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DBMS > Google Cloud Bigtable vs. gStore vs. Ignite vs. Microsoft Azure SQL Database

System Properties Comparison Google Cloud Bigtable vs. gStore vs. Ignite vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisongStore  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A native Graph DBMS to store and maintain very large RDF datasets.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Database as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelKey-value store
Wide column store
Graph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.14
Rank#342  Overall
#34  Graph DBMS
#16  RDF stores
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Websitecloud.google.com/­bigtableen.gstore.cnignite.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationcloud.google.com/­bigtable/­docsen.gstore.cn/­#/­enDocsapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperGoogleApache Software FoundationMicrosoft
Initial release2015201620152010
Current release1.2, November 2023Apache Ignite 2.6V12
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, Java, .NetC++
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
hosted
Data schemeschema-freeschema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nonoyesyes
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
SPARQL 1.1
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyes (compute grid and cache interceptors can be used instead)Transact SQL
Triggersnoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes (replicated cache)yes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsyesACIDACID
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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissions, Role-Based Access Control (RBAC) supportedSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
Google Cloud BigtablegStoreIgniteMicrosoft Azure SQL Database infoformerly SQL Azure
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