FoundationDB
FoundationDB

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Hadoop
Hadoop

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FoundationDB vs Hadoop: What are the differences?

FoundationDB: Multi-model database with particularly strong fault tolerance, performance, and operational ease. 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; 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.

FoundationDB and Hadoop can be categorized as "Databases" tools.

"ACID transactions" is the top reason why over 2 developers like FoundationDB, while over 34 developers mention "Great ecosystem" as the leading cause for choosing Hadoop.

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.

- No public GitHub repository available -

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.

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 are some alternatives to FoundationDB and Hadoop?
        CockroachDB
        Cockroach Labs is the company building CockroachDB, an open source, survivable, strongly consistent, scale-out SQL database.
        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.
        Redis
        Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
        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.
        Couchbase
        Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
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        Decisions about FoundationDB and Hadoop
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        How developers use FoundationDB and Hadoop
        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?

        How much does FoundationDB cost?
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