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 > Google BigQuery vs. Microsoft Azure Cosmos DB vs. Riak TS vs. SAP HANA

System Properties Comparison Google BigQuery vs. Microsoft Azure Cosmos DB vs. Riak TS vs. SAP HANA

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonRiak TS  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesGlobally distributed, horizontally scalable, multi-model database serviceRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Websitecloud.google.com/­bigqueryazure.microsoft.com/­services/­cosmos-dbwww.sap.com/­products/­hana.html
Technical documentationcloud.google.com/­bigquery/­docslearn.microsoft.com/­azure/­cosmos-dbwww.tiot.jp/­riak-docs/­riak/­ts/­latesthelp.sap.com/­hana
DeveloperGoogleMicrosoftOpen Source, formerly Basho TechnologiesSAP
Initial release2010201420152010
Current release3.0.0, September 20222.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlang
Server operating systemshostedhostedLinux
OS X
Appliance or cloud-service
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON typesnoyes
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.nonono
Secondary indexesnoyes infoAll properties auto-indexed by defaultrestrictedyes
SQL infoSupport of SQLyesSQL-like query languageyes, limitedyes
APIs and other access methodsRESTful HTTP/JSON APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
HTTP API
Native Erlang Interface
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptJavaScriptErlangSQLScript, R
TriggersnoJavaScriptyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataMulti-item ACID transactions with snapshot isolation within a partitionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights can be defined down to the item levelnoyes

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
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more
CData: Connect to Big Data & NoSQL through standard Drivers.
» more
CData: Connect to Big Data & NoSQL through standard Drivers.
» more

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

More resources
Google BigQueryMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRiak TSSAP HANA
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

Snowflake is the DBMS of the Year 2022, defending the title from last year
3 January 2023, Matthias Gelbmann, Paul Andlinger

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

show all

Recent citations in the news

Winning the 2020 Google Cloud Technology Partner of the Year – Infrastructure Modernization Award
22 December 2021, CIO

Google Cloud partners Coinbase to accept crypto payments
11 October 2022, Ledger Insights

Hightouch Raises $38M in Funding
19 July 2023, FinSMEs

provided by Google News

Start your AI journey with Microsoft Azure Cosmos DB—compete for $10K
9 May 2024, azure.microsoft.com

Public Preview: DiskANN vector indexing and search in Azure Cosmos DB NoSQL | Azure updates
21 May 2024, azure.microsoft.com

Public Preview: vCore-based Azure Cosmos DB for MongoDB cross-region disaster recovery (DR) | Azure updates
21 May 2024, azure.microsoft.com

Building Planet-Scale .NET Apps with Azure Cosmos DB
4 June 2024, Visual Studio Magazine

Public preview: Change partition key of a container in Azure Cosmos DB (NoSQL API) | Azure updates
27 March 2024, azure.microsoft.com

provided by Google News

New Basho Data Platform Provides Operational Simplicity for Enterprise Big Data Applications
7 June 2015, insideBIGDATA

provided by Google News

Combine the Power of AI with Business Context Using SAP HANA Cloud Vector Engine
2 April 2024, SAP News

SAP customers may struggle to escape ECC before support shutters if they don't start now
12 June 2024, The Register

Accenture and SAP Accelerate Business Transformation with AI
14 June 2024, InsideSAP

5 New Google Cloud-SAP Products Launched At Sapphire For AI, HANA And Cloud
4 June 2024, CRN

Automating the update process of a clustered SAP HANA DB using nZDT and Ansible | Amazon Web Services
16 November 2023, AWS Blog

provided by Google News



Share this page

Featured Products

Neo4j logo

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

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here