Get Advice Icon

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

Hadoop
Hadoop

1K
826
+ 1
48
ToroDB
ToroDB

0
3
+ 1
0
Add tool

Hadoop vs ToroDB: What are the differences?

What is 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.

What is ToroDB? Open source, document-oriented, JSON database that runs on top of PostgreSQL. ToroDB is an open source, document-oriented, JSON database that runs on top of PostgreSQL, providing storage and I/O savings and ACID semantics. ToroDB is MongoDB-compatible, so you can use Mongo clients to connect to it.

Hadoop and ToroDB belong to "Databases" category of the tech stack.

Hadoop and ToroDB are both open source tools. It seems that Hadoop with 9.26K GitHub stars and 5.78K forks on GitHub has more adoption than ToroDB with 10 GitHub stars and 2 GitHub forks.

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 ToroDB?

ToroDB is an open source, document-oriented, JSON database that runs on top of PostgreSQL, providing storage and I/O savings and ACID semantics. ToroDB is MongoDB-compatible, so you can use Mongo clients to connect to it.
Get Advice Icon

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

Why do developers choose Hadoop?
Why do developers choose ToroDB?
    Be the first to leave a pro
    What are the cons of using Hadoop?
    What are the cons of using ToroDB?
      Be the first to leave a con
        Be the first to leave a con
        What companies use Hadoop?
        What companies use ToroDB?
          No companies found

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

          What tools integrate with Hadoop?
          What tools integrate with ToroDB?

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

          What are some alternatives to Hadoop and ToroDB?
          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 ToroDB
          No stack decisions found
          Interest over time
          Reviews of Hadoop and ToroDB
          No reviews found
          How developers use Hadoop and ToroDB
          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 Hadoop cost?
          How much does ToroDB cost?
          Pricing unavailable
          News about ToroDB
          More news