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DBMS > Amazon DocumentDB vs. GridGain vs. IBM Db2 vs. Teradata Aster

System Properties Comparison Amazon DocumentDB vs. GridGain vs. IBM Db2 vs. Teradata Aster

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGridGain  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceGridGain is an in-memory computing platform, built on Apache IgniteCommon in IBM host environments, 2 different versions for host and Windows/LinuxPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument storeColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score123.05
Rank#9  Overall
#6  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.gridgain.comwww.ibm.com/­products/­db2
Technical documentationaws.amazon.com/­documentdb/­resourceswww.gridgain.com/­docs/­index.htmlwww.ibm.com/­docs/­en/­db2
DeveloperGridGain Systems, Inc.IBMTeradata
Initial release201920071983 infohost version2005
Current releaseGridGain 8.5.112.1, October 2016
License infoCommercial or Open Sourcecommercialcommercial, open sourcecommercial infofree version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .Net, Python, REST, SQLC and C++
Server operating systemshostedLinux
OS X
Solaris
Windows
z/OS
AIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
Data schemeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesyes infoin Aster File Store
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yesR packages
Triggersnoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoonly with Windows/Unix/Linux VersionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes (replicated cache)yes infowith separate tools (MQ, InfoSphere)yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACID
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.yesno
User concepts infoAccess controlAccess rights for users and rolesRole-based access control
Security Hooks for custom implementations
fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBGridGainIBM Db2 infoformerly named DB2 or IBM Database 2Teradata Aster
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