Software Alternatives & Reviews

Google Cloud Bigtable VS ArangoDB

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

Google Cloud Bigtable logo Google Cloud Bigtable

A high performance NoSQL database service for large analytical and operational workloads.

ArangoDB logo ArangoDB

A distributed open-source database with a flexible data model for documents, graphs, and key-values.
  • Google Cloud Bigtable Landing page
    Landing page //
    2023-09-12
  • ArangoDB Landing page
    Landing page //
    2023-01-20

Google Cloud Bigtable features and specs

No features have been listed yet.

ArangoDB features and specs

  • Graph DB: Yes

Google Cloud Bigtable videos

Scalability Meetup @ Whitepages - Google Cloud BigTable

ArangoDB videos

ArangoDB and Foxx Framework, deeper dive. WHILT#17

Category Popularity

0-100% (relative to Google Cloud Bigtable and ArangoDB)
Databases
10 10%
90% 90
NoSQL Databases
9 9%
91% 91
Relational Databases
25 25%
75% 75
Graph Databases
0 0%
100% 100

User comments

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Reviews

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

Google Cloud Bigtable Reviews

7 Best NoSQL APIs
When businesses need to scale, they want to do so with limited downtime. The Google Cloud Bigtable provides horizontal Scaling in a matter of seconds without any downtime. To scale, cluster nodes are quickly added to increase your overall Bigtable cluster. Google even provides the option of scaling out only for a matter of hours, to handle a large load of requests. Once the...

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).

Social recommendations and mentions

Based on our record, Google Cloud Bigtable should be more popular than ArangoDB. It has been mentiond 6 times since March 2021. 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.

Google Cloud Bigtable mentions (6)

  • Vaultree and AlloyDB: the world's first Fully Homomorphic and Searchable Cloud Encryption Solution
    In my opinion, Google has built some fantastic database services like Bigtable and Spanner, which literally changed the industry for good, and I am eager to see how they will build upon this new service. With AlloyDB's disaggregated architecture, the dystopian world where I only pay for SQL databases per query and the stored data on GCP seems closer than ever. - Source: dev.to / over 1 year ago
  • Google Cloud Reference
    Cloud Bigtable: Petabyte-scale, low-latency, non-relational 🔗Link 🔗Link. - Source: dev.to / over 1 year ago
  • A Graph-Based Firebase
    > These triples say that the Layer with id 1 has a fontSize 20 and backgroundColor blue. Since they are different rows, there’s no conflict. This sounds a lot like Bigtable (https://cloud.google.com/bigtable), which also does last-write-wins conflict resolution layer. So this is adding a GraphQL + frontend layer to it? - Source: Hacker News / over 1 year ago
  • The 4 Types of NoSQL Databases You Need to Know
    Google's BigTable paper inspired this database design, and it is capable of handling large data loads on distributed machines. In addition, column-oriented databases provide efficient compression and high performance with aggregated queries such as sum, average, and minimum. - Source: dev.to / almost 2 years ago
  • Can someone help me understand why data batch processing and data streaming processing pose such different challenges in data management?
    Because of these and other differences, the tools used are also different. With batch processing, data might be read from large files, processed, and stored in an OLTP (Online Transaction Processing) database (like MySQL) or OLAP (Online Analytical Processing) system (like Google BigQuery). But these would not be good solutions for streaming applications, because they are not optimized for high throughput on a lot... Source: over 2 years ago
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ArangoDB mentions (3)

What are some alternatives?

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

Amazon DynamoDB - Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon.

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

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

Azure Cosmos DB - NoSQL JSON database for rapid, iterative app development.

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

OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.