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DBMS > Amazon DynamoDB vs. GeoSpock vs. Google Cloud Spanner

System Properties Comparison Amazon DynamoDB vs. GeoSpock vs. Google Cloud Spanner

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudSpatial and temporal data processing engine for extreme data scaleA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score79.30
Rank#15  Overall
#3  Document stores
#2  Key-value stores
Score2.56
Rank#97  Overall
#50  Relational DBMS
Websiteaws.amazon.com/­dynamodbgeospock.comcloud.google.com/­spanner
Technical documentationdocs.aws.amazon.com/­dynamodbcloud.google.com/­spanner/­docs
DeveloperAmazonGeoSpockGoogle
Initial release20122017
Current release2.0, September 2019
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, Javascript
Server operating systemshostedhostedhosted
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyestemporal, categoricalyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yes infoQuery statements complying to ANSI 2011
APIs and other access methodsRESTful HTTP APIJDBCgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono
Triggersyes infoby integration with AWS Lambdanono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication with 3 replicas for regional instances.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrity
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionnoACID infoStrict serializable isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Amazon DynamoDBGeoSpockGoogle Cloud Spanner
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Recent citations in the news

Ingest CSV data to Amazon DynamoDB using AWS Lambda
12 May 2025, Amazon Web Services

Announcing the end of support for AWS DynamoDB Session State Provider
7 May 2025, Amazon Web Services

Announcing configurable point-in-time recovery periods for Amazon DynamoDB
7 January 2025, Amazon Web Services

Amazon DynamoDB re:Invent 2024 recap
19 December 2024, Amazon Web Services

New Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse | Amazon Web Services
3 December 2024, Amazon Web Services

provided by Google News

GeoSpock and X-Locations Collaborate to Deliver Next Generation Location Data Analysis in Japan
25 March 2019, Business Wire

GeoSpock launches Spatial Big Data Platform 2.0
4 September 2019, vanillaplus.com

GeoSpock Confirms Commitment to Japanese Market with New Office Opening in Tokyo, Japan
3 October 2019, Geospatial World

GeoSpock’s extreme-scale data mission in $5.4m funding boost
8 October 2020, Cambridge Independent

Big data processing techniques to streamline analytics
5 October 2018, TechTarget

provided by Google News

Google Cloud Introduces HDD Tier for Spanner Database, Cutting Cold Storage Costs by 80%
22 March 2025, infoq.com

New features make Google's Spanner a database for AI
1 August 2024, TechTarget

Google Cloud adds graph and vector search features to Spanner database
2 August 2024, techzine.eu

Google Cloud adds graph processing to Spanner, SQL support to Bigtable
1 August 2024, InfoWorld

Google’s Plan to Make GCP ‘The Best Cloud for Machine Learning’
5 May 2025, SDx Central

provided by Google News



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