Software Alternatives, Accelerators & Startups

ArangoDB VS Google Cloud Bigtable

Compare ArangoDB VS Google Cloud Bigtable 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 Bigtable logo Google Cloud Bigtable

A high performance NoSQL database service for large analytical and operational workloads.
  • ArangoDB Landing page
    Landing page //
    2023-01-20
  • Google Cloud Bigtable Landing page
    Landing page //
    2023-09-12

ArangoDB features and specs

  • Graph DB

Google Cloud Bigtable features and specs

  • Scalability
    Google Cloud Bigtable is designed to scale horizontally to handle massive amounts of data across millions of rows and thousands of columns. This makes it ideal for applications needing to handle large datasets with high throughput.
  • Low Latency
    Bigtable is optimized for low-latency access to big data. It is capable of delivering real-time responses, which is beneficial for applications that require fast read and write operations.
  • Seamless Integration
    Bigtable integrates easily with other GCP services like Google Cloud Storage, BigQuery, and Dataflow, simplifying the development of complex applications that require various cloud services.
  • Managed Service
    As a managed service, Bigtable handles routine operations such as scaling, replication, and failure recovery, allowing users to focus on application development rather than infrastructure management.
  • Strong Consistency
    Bigtable provides strong consistency for read and write operations, ensuring that data is reliable and consistent across operations and query results.

Possible disadvantages of Google Cloud Bigtable

  • Complexity of Use
    Bigtable can be complex to set up and use effectively, especially for those who are unfamiliar with NoSQL databases or distributed systems.
  • Cost
    While scalable, the pricing can become expensive as your requirements grow, especially if you need high throughput and large storage capacities.
  • Limited Querying Capabilities
    Unlike relational databases, Bigtable has limited querying capabilities. It does not support SQL-like queries, making it less suitable for applications that require complex querying options.
  • Region-Specific Availability
    Bigtable is available only in certain regions, which might limit its use for global applications requiring multi-region deployments for latency optimization.
  • Learning Curve
    There's a significant learning curve for new users to understand Bigtable's architecture and its best practices, which can delay the development process.

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 Bigtable videos

Scalability Meetup @ Whitepages - Google Cloud BigTable

Category Popularity

0-100% (relative to ArangoDB and Google Cloud Bigtable)
Databases
91 91%
9% 9
NoSQL Databases
93 93%
7% 7
Graph Databases
100 100%
0% 0
Relational Databases
79 79%
21% 21

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 Bigtable

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 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...

Social recommendations and mentions

Google Cloud Bigtable might be a bit more popular than ArangoDB. We know about 6 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 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 2 years ago
  • Google Cloud Reference
    Cloud Bigtable: Petabyte-scale, low-latency, non-relational 🔗Link 🔗Link. - Source: dev.to / almost 3 years 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 / almost 3 years 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 3 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 3 years ago
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What are some alternatives?

When comparing ArangoDB and Google Cloud Bigtable, 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.

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

Amazon Aurora - MySQL and PostgreSQL-compatible relational database built for the cloud. Performance and availability of commercial-grade databases at 1/10th the cost.

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

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

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