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DBMS > Amazon DocumentDB vs. Dolt vs. GBase vs. Ignite vs. SQream DB

System Properties Comparison Amazon DocumentDB vs. Dolt vs. GBase vs. Ignite vs. SQream DB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDolt  Xexclude from comparisonGBase  Xexclude from comparisonIgnite  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA MySQL compatible DBMS with Git-like versioning of data and schemaWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.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.a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument storeRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­dolthub/­dolt
www.dolthub.com
www.gbase.cnignite.apache.orgsqream.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.dolthub.comapacheignite.readme.io/­docsdocs.sqream.com
DeveloperDoltHub IncGeneral Data Technology Co., Ltd.Apache Software FoundationSQream Technologies
Initial release20192018200420152017
Current releaseGBase 8a, GBase 8s, GBase 8cApache Ignite 2.62022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, Java, PythonC++, Java, .NetC++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinux
macOS
Windows
LinuxLinux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes, ANSI Standard SQL Types
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 indexesyesyesyesyesno
SQL infoSupport of SQLnoyesStandard with numerous extensionsANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)CLI Client
HTTP REST
ADO.NET
C API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.Net
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#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infocurrently in alpha releaseuser defined functionsyes (compute grid and cache interceptors can be used instead)user defined functions in Python
Triggersnoyesyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning (by range, list and hash) and vertical partitioningShardinghorizontal and vertical 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.yesyes (replicated cache)none
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)no
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 possibleyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACIDACID
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.yes
User concepts infoAccess controlAccess rights for users and rolesOnly one user is configurable, and must be specified in the config file at startupyesSecurity Hooks for custom implementations

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More resources
Amazon DocumentDBDoltGBaseIgniteSQream DB
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