DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon CloudSearch vs. Google Cloud Spanner

System Properties Comparison Amazon CloudSearch vs. Google Cloud Spanner

Please select another system to include it in the comparison.

Our visitors often compare Amazon CloudSearch and Google Cloud Spanner with Microsoft Azure Cosmos DB, Google Cloud Datastore and Elasticsearch.

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA 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 modelSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.50
Rank#97  Overall
#10  Search engines
Score1.69
Rank#112  Overall
#56  Relational DBMS
Websiteaws.amazon.com/­cloudsearchcloud.google.com/­spanner
Technical documentationdocs.aws.amazon.com/­cloudsearchcloud.google.com/­spanner/­docs
DeveloperAmazonGoogle
Initial release20122017
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 schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyes infoall search fields are automatically indexedyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011
APIs and other access methodsHTTP APIgRPC (using protocol buffers) API
RESTful HTTP API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMaster-Master replication with 3 replicas for regional instances.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes 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 datanoACID infoStrict serializable isolation
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlauthentication via encrypted signaturesAccess 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 CloudSearchGoogle Cloud Spanner
DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Recent citations in the news

Enterprise Semantic Search Software Market 2019- 2025 | SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene and Attivio
17 September 2019, Technology News

Enterprise Search Software Market Projected to Witness Vigorous Expansion by 2019-2027 with Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems, Amazon CloudSearch, Coveo, FishEye, and Inbenta
17 September 2019, Market Expert

Uk Enterprise Semantic Search Software Market Analysis and Growth 2026 | SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene, Attivio
6 September 2019, Market Expert

Enterprise Search Software Market to Perceive Substantial Growth During 2018 to 2027 | Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems, Amazon CloudSearch, Coveo, FishEye, and Inbenta
3 September 2019, Technology News

Enterprise Semantic Search Software Market 2019 Trends, Outlook Analysis, Segmentation By Mode of Delivery and End-Users to 2024 – All
10 September 2019, All Times Tech

provided by Google News

Top 6 Google cloud certification programs
11 September 2019, TechTarget

Google’s Cloud Spanner database adds new features and regions
19 December 2018, TechCrunch

Striim Launches PaaS Solution for Real-Time Data Integration to Google Cloud Spanner
2 April 2019, PRNewswire

Google Updates Cloud Spanner: Query Introspection, New Regions, and New Multi-Region Configurations
31 December 2018, InfoQ.com

Spanning The Database World With Google
15 January 2019, The Next Platform

provided by Google News

Job opportunities

Cloud Support Associate - Analytics
Amazon Web Services, Inc., Portland, OR

Software Engineer I
Transcat, Rochester, NY

Cloud Support Associate / Cloud Support Engineer
Amazon Web Services, Inc., Dallas, TX

QA Lead
jane.com, Lehi, UT

Software Engineer 2
Intuit, Mountain View, CA

Technical Curriculum Developer, Data Engineering, Google Cloud
Google, Mountain View, CA

Technical Curriculum Developer, Data Engineering, Google Cloud
Google, New York, NY

Technical Curriculum Developer, Data Engineering, Google Cloud
Google, Cambridge, MA

Technical Curriculum Developer, Data Engineering, Google Cloud
Google, Boulder, CO

Technical Curriculum Developer, Data Engineering, Google Cloud
Google, Seattle, WA

jobs by Indeed




Share this page

Featured Products

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

Present your product here