DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon Neptune vs. Google Cloud Bigtable

System Properties Comparison Amazon Neptune vs. Google Cloud Bigtable

Please select another system to include it in the comparison.

Our visitors often compare Amazon Neptune and Google Cloud Bigtable with Amazon DynamoDB, Microsoft Azure Cosmos DB and Microsoft Access.

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelGraph DBMS
RDF store
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.82
Rank#108  Overall
#6  Graph DBMS
#4  RDF stores
Score4.26
Rank#86  Overall
#14  Key-value stores
#6  Wide column stores
Websiteaws.amazon.com/­neptunecloud.google.com/­bigtable
Technical documentationaws.amazon.com/­neptune/­developer-resourcescloud.google.com/­bigtable/­docs
DeveloperAmazonGoogle
Initial release20172015
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedhosted
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesnono
SQL infoSupport of SQLnono
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon NeptuneGoogle Cloud Bigtable
Recent citations in the news

Amazon Neptune update: Machine learning, data science, and the future of graph databases
30 July 2021, ZDNet

Here’s how you can predict graphs accurately, quickly, and securely with Amazon Neptune
2 November 2021, YourStory

Time-series Databases, Graph Databases, Kafka
9 May 2022, Security Boulevard

Catching up with Amazon Neptune
26 November 2019, ZDNet

Why are graph databases beginning to take off? -
6 May 2022, Enterprise Times

provided by Google News

Google Needs Another Database To Attack Oracle, DB2, And SQL Server Directly
16 May 2022, The Next Platform

Google scales up Cloud Bigtable NoSQL database
27 January 2022, TechTarget

Google's Data Cloud Summit Serves Up Incremental New Capabilities
25 April 2022, Forbes

Automagically Moving Legacy Hadoop To The Cloud
16 May 2022, The Next Platform

Google Cloud Improves SLA for Bigtable and Adds New Security Features
19 June 2021, InfoQ.com

provided by Google News

Job opportunities

Front End Engineer: Amazon Neptune Workbench
Amazon Dev Center U.S., Inc., Seattle, WA

Principal Product Manager-Technical, Amazon Neptune
Amazon Dev Center U.S., Inc., Remote

Software Development Engineer, Graph Query Optimization (Amazon Neptune)
Amazon Dev Center U.S., Inc., Seattle, WA

Product Manager - Technical, Amazon Neptune
Amazon Dev Center U.S., Inc., Seattle, WA

Applied Scientist Graph Query Planning and Optimization, Amazon Neptune
Amazon Dev Center U.S., Inc., Seattle, WA

Data Warehouse Architect with Snowflake
Data Warehouse Architect, California City, CA

Data Engineer
American Eagle Outfitters, Pittsburgh, PA

Data Engineer
Hearst Media Services, New York, NY

Data Analyst Lead - Data Analyst 1
Capgemini, New York, NY

Machine Learning Engineer - US
MOLOCO, Redwood City, CA

jobs by Indeed



Share this page

Featured Products

The definitive guide for Cassandra

Imagine What You Could Do if Scalability Wasn‘t a Problem!
Download the Cassandra e-book for free!

Redis logo

The world’s most loved real‑time data platform.
Try free

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here