482
386
+ 1
276
Add tool

Hadoop vs Neo4j: What are the differences?

Developers describe Hadoop as "Open-source software for reliable, scalable, distributed computing". The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. On the other hand, Neo4j is detailed as "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.

Hadoop and Neo4j are primarily classified as "Databases" and "Graph Databases" tools respectively.

"Great ecosystem" is the primary reason why developers consider Hadoop over the competitors, whereas "Cypher – graph query language" was stated as the key factor in picking Neo4j.

Hadoop and Neo4j are both open source tools. Hadoop with 9.18K GitHub stars and 5.74K forks on GitHub appears to be more popular than Neo4j with 6.56K GitHub stars and 1.62K GitHub forks.

Slack, Shopify, and SendGrid are some of the popular companies that use Hadoop, whereas Neo4j is used by Movielala, Hinge, and Sportsy. Hadoop has a broader approval, being mentioned in 237 company stacks & 116 developers stacks; compared to Neo4j, which is listed in 114 company stacks and 47 developer stacks.

What is Hadoop?

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

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.
Get Advice Icon

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

Why do developers choose Hadoop?
Why do developers choose Neo4j?

Sign up to add, upvote and see more prosMake informed product decisions

    Be the first to leave a con
    Jobs that mention Hadoop and Neo4j as a desired skillset
    What companies use Hadoop?
    What companies use Neo4j?

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

    What tools integrate with Hadoop?
    What tools integrate with Neo4j?

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

    What are some alternatives to Hadoop and Neo4j?
    Cassandra
    Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
    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.
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    Splunk
    Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
    HBase
    Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
    See all alternatives
    Decisions about Hadoop and Neo4j
    StackShare Editors
    StackShare Editors
    Apache Thrift
    Apache Thrift
    Kotlin
    Kotlin
    Presto
    Presto
    HHVM (HipHop Virtual Machine)
    HHVM (HipHop Virtual Machine)
    gRPC
    gRPC
    Kubernetes
    Kubernetes
    Apache Spark
    Apache Spark
    Airflow
    Airflow
    Terraform
    Terraform
    Hadoop
    Hadoop
    Swift
    Swift
    Hack
    Hack
    Memcached
    Memcached
    Consul
    Consul
    Chef
    Chef
    Prometheus
    Prometheus

    Since the beginning, Cal Henderson has been the CTO of Slack. Earlier this year, he commented on a Quora question summarizing their current stack.

    Apps
    • Web: a mix of JavaScript/ES6 and React.
    • Desktop: And Electron to ship it as a desktop application.
    • Android: a mix of Java and Kotlin.
    • iOS: written in a mix of Objective C and Swift.
    Backend
    • The core application and the API written in PHP/Hack that runs on HHVM.
    • The data is stored in MySQL using Vitess.
    • Caching is done using Memcached and MCRouter.
    • The search service takes help from SolrCloud, with various Java services.
    • The messaging system uses WebSockets with many services in Java and Go.
    • Load balancing is done using HAproxy with Consul for configuration.
    • Most services talk to each other over gRPC,
    • Some Thrift and JSON-over-HTTP
    • Voice and video calling service was built in Elixir.
    Data warehouse
    • Built using open source tools including Presto, Spark, Airflow, Hadoop and Kafka.
    Etc
    See more
    Interest over time
    Reviews of Hadoop and Neo4j
    Avatar of maxsumrall
    Software Engineer at Picnic
    Review ofNeo4jNeo4j

    Neo4j is a great graph database, but it's also a great tool for any application in general. The data model is easy to figure out and is flexible to use as your application changes in the early stages. Further, there are constraints you can add to get data consistency once you have a firm data model. The built in admin tool makes it easy to review the data, see how your application is being used, and has a great query plan visualizer for when you want to optimize for performance.

    How developers use Hadoop and Neo4j
    Avatar of King's Digital Lab
    King's Digital Lab uses Neo4jNeo4j

    Graph database

    To be evaluated

    • + Leading Graph DB provider, large community
    • + Rich querying language
    • + Tools to visualise and interact visually with results

    Possible alternative to triple store.

    Questions:

    • does it support full text search?
    • does it support some sort of inference or derived relationships (e.g. transitivity, symmetry)?

    - does it support faceted search?

    Avatar of Pinterest
    Pinterest uses HadoopHadoop

    The MapReduce workflow starts to process experiment data nightly when data of the previous day is copied over from Kafka. At this time, all the raw log requests are transformed into meaningful experiment results and in-depth analysis. To populate experiment data for the dashboard, we have around 50 jobs running to do all the calculations and transforms of data.

    Avatar of Yelp
    Yelp uses HadoopHadoop

    in 2009 we open sourced mrjob, which allows any engineer to write a MapReduce job without contending for resources. We’re only limited by the amount of machines in an Amazon data center (which is an issue we’ve rarely encountered).

    Avatar of Pinterest
    Pinterest uses HadoopHadoop

    The massive volume of discovery data that powers Pinterest and enables people to save Pins, create boards and follow other users, is generated through daily Hadoop jobs...

    Avatar of Robert Brown
    Robert Brown uses HadoopHadoop

    Importing/Exporting data, interpreting results. Possible integration with SAS

    Avatar of Rohith Nandakumar
    Rohith Nandakumar uses HadoopHadoop

    TBD. Good to have I think. Analytics on loads of data, recommendations?

    Avatar of Christopher Davison
    Christopher Davison uses Neo4jNeo4j

    Used for the Knowledge and Social graph databases

    Avatar of Walter
    Walter uses Neo4jNeo4j

    Social graph; introductions.

    Avatar of Nough You
    Nough You uses Neo4jNeo4j

    Studying relationships

    Avatar of Minyoung Kim
    Minyoung Kim uses Neo4jNeo4j

    사용자 팔로잉 관계 데이터 저장

    How much does Hadoop cost?
    How much does Neo4j cost?
    Pricing unavailable
    Pricing unavailable