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CouchDB VS Google Cloud Dataproc

Compare CouchDB VS Google Cloud Dataproc and see what are their differences

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CouchDB logo CouchDB

HTTP + JSON document database with Map Reduce views and peer-based replication

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • CouchDB Landing page
    Landing page //
    2021-10-14
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

CouchDB videos

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couchdb

Google Cloud Dataproc videos

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Dataproc

Category Popularity

0-100% (relative to CouchDB and Google Cloud Dataproc)

CouchDB

Google Cloud Dataproc

Databases
100 100%
Databases
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare CouchDB and Google Cloud Dataproc

CouchDB Reviews

12 Best Open-source Database Backend Server and Google Firebase Alternatives
CouchDB is a multipurpose open-soure database engine with a developer-friendly API and rich web admin dashboard. It offers user crud operation and authentication out-of-the-box. It also supports documents upload, file attachment and storage.CouchDB is proven to build offline-first apps with PouchDB support. It has a dead-simple configuration and works seamlessly on Windows,...
Source: medevel.com
16 Top Big Data Analytics Tools You Should Know About
The prominent big data analytics tools that use non-relational databases are MongoDB, Cassandra, Oracle No-SQL, and Apache CouchDB. We’ll dive into each one of these and cover their respective features.
Source: www.analytixlabs.co.in
9 Best MongoDB alternatives in 2019
CouchDB is an open source NoSQL data which is based on the common standard to offer web accessibility with a variety of devices. Data in CouchDB is stored in JSON format, and organized as key-value pairs.
Source: www.guru99.com
20+ MongoDB Alternatives You Should Know About
Nice round-up Peter, I would suggest an edit to the CouchDB section that seems to mix up Couchbase with it. They are two different products and deserve a section for each.
Source: www.percona.com

Google Cloud Dataproc Reviews

We have no reviews of Google Cloud Dataproc yet.
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Social recommendations and mentions

Based on our record, CouchDB should be more popular than Google Cloud Dataproc. It has been mentiond 16 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

CouchDB mentions (16)

  • Creating an offline node.js app, but what can I use as a database?
    CouchDB is a json based database for simple projects. The fork pouchdb offers lots of support for offline. Source: about 1 year ago
  • How to run WebAssembly from your Rust Program
    Apache CouchDB belongs to the family of NoSQL databases. It is a document store with a strong focus on Replication and reliability. One of the most significant differences Between CouchDB and a relational database (besides the absence of tables And schemas) is how you query data. Relational databases allow their Users to execute arbitrary and dynamic queries via SQL. Each SQL query may look Completely... - Source: dev.to / over 1 year ago
  • Help need for Third Year Computer Science Project which is a dating website.
    For non-SQL-based databases, consider MongoDB, or CouchDB, which are very easy to get started with. Source: almost 2 years ago
  • How would you implement online offline db sync?
    You can implement the sync algorithm from scratch, or you can use tools like CouchDB and turtleDB to help you. Source: about 2 years ago
  • Alternative to MongoDB?
    I've heard people recommend CouchDB, no personal expience though. It is also nosql, somewhat similar to mongo. The selling feature is easy scalability. I'm planning to take a weekend to try it out myself. Https://couchdb.apache.org/. Source: about 2 years ago
View more

Google Cloud Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 2 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago

What are some alternatives?

When comparing CouchDB and Google Cloud Dataproc, you can also consider the following products

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...

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