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RavenDB vs RethinkDB: What are the differences?
- Data Model: RavenDB is a document database, emphasizing flexibility and ease of use when working with JSON data, while RethinkDB focuses on a real-time feed architecture with changefeeds to push updates to applications instantly.
- Query Language: RavenDB uses LINQ, a strongly typed querying language, making it more suitable for .NET developers, whereas RethinkDB uses ReQL, a functional language similar to JavaScript, offering more flexibility in querying.
- Replication: RavenDB supports multi-master replication with conflict resolution, allowing for better scalability and fault tolerance in distributed environments, while RethinkDB provides built-in sharding for distribution but lacks multi-master replication.
- ACID Compliance: RavenDB is ACID compliant, ensuring data consistency and reliability, which is crucial for transactional applications, whereas RethinkDB sacrifices some ACID properties for high availability and real-time capabilities.
- Community and Support: RavenDB has a larger community and commercial support backing, making it more suitable for enterprise applications requiring guaranteed support and maintenance, while RethinkDB has a smaller community and limited commercial backing, potentially affecting long-term viability and support options.
- Deployment Options: RavenDB can be deployed on-premises, in the cloud, or in a hybrid setup, offering flexibility in managing the database infrastructure, whereas RethinkDB is primarily designed for cloud-native applications, with optimized deployment options for cloud environments like Kubernetes.
In Summary, RavenDB and RethinkDB differ in their data model emphasis, query language, replication strategies, ACID compliance, community and support, and deployment options.
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Learn MorePros of RavenDB
Pros of RethinkDB
Pros of RavenDB
- Embedded Library4
- Easy of use3
- NoSql2
Pros of RethinkDB
- Powerful query language48
- Excellent dashboard46
- JSON42
- Distributed database41
- Open source38
- Reactive25
- Atomic updates16
- Joins15
- MVCC concurrency9
- Hadoop-style map/reduce9
- Geospatial support4
- Real-time, open-source, scalable4
- YC Company2
- A NoSQL DB with joins2
- Great Admin UI2
- Changefeeds: no polling needed to get updates2
- Fast, easily scalable, great customer support2
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What is RavenDB?
As a document database it remains true to the core principles of these type of storage mechanisms. Somehow it managed to combine the best of relational databases with that of document databases.
What is RethinkDB?
RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.
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What companies use RavenDB?
What companies use RethinkDB?
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What tools integrate with RavenDB?
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What are some alternatives to RavenDB and RethinkDB?
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).
Couchbase
Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
LiteDB
Embedded NoSQL database for .NET.
An open source MongoDB-like database with zero configuration - mobile ready
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.