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ArangoDB vs CouchDB: What are the differences?
Introduction:
ArangoDB and CouchDB are both NoSQL databases that are designed to handle large amounts of data and provide high performance. However, there are key differences between the two that make them suitable for different use cases.
1. Data Model:
ArangoDB is a multi-model database, which means it supports multiple data models including document, graph, and key-value. It allows users to store and manage structured, semi-structured, and unstructured data in a single database. On the other hand, CouchDB is a document-oriented database that stores data in JSON format. It is specifically designed for handling semi-structured data and provides a simple and flexible storage model.
2. Query Language:
ArangoDB uses a query language called AQL (ArangoDB Query Language) for performing complex queries and data manipulation. AQL is a powerful language that supports a wide range of operations and allows users to combine document, graph, and key-value operations in a single query. In contrast, CouchDB uses map-reduce functions for querying and data transformation. Map-reduce allows users to define custom functions for extracting and processing data from documents.
3. Replication and Scalability:
ArangoDB supports both master-slave and active-passive replication, which allows users to create replicas of their data for fault tolerance and high availability. It also provides support for sharding, which enables horizontal scalability by distributing the data across multiple servers. On the other hand, CouchDB supports master-master replication, where the databases can sync with each other bidirectionally. This allows for decentralized data replication and enables offline access to data. However, CouchDB does not natively support sharding for horizontal scalability.
4. Licensing:
ArangoDB is licensed under the Apache 2.0 license, which allows users to freely download, use, and modify the software. It also allows for commercial use. CouchDB, on the other hand, is licensed under the Apache License 2.0 as well, but it has an additional term called the "Commons Clause". The Commons Clause restricts the commercial use of CouchDB and prohibits users from selling CouchDB as a service without obtaining a separate license.
5. Indexing:
ArangoDB supports various types of indexing including primary, secondary, hash, skiplist, and fulltext indexes. This allows for efficient searching and querying of data based on different criteria. CouchDB, on the other hand, only supports simple B-tree indexes on fields within the documents. While this is sufficient for many use cases, it may limit the flexibility and performance of complex queries.
6. Community and Ecosystem:
ArangoDB has a strong and active community with regular updates and contributions from the user community. It has a growing ecosystem of libraries, tools, and extensions that enhance its functionality. CouchDB also has an active community, but it is relatively smaller compared to ArangoDB. It has a mature ecosystem with various plugins and extensions, but it may not have as many options as ArangoDB.
In Summary, ArangoDB is a multi-model database with support for various data models, a powerful query language, and extensive indexing capabilities. It also provides advanced replication and scalability options. CouchDB, on the other hand, is a document-oriented database with a simple storage model, map-reduce queries, and decentralized replication. While both databases have their strengths, the choice between them depends on the specific use case and requirements.
Hello All, I'm building an app that will enable users to create documents using ckeditor or TinyMCE editor. The data is then stored in a database and retrieved to display to the user, these docs can contain image data also. The number of pages generated for a single document can go up to 1000. Therefore by design, each page is stored in a separate JSON. I'm wondering which database is the right one to choose between ArangoDB and PostgreSQL. Your thoughts, advice please. Thanks, Kashyap
Which Graph DB features are you planning to use?
I’m newbie I was developing a pouchdb and couchdb app cause if the sync. Lots of learning very little code available. I dropped the project cause it consumed my life. Yeats later I’m back into it. I researched other db and came across rethinkdb and mongo for the subscription features. With socketio I should be able to create and similar sync feature. Attempted to use mongo. I attempted to use rethink. Rethink for the win. Super clear l. I had it running in minutes on my local machine and I believe it’s supposed to scale easy. Mongo wasn’t as easy and there free online db is so slow what’s the point. Very easy to find mongo code examples and use rethink code in its place. I wish I went this route years ago. All that corporate google Amazon crap get bent. The reason they have so much power in the world is cause you guys are giving it to them.
So, we started using foundationDB for an OLAP system although the inbuilt tools for some core things like aggregation and filtering were negligible, with the high through put of the DB, we were able to handle it on the application. The system has been running pretty well for the past 6 months, although the data load isn’t very high yet, the performance is fairly promising
Our application data all goes in SQL. We will use something like Cosmos or Couch DB if one or both of these conditions are true: * We need to ingest a large amount of bulk data from a third party, and integrating it straight into an RDBMS with referential integrity checks would create a performance hit * We need to ingest a large amount of data that does not have a clearly defined, or consistent schema. In either case, we will have a process that migrates the data from Cosmos/Couch to SQL in a way that doesn't create a noticeable performance hit and ensures that we are not introducing bad data to the system. Because of this, there is a third condition that must be met: the data that is coming in must be something that the users will not need immediately, i.e. stock ticker information, real-time telemetry from other systems for performance/safety monitoring, etc.
We implemented our first large scale EPR application from naologic.com using CouchDB .
Very fast, replication works great, doesn't consume much RAM, queries are blazing fast but we found a problem: the queries were very hard to write, it took a long time to figure out the API, we had to go and write our own @nodejs library to make it work properly.
It lost most of its support. Since then, we migrated to Couchbase and the learning curve was steep but all worth it. Memcached indexing out of the box, full text search works great.
Pros of ArangoDB
- Grahps and documents in one DB37
- Intuitive and rich query language26
- Good documentation25
- Open source25
- Joins for collections21
- Foxx is great platform15
- Great out of the box web interface with API playground14
- Good driver support6
- Low maintenance efforts6
- Clustering6
- Easy microservice creation with foxx5
- You can write true backendless apps4
- Managed solution available2
- Performance0
Pros of CouchDB
- JSON43
- Open source30
- Highly available18
- Partition tolerant12
- Eventual consistency11
- Sync7
- REST API5
- Attachments mechanism to docs4
- Multi master replication4
- Changes feed3
- REST interface1
- js- and erlang-views1
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Cons of ArangoDB
- Web ui has still room for improvement3
- No support for blueprints standard, using custom AQL2