Oracle vs. HBase vs. FoundationDB
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Description |
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 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.
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What is FoundationDB?FoundationDB is a NoSQL database with a shared nothing architecture. Designed around a "core" ordered key-value database, additional features and data models are supplied in layers. The key-value database, as well as all layers, supports full, cross-key and cross-server ACID transactions.
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Want advice about which of these to choose?Ask the StackShare community!Ask a Question |
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Pros |
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Cons |
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Pricing |
How much does Oracle cost?
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How much does HBase cost?
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How much does FoundationDB cost?
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Companies |
What companies use Oracle?
82 companies on StackShare use Oracle
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What companies use HBase?
48 companies on StackShare use HBase
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What companies use FoundationDB?
1 companies on StackShare use FoundationDB
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Integrations |
What tools integrate with Oracle?
13 tools on StackShare integrate with Oracle
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What tools integrate with HBase?
3 tools on StackShare integrate with HBase
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No integrations listed yet
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What are some alternatives to Oracle, HBase, and FoundationDB?
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How developers use Oracle vs HBase vs FoundationDB
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adrianharabula uses Oracle
recommended solution at school, also used to try out alternatives to MySQL
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Pinterest uses HBase
The final output is inserted into HBase to serve the experiment dashboard. We also load the output data to Redshift for ad-hoc analysis. For real-time experiment data processing, we use Storm to tail Kafka and process data in real-time and insert metrics into MySQL, so we could identify group allocation problems and send out real-time alerts and metrics.
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