ArangoDB vs Citus vs RethinkDB

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ArangoDB
ArangoDB

131
154
+ 1
139
Citus
Citus

32
34
+ 1
8
RethinkDB
RethinkDB

255
256
+ 1
297

What is ArangoDB?

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

What is Citus?

It's an extension to Postgres that distributes data and queries in a cluster of multiple machines. Its query engine parallelizes incoming SQL queries across these servers to enable human real-time (less than a second) responses on large datasets.

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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Why do developers choose ArangoDB?
Why do developers choose Citus?
Why do developers choose RethinkDB?

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      What companies use ArangoDB?
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      What companies use RethinkDB?

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      What tools integrate with RethinkDB?

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      What are some alternatives to ArangoDB, Citus, and RethinkDB?
      Neo4j
      Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
      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.
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      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.
      OrientDB
      It is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.
      See all alternatives
      Decisions about ArangoDB, Citus, and RethinkDB
      Dan Robinson
      Dan Robinson
      at Heap, Inc. · | 16 upvotes · 56.7K views
      atHeapHeap
      PostgreSQL
      PostgreSQL
      Citus
      Citus
      #DataStores
      #Databases

      PostgreSQL was an easy early decision for the founding team. The relational data model fit the types of analyses they would be doing: filtering, grouping, joining, etc., and it was the database they knew best.

      Shortly after adopting PG, they discovered Citus, which is a tool that makes it easy to distribute queries. Although it was a young project and a fork of Postgres at that point, Dan says the team was very available, highly expert, and it wouldn’t be very difficult to move back to PG if they needed to.

      The stuff they forked was in query execution. You could treat the worker nodes like regular PG instances. Citus also gave them a ton of flexibility to make queries fast, and again, they felt the data model was the best fit for their application.

      #DataStores #Databases

      See more
      Dan Robinson
      Dan Robinson
      at Heap, Inc. · | 14 upvotes · 66.9K views
      atHeapHeap
      Heap
      Heap
      Citus
      Citus
      PostgreSQL
      PostgreSQL
      Kafka
      Kafka
      Node.js
      Node.js
      #MessageQueue
      #Databases
      #FrameworksFullStack

      At Heap, we searched for an existing tool that would allow us to express the full range of analyses we needed, index the event definitions that made up the analyses, and was a mature, natively distributed system.

      After coming up empty on this search, we decided to compromise on the “maturity” requirement and build our own distributed system around Citus and sharded PostgreSQL. It was at this point that we also introduced Kafka as a queueing layer between the Node.js application servers and Postgres.

      If we could go back in time, we probably would have started using Kafka on day one. One of the biggest benefits in adopting Kafka has been the peace of mind that it brings. In an analytics infrastructure, it’s often possible to make data ingestion idempotent.

      In Heap’s case, that means that, if anything downstream from Kafka goes down, we won’t lose any data – it’s just going to take a bit longer to get to its destination. We also learned that you want the path between data hitting your servers and your initial persistence layer (in this case, Kafka) to be as short and simple as possible, since that is the surface area where a failure means you can lose customer data. We learned that it’s a very good fit for an analytics tool, since you can handle a huge number of incoming writes with relatively low latency. Kafka also gives you the ability to “replay” the data flow: it’s like a commit log for your whole infrastructure.

      #MessageQueue #Databases #FrameworksFullStack

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      Łukasz Korecki
      Łukasz Korecki
      CTO & Co-founder at EnjoyHQ · | 12 upvotes · 112.1K views
      atEnjoyHQEnjoyHQ
      RethinkDB
      RethinkDB
      MongoDB
      MongoDB
      PostgreSQL
      PostgreSQL

      We initially chose RethinkDB because of the schema-less document store features, and better durability resilience/story than MongoDB In the end, it didn't work out quite as we expected: there's plenty of scalability issues, it's near impossible to run analytical workloads and small community makes working with Rethink a challenge. We're in process of migrating all our workloads to PostgreSQL and hopefully, we will be able to decommission our RethinkDB deployment soon.

      See more
      Interest over time
      Reviews of ArangoDB, Citus, and RethinkDB
      No reviews found
      How developers use ArangoDB, Citus, and RethinkDB
      Avatar of Sine Wave Entertainment
      Sine Wave Entertainment uses RethinkDBRethinkDB

      High-speed update-aware storage used in our region server infrastructure; provides a good middle layer for storage of rapidly modified information.

      Avatar of Runbook
      Runbook uses RethinkDBRethinkDB

      Main database, using it in multiple datacenters in an active-active configuration.

      Avatar of King's Digital Lab
      King's Digital Lab uses ArangoDBArangoDB

      Multi-model DB: document (JSON), graph, key-value

      TO BE EVALUATED

      Avatar of Tobe O
      Tobe O uses RethinkDBRethinkDB

      Angel includes support for multiple databases, out-of-the-box.

      Avatar of Mike MacCana
      Mike MacCana uses RethinkDBRethinkDB

      As a boring document oriented database with safe defaults.

      Avatar of Stefan Gojan
      Stefan Gojan uses ArangoDBArangoDB

      Persist user actions and information in documents

      Avatar of Domraider
      Domraider uses RethinkDBRethinkDB

      Sharded and replicated storage, NoSQL with joins

      Avatar of Minyoung Kim
      Minyoung Kim uses ArangoDBArangoDB

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