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CouchDB has proven to be a valuable tool in various industries and projects. For instance, it is widely used in the Big Data Insight …
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What is CouchDB?
Apache CouchDB is an HTTP + JSON document database with Map Reduce views and bi-directional replication. The Couch Replication Protocol is implemented in a variety of projects and products that span computing environments from globally distributed server-clusters, over mobile phones…
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What is CouchDB?
Apache CouchDB is an HTTP + JSON document database with Map Reduce views and bi-directional replication. The Couch Replication Protocol is implemented in a variety of projects and products that span computing environments from globally distributed server-clusters, over mobile phones to web browsers.
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| Mobile Application | No |
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TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
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CouchDB has proven to be a valuable tool in various industries and projects. For instance, it is widely used in the Big Data Insight Product Division for development and production environment setups. Its flexibility and scalability make it an attractive alternative to relational databases like MySQL, especially when handling large amounts of unstructured data. In media-oriented companies such as advertising and film, CouchDB is utilized to manage vast quantities of distributed and rapidly changing file sets.
Additionally, CouchDB finds its utility in mobile applications that require offline data storage. The sync capability of the database has been highly beneficial in ensuring seamless data availability even when users are offline. Legacy applications that previously relied on SQL databases have successfully migrated to CouchDB, resulting in improved response times. Another use case involves route planning for sales forces, where CouchDB serves as a central farm for mobile devices, with content partitioned per user.
Moreover, CouchDB plays a crucial role in storing time-series data for test sensor networks, while introducing users to non-SQL concepts and technologies. Its simplicity, ease of setup and configuration, and developer friendliness have made it the go-to NoSQL database server for globally used network testing and security products. Customers value CouchDB for its ability to save and access thousands of crucial documents representing vital information for their activities.
Furthermore, CouchDB is leveraged by Datawhere, a file intelligence platform that helps individuals and businesses find digital assets across platforms, devices, and geographic barriers. By working seamlessly with Logstash and Elasticsearch, CouchDB provides fast and powerful search functionality for customers. It also assists in storing a million SERP pages gathered daily and parsing them to find ads on each page.
Overall, CouchDB's diverse use cases span from social media analytics systems to file management in media-oriented companies, enabling offline data storage in mobile apps, facilitating database migration from SQL systems, supporting route planning for sales forces, storing time-series data for sensor networks, and serving as the main NoSQL information database server for global network testing and security products. Its versatility, reliability, and ease of use position it as a valuable tool in various domains.
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March 16, 2019
CouchDB: If you're looking for a quick and dirty document oriented database management system (DDBMS) look no further!
CouchDB fulfills a nice problem for us: we use it to store time-series data for a test sensor network, and it is a great introduction to non-SQL concepts and technologies. After performing feasibility analysis on a few projects looking for a good, solid no-SQL solution, several platforms were examined, including MongoDB. However, for this particular project, MongoDB was simply too large for the Job, and no one on the staff had much experience with non-SQL DBMS's. So, we needed a small, powerful database that worked out of the box, and was easy to understand and therefore implement. The value proposition of CouchDB is its simplicity: It's easy to setup and configure and therefore easy to delegate to an IT analyst, and not worry about blowing project funds on hiring outside talent (usually). The Second proposition of CouchDB is that it is developer friendly: you don't need a salesman from XYZ, Corp. to pitch your development team(s) multi-grand licensing deals just to get it up and running: it's open source and works on all of the big platforms (i.e. OSes).
March 11, 2019
Easy to setup, flexible and highly available. All you need to do is relax on the CouchDB
Currently, we use CouchDB in various projects throughout our Big Data Insight Product Division for development and production environment setup. Mainly it is being used to store serialized (JSON formatted) unstructured data. For our development environment, usually, a single node DB is more than sufficient for prototyping and to deliver Minimum Viable Product (MVP). However, for production setup, which demands High Availability (HA), a cluster DB with replication capability is a must.
March 31, 2017
CouchDB for analytics
It's being used as a document store for a social media analytics system, dumping thousands of updates an hour into a map/reduce system that generates reports and feeds into other task-specific databases. It's a more flexible alternative to relational databases like MySQL, and is easier to scale due to master-master replication.
March 08, 2017
CouchDB - The Hidden Gem of NoSQL Databases
Datawhere provides a file intelligence platform that helps people and companies find digital assets ("file") across platforms, devices, and geographic barriers. Our customers are mostly in media-oriented companies - advertising, film, visual effects, post-production, etc., - that have large numbers of distributed, rapidly changing file sets that are touched by many users.
We use CouchDB + Logstash + Elasticsearch to provide incredibly fast, powerful "search and do stuff" functionality for our customers. And they love it!
We use CouchDB + Logstash + Elasticsearch to provide incredibly fast, powerful "search and do stuff" functionality for our customers. And they love it!
March 08, 2017
CouchDB has a worse performance than AWS S3
It held a million SERP pages gathered each day. That information was then parsed to find ads on each page. Building the views and actually deleting files with a compact took ages. On a large AWS server, it took about a day to delete information for one day which has to happen every 6 months. We replaced CouchDB a year ago with AWS S3 and S3 has been amazing. We keep track of the metadata to pull S3 files in our own data base.
March 08, 2017
CouchDB Fanboy
It is being used within all the mobile applications we develop where offline data is needed. The ability for CouchDB to sync is truly amazing and saved us lots of headaches and heartache.
December 08, 2016
Fast and reliable replacement as day to day DB.
There are multiple legacy applications which use SQL databases as a backend for services which are invoked from POS systems. We managed to migrate these applications to CouchDB which provided a faster response.
May 17, 2016
CouchDB, our data frenemy
I am using CouchDB as the main NoSQL information database server for our product, a globally used network testing and security product. CouchDB helps us save and access thousands of documents of crucial information representing the data points and meta data of the product activities.
April 19, 2016
Chillaxin
CouchDB was used for data replication across different audiences and when users were in offline mode (no/low internet). It was initially used as a proof of concept with an intent to use across mobile apps.
March 22, 2016
CouchDB: NOSQL is faster than SQL
CouchDB is corporate wide solution used for:
- route planning for sales force
- a central farm and mobile devices replicating the content partitioned per user