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DBMS > Amazon DocumentDB vs. Dolt vs. GridGain vs. Ingres vs. Yaacomo

System Properties Comparison Amazon DocumentDB vs. Dolt vs. GridGain vs. Ingres vs. Yaacomo

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDolt  Xexclude from comparisonGridGain  Xexclude from comparisonIngres  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA MySQL compatible DBMS with Git-like versioning of data and schemaGridGain is an in-memory computing platform, built on Apache IgniteWell established RDBMSOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument storeRelational DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­dolthub/­dolt
www.dolthub.com
www.gridgain.comwww.actian.com/­databases/­ingresyaacomo.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.dolthub.comwww.gridgain.com/­docs/­index.htmldocs.actian.com/­ingres
DeveloperDoltHub IncGridGain Systems, Inc.Actian CorporationQ2WEB GmbH
Initial release2019201820071974 infooriginally developed at University Berkely in early 1970s2009
Current releaseGridGain 8.5.111.2, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, C++, .NetC
Server operating systemshostedLinux
macOS
Windows
Linux
OS X
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Android
Linux
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesANSI-99 for query and DML statements, subset of DDLyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)CLI Client
HTTP REST
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infocurrently in alpha releaseyes (compute grid and cache interceptors can be used instead)yes
Triggersnoyesyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yes (replicated cache)Ingres ReplicatorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
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.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesOnly one user is configurable, and must be specified in the config file at startupSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBDoltGridGainIngresYaacomo
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