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Hadoop
Hadoop

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Hadoop vs HarperDB: 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; HarperDB: IoT Database that runs from the edge to the cloud. HarperDB is a database that optimizes the data value chain for any size company without sacrificing features, functionality and stability. HarperDB is designed to run from the edge to the cloud. HarperDB was founded in Denver, CO with the belief that database architecture can be simple and accessible to everyone.

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

Hadoop is an open source tool with 9.27K GitHub stars and 5.78K GitHub forks. Here's a link to Hadoop's open source repository on GitHub.

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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 HarperDB?

HarperDB is a database that optimizes the data value chain for any size company without sacrificing features, functionality and stability. HarperDB is designed to run from the edge to the cloud. HarperDB was founded in Denver, CO with the belief that database architecture can be simple and accessible to everyone.
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        What companies use Hadoop?
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        What tools integrate with Hadoop?
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          What are some alternatives to Hadoop and HarperDB?
          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 HarperDB
          StackShare Editors
          StackShare Editors
          Apache Thrift
          Apache Thrift
          Kotlin
          Kotlin
          Presto
          Presto
          HHVM (HipHop Virtual Machine)
          HHVM (HipHop Virtual Machine)
          gRPC
          gRPC
          Kubernetes
          Kubernetes
          Apache Spark
          Apache Spark
          Airflow
          Airflow
          Terraform
          Terraform
          Hadoop
          Hadoop
          Swift
          Swift
          Hack
          Hack
          Memcached
          Memcached
          Consul
          Consul
          Chef
          Chef
          Prometheus
          Prometheus

          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 HarperDB
          No reviews found
          How developers use Hadoop and HarperDB
          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 HarperDB cost?
          Pricing unavailable
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          News about HarperDB
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