Software Alternatives, Accelerators & Startups

ArangoDB VS Google Cloud Memorystore

Compare ArangoDB VS Google Cloud Memorystore and see what are their differences

ArangoDB logo ArangoDB

A distributed open-source database with a flexible data model for documents, graphs, and key-values.

Google Cloud Memorystore logo Google Cloud Memorystore

Redis Hosting
  • ArangoDB Landing page
    Landing page //
    2023-01-20
  • Google Cloud Memorystore Landing page
    Landing page //
    2023-10-04

ArangoDB features and specs

  • Graph DB

Google Cloud Memorystore features and specs

No features have been listed yet.

Analysis of ArangoDB

Overall verdict

  • ArangoDB is indeed a good option for those looking for a flexible, feature-rich, and scalable database solution. It caters to modern applications requiring diverse data representations and complex querying capabilities, particularly when graph functionality is vital. However, the right choice depends on specific project requirements and familiarity with ArangoDB’s features and ecosystem.

Why this product is good

  • ArangoDB is a highly versatile database solution known for its multi-model approach, which supports document, key/value, and graph data models. This flexibility allows for complex data structures and enables developers to use the most suitable model for their specific application needs all within a single database. Additionally, ArangoDB offers robust features such as a powerful query language (AQL), scalability, a flexible architecture, and native support for graph analytics, making it suitable for a wide range of use cases.

Recommended for

  • Developers and organizations needing a multi-model database solution
  • Projects requiring complex data analysis, including graph algorithms
  • Applications that can benefit from a flexible, schema-free data structure
  • Teams looking for scalability and horizontal expansion capabilities
  • Environments with diverse data representation needs where maintaining multiple databases is inefficient

ArangoDB videos

ArangoDB and Foxx Framework, deeper dive. WHILT#17

Google Cloud Memorystore videos

No Google Cloud Memorystore videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to ArangoDB and Google Cloud Memorystore)
Databases
97 97%
3% 3
NoSQL Databases
96 96%
4% 4
API Tools
0 0%
100% 100
Graph Databases
100 100%
0% 0

User comments

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Reviews

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

ArangoDB Reviews

9 Best MongoDB alternatives in 2019
ArangoDB is a native multi-model DBMS system. It supports three data models with one database core and a unified query language AQL. Its query language is declarative which helps you to compare different data access patterns by using a single query.
Source: www.guru99.com
Top 15 Free Graph Databases
ArangoDB is 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. ArangoDB
ArangoDB vs Neo4j - What you can't do with Neo4j
Scalability needs and ArangoDB ArangoDB is cluster ready for graphs, documents and key/values. ArangoDB is suitable for e.g. recommendation engines, personalization, Knowledge Graphs or other graph-related use cases. ArangoDB provides special features for scale-up (Vertex-centric indices) and scale-out (SmartGraphs).

Google Cloud Memorystore Reviews

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

Google Cloud Memorystore might be a bit more popular than ArangoDB. We know about 8 links to it since March 2021 and only 6 links to ArangoDB. 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.

ArangoDB mentions (6)

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Google Cloud Memorystore mentions (8)

  • Redis is open source again
    How did you come to that conclusion? GCP is still offering Memorystore for Redis, Valkey and Memcached. https://cloud.google.com/memorystore. - Source: Hacker News / about 1 month ago
  • Valkey 8.0.0 Is Out
    Google moved to Valkey: https://cloud.google.com/memorystore. - Source: Hacker News / 9 months ago
  • Ruby GCP session management
    I imagine that would work. I'd probably default to a redis https://cloud.google.com/memorystore because it feels more boring to me. Source: over 1 year ago
  • Best way to create a counter increment feature on user profile visits?
    I suggest you to use realtime database. It is cheaper than Memorystore (if you use in Google Cloud) and realtime database has a free tier. Source: almost 2 years ago
  • Cloud Function memory update
    Memorystore is Google-hosted Redis/Memcached. You could set up a virtual machine and install Redis/Memcached yourself, but Memorystore eliminates that extra work and provides you with a well-working cache out of the box. Source: about 2 years ago
View more

What are some alternatives?

When comparing ArangoDB and Google Cloud Memorystore, you can also consider the following products

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

DiceDB - DiceDB is an open-source, fast, reactive, in-memory database optimized for modern hardware. Commonly used as a cache, it offers a familiar interface while enabling real-time data updates through query subscriptions.

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

Google Cloud Pub/Sub - Cloud Pub/Sub is a flexible, reliable, real-time messaging service for independent applications to publish & subscribe to asynchronous events.

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

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