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Hadoop vs Oracle: What are the differences?

Hadoop: 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; Oracle: An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism. Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.

Hadoop and Oracle can be primarily classified as "Databases" tools.

"Great ecosystem" is the top reason why over 34 developers like Hadoop, while over 36 developers mention "Reliable" as the leading cause for choosing Oracle.

Hadoop is an open source tool with 9.26K GitHub stars and 5.78K GitHub forks. Here's a link to Hadoop's open source repository on GitHub.

Airbnb, Uber Technologies, and Spotify are some of the popular companies that use Hadoop, whereas Oracle is used by Netflix, ebay, and LinkedIn. Hadoop has a broader approval, being mentioned in 237 company stacks & 127 developers stacks; compared to Oracle, which is listed in 106 company stacks and 92 developer stacks.

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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 Oracle?

Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
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    What are some alternatives to Hadoop and Oracle?
    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.
    Snowflake
    Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
    See all alternatives
    Decisions about Hadoop and Oracle
    StackShare Editors
    StackShare Editors
    Prometheus
    Prometheus
    Chef
    Chef
    Consul
    Consul
    Memcached
    Memcached
    Hack
    Hack
    Swift
    Swift
    Hadoop
    Hadoop
    Terraform
    Terraform
    Airflow
    Airflow
    Apache Spark
    Apache Spark
    Kubernetes
    Kubernetes
    gRPC
    gRPC
    HHVM (HipHop Virtual Machine)
    HHVM (HipHop Virtual Machine)
    Presto
    Presto
    Kotlin
    Kotlin
    Apache Thrift
    Apache Thrift

    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 Oracle
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    How developers use Hadoop and Oracle
    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 Onezino Gabriel
    Onezino Gabriel uses OracleOracle

    Gerenciamento de banco de dados utilizados por odos os serviços/aplicações criados

    Avatar of Robert Brown
    Robert Brown uses HadoopHadoop

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

    Avatar of Adrian Harabulă
    Adrian Harabulă uses OracleOracle

    recommended solution at school, also used to try out alternatives to MySQL

    Avatar of Rohith Nandakumar
    Rohith Nandakumar uses HadoopHadoop

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

    Avatar of Satoru Ishikawa
    Satoru Ishikawa uses OracleOracle

    データベース構成設計や実際のデータ操作など。実作業では9i, 10g, 11gを触った。

    Avatar of Hyunwoo Shim
    Hyunwoo Shim uses OracleOracle

    Oracle을 통해 RDB를 학습하였습니다.

    Avatar of douglasresende
    douglasresende uses OracleOracle

    I'm expert database.

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