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Amazon Neptune vs Google Cloud Bigtable comparison

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Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Relational databases are never good at identifying patterns in graphs or other similar relationships, whereas Amazon Neptune is."

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"It's very user-friendly where streaming data is required.""The most valuable feature is the backup and replication service.""Bigtable is faster than other competitors in the market. It helps us collate all the data, and the security features are great. The latency is low, and the computation speed is fantastic. Bigtable is also a managed service, so you don't have to worry about anything aside from analyzing the data ingested."

More Google Cloud Bigtable Pros →

Cons
"Amazon Neptune could improve by spreading more awareness for others to have an understanding of the solution because the technology is fairly new. The developer community and larger community do not understand it yet."

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"This product needs better security and transparency, and the price should be reduced.""I've used Bigtable for about three or four years.""The cost of this product is too expensive."

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Pricing and Cost Advice
  • "Microsoft Azure and Amazon AWS are on par for pricing and Google has been raising its prices."
  • More Amazon Neptune Pricing and Cost Advice →

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    Use our free recommendation engine to learn which Managed NoSQL Databases solutions are best for your needs.
    634,550 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:Relational databases are never good at identifying patterns in graphs or other similar relationships, whereas Amazon Neptune is.
    Top Answer:Microsoft Azure and Amazon AWS are on par for pricing and Google has been raising its prices.
    Top Answer:Amazon Neptune could improve by spreading more awareness for others to have an understanding of the solution because the technology is fairly new. The developer community and larger community do not… more »
    Top Answer:The most valuable feature is the backup and replication service.
    Top Answer:For onboarding customers, it is critical that there is transparency and that the price is reasonable. This product needs better security and transparency, and the price should be reduced.
    Top Answer:We are a product team and we implement solutions such as Bigtable for our clients. The primary use is Data Management as a Service.
    Ranking
    Views
    902
    Comparisons
    755
    Reviews
    1
    Average Words per Review
    549
    Rating
    9.0
    Views
    1,710
    Comparisons
    1,084
    Reviews
    3
    Average Words per Review
    330
    Rating
    8.0
    Comparisons
    Learn More
    Overview

    Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security.

    Amazon Neptune is highly available, with read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across Availability Zones. Neptune is secure with support for HTTPS encrypted client connections and encryption at rest. Neptune is fully managed, so you no longer need to worry about database management tasks such as hardware provisioning, software patching, setup, configuration, or backups.

    Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.

    Offer
    Learn more about Amazon Neptune
    Learn more about Google Cloud Bigtable
    Sample Customers
    Intuit, Pearson, Samsung, Ignition One, Lifeomic, Blackfynn, Paysense
    Cognite, Dow Jones, Loblaw Digital
    Top Industries
    VISITORS READING REVIEWS
    Media Company22%
    Computer Software Company16%
    Financial Services Firm11%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Comms Service Provider19%
    Computer Software Company16%
    Financial Services Firm9%
    Retailer7%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise8%
    Large Enterprise75%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise16%
    Large Enterprise64%
    Buyer's Guide
    Google Cloud Bigtable vs. Microsoft Azure Cosmos DB
    September 2022
    Find out what your peers are saying about Google Cloud Bigtable vs. Microsoft Azure Cosmos DB and other solutions. Updated: September 2022.
    634,550 professionals have used our research since 2012.

    Amazon Neptune is ranked 5th in Managed NoSQL Databases with 1 review while Google Cloud Bigtable is ranked 3rd in Managed NoSQL Databases with 3 reviews. Amazon Neptune is rated 9.0, while Google Cloud Bigtable is rated 8.0. The top reviewer of Amazon Neptune writes "Useful pattern identification, price well, and straightforward implementation". On the other hand, the top reviewer of Google Cloud Bigtable writes "It's faster than other solutions on the market". Amazon Neptune is most compared with Amazon DynamoDB, Microsoft Azure Cosmos DB, Amazon Timestream and Amazon DocumentDB, whereas Google Cloud Bigtable is most compared with Amazon DynamoDB, Microsoft Azure Cosmos DB and Amazon Timestream.

    See our list of best Managed NoSQL Databases vendors.

    We monitor all Managed NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.