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DBMS > Google Cloud Bigtable vs. GridGain vs. Microsoft Azure Cosmos DB vs. Oracle vs. SAP Advantage Database Server

System Properties Comparison Google Cloud Bigtable vs. GridGain vs. Microsoft Azure Cosmos DB vs. Oracle vs. SAP Advantage Database Server

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonOracle  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparison
SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.GridGain is an in-memory computing platform, built on Apache IgniteGlobally distributed, horizontally scalable, multi-model database serviceWidely used RDBMSLow-cost RDBMS with access to ISAM and FoxPro data structures
Primary database modelKey-value store
Wide column store
Key-value store
Relational DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Websitecloud.google.com/­bigtablewww.gridgain.comazure.microsoft.com/­services/­cosmos-dbwww.oracle.com/­databasewww.sap.com/products/advantage-database-server.html
Technical documentationcloud.google.com/­bigtable/­docswww.gridgain.com/­docs/­index.htmllearn.microsoft.com/­azure/­cosmos-dbdocs.oracle.com/­en/­database
DeveloperGoogleGridGain Systems, Inc.MicrosoftOracleSybase, SAP
Initial release20152007201419801993
Current releaseGridGain 8.5.123c, September 2023
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC and C++
Server operating systemshostedLinux
OS X
Solaris
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
Windows
Data schemeschema-freeyesschema-freeyes infoSchemaless in JSON and XML columnsyes
Typing infopredefined data types such as float or datenoyesyes infoJSON typesyesyes
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.noyesyesno
Secondary indexesnoyesyes infoAll properties auto-indexed by defaultyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query languageyes infowith proprietary extensionsyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Delphi
Perl
PHP
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)JavaScriptPL/SQL infoalso stored procedures in Java possibleyes
Triggersnoyes (cache interceptors and events)JavaScriptyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioningnone
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 infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
Multi-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)with Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDMulti-item ACID transactions with snapshot isolation within a partitionACID infoisolation level can be parameterizedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'no infocaching of (temporary) tables can be configured
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Security Hooks for custom implementationsAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Google Cloud BigtableGridGainMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBOracleSAP Advantage Database Server infoformer name: Sybase ADS
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