Hadoop vs. Oracle vs. ArangoDB
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Hacker News, Reddit, Stack Overflow Stats |
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GitHub Stats |
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Description |
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.
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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 is ArangoDB?A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
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Want advice about which of these to choose?Ask the StackShare community! |
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Pros |
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Cons |
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Companies |
What companies use Hadoop?
281 companies on StackShare use Hadoop
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What companies use Oracle?
131 companies on StackShare use Oracle
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What companies use ArangoDB?
21 companies on StackShare use ArangoDB
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Integrations |
What tools integrate with Hadoop?
15 tools on StackShare integrate with Hadoop
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What tools integrate with Oracle?
15 tools on StackShare integrate with Oracle
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No integrations listed yet
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What are some alternatives to Hadoop, Oracle, and ArangoDB?
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Latest News |
Elasticsearch for Apache Hadoop 6.2.0 Released
February 06, 2018
How to Get Hadoop Data into a Python Model
December 20, 2017
Elasticsearch for Apache Hadoop 6.0.0 GA is Released
November 14, 2017
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Related Comparisons
Interest Over Time
Reviews of Hadoop, Oracle, and ArangoDB
How developers use Hadoop vs Oracle vs ArangoDB
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Pinterest uses Hadoop
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.
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Yelp uses Hadoop
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).
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Pinterest uses Hadoop
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...
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adrianharabula uses Oracle
recommended solution at school, also used to try out alternatives to MySQL
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