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DBMS > Amazon DocumentDB vs. Google Cloud Datastore vs. GridGain vs. Oracle Rdb vs. VelocityDB

System Properties Comparison Amazon DocumentDB vs. Google Cloud Datastore vs. GridGain vs. Oracle Rdb vs. VelocityDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonGridGain  Xexclude from comparisonOracle Rdb  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformGridGain is an in-memory computing platform, built on Apache IgniteA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument storeDocument storeColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#124  Overall
#22  Document stores
Score3.98
Rank#70  Overall
#12  Document stores
Score1.42
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score1.02
Rank#180  Overall
#82  Relational DBMS
Score0.00
Rank#386  Overall
#40  Graph DBMS
#20  Object oriented DBMS
Websiteaws.amazon.com/­documentdbcloud.google.com/­datastorewww.gridgain.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlvelocitydb.com
Technical documentationaws.amazon.com/­documentdb/­resourcescloud.google.com/­datastore/­docswww.gridgain.com/­docs/­index.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlvelocitydb.com/­UserGuide
DeveloperGoogleGridGain Systems, Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)VelocityDB Inc
Initial release20192008200719842011
Current releaseGridGain 8.5.17.4.1.1, 20217.x
License infoCommercial or Open Sourcecommercialcommercialcommercial, open sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net, Python, REST, SQLC#
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
z/OS
HP Open VMSAny that supports .NET
Data schemeschema-freeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes
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.nonoyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)ANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.Net
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Server-side scripts infoStored proceduresnousing Google App Engineyes (compute grid and cache interceptors can be used instead)no
TriggersnoCallbacks using the Google Apps Engineyes (cache interceptors and events)Callbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication using Paxosyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infousing Google Cloud Dataflowyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infovia ReferenceProperties or Ancestor pathsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDyes, on a single nodeACID
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.noyesnoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control
Security Hooks for custom implementations
Based on Windows Authentication

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More resources
Amazon DocumentDBGoogle Cloud DatastoreGridGainOracle RdbVelocityDB
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