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DBMS > Amazon DynamoDB vs. Apache Impala vs. Atos Standard Common Repository vs. Machbase Neo vs. Microsoft Azure AI Search

System Properties Comparison Amazon DynamoDB vs. Apache Impala vs. Atos Standard Common Repository vs. Machbase Neo vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksTimeSeries DBMS for AIoT and BigDataSearch-as-a-service for web and mobile app development
Primary database modelDocument store
Key-value store
Relational DBMSDocument store
Key-value store
Time Series DBMSSearch engine
Secondary database modelsDocument storeVector 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
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websiteaws.amazon.com/­dynamodbimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorymachbase.comazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.aws.amazon.com/­dynamodbimpala.apache.org/­impala-docs.htmlmachbase.com/­dbmslearn.microsoft.com/­en-us/­azure/­search
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsMachbaseMicrosoft
Initial release20122013201620132015
Current release4.1.0, June 20221703V8.0, August 2023V1
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2commercialcommercial infofree test version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC
Server operating systemshostedLinuxLinuxLinux
macOS
Windows
hosted
Data schemeschema-freeyesSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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.noyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query languageno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
LDAPgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBCAll languages with LDAP bindingsC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenonono
Triggersyes infoby integration with AWS Lambdanoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infocell divisionShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesselectable replication factoryes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonononono
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 regionnoAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infovolatile and lookup tableno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationsimple password-based access controlyes infousing Azure authentication

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More resources
Amazon DynamoDBApache ImpalaAtos Standard Common RepositoryMachbase Neo infoFormer name was InfinifluxMicrosoft Azure AI Search
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