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DBMS > Amazon DynamoDB vs. Axibase vs. GigaSpaces vs. Microsoft Azure Cosmos DB vs. Vitess

System Properties Comparison Amazon DynamoDB vs. Axibase vs. GigaSpaces vs. Microsoft Azure Cosmos DB vs. Vitess

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonAxibase  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsGlobally distributed, horizontally scalable, multi-model database serviceScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store
Key-value store
Time Series DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websiteaws.amazon.com/­dynamodbaxibase.com/­docs/­atsd/­financewww.gigaspaces.comazure.microsoft.com/­services/­cosmos-dbvitess.io
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.gigaspaces.com/­latest/­landing.htmllearn.microsoft.com/­azure/­cosmos-dbvitess.io/­docs
DeveloperAmazonAxibase CorporationGigaspaces TechnologiesMicrosoftThe Linux Foundation, PlanetScale
Initial release20122013200020142013
Current release1558515.5, September 202015.0.2, December 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetGo
Server operating systemshostedLinuxLinux
macOS
Solaris
Windows
hostedDocker
Linux
macOS
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyesyes infoJSON typesyes
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.nono infoXML can be used for describing objects metadata
Secondary indexesyesnoyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnoSQL-like query languageSQL-99 for query and DML statementsSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIJDBC
Proprietary protocol (Network API)
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Java
PHP
Python
R
Ruby
.Net
C++
Java
Python
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesyesJavaScriptyes infoproprietary syntax
Triggersyes infoby integration with AWS Lambdayesyes, event driven architectureJavaScriptyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyes infoMap-Reduce pattern can be built with XAP task executorswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionnoACIDMulti-item ACID transactions with snapshot isolation within a partitionACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlAccess rights can be defined down to the item levelUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon DynamoDBAxibaseGigaSpacesMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBVitess
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