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DBMS > Alibaba Cloud MaxCompute vs. EJDB vs. Hawkular Metrics vs. Microsoft Azure AI Search vs. Vitess

System Properties Comparison Alibaba Cloud MaxCompute vs. EJDB vs. Hawkular Metrics vs. Microsoft Azure AI Search vs. Vitess

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonEJDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Search-as-a-service for web and mobile app developmentScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument storeTime Series DBMSSearch engineRelational DBMS
Secondary database modelsVector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputegithub.com/­Softmotions/­ejdbwww.hawkular.orgazure.microsoft.com/­en-us/­services/­searchvitess.io
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputegithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.hawkular.org/­hawkular-metrics/­docs/­user-guidelearn.microsoft.com/­en-us/­azure/­searchvitess.io/­docs
DeveloperAlibabaSoftmotionsCommunity supported by Red HatMicrosoftThe Linux Foundation, PlanetScale
Initial release20162012201420152013
Current releaseV115.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoApache 2.0commercialOpen 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 languageCJavaGo
Server operating systemshostedserver-lessLinux
OS X
Windows
hostedDocker
Linux
macOS
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesyes
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.nonono
Secondary indexesnononoyesyes
SQL infoSupport of SQLSQL-like query languagenononoyes infowith proprietary extensions
APIs and other access methodsFluentd
Flume
MaxCompute Console
in-process shared libraryHTTP RESTRESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJavaActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
Python
Ruby
C#
Java
JavaScript
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 proceduresuser defined functions infoin Javanononoyes infoproprietary syntax
Triggersnonoyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneSharding infobased on CassandraSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneselectable replication factor infobased on Cassandrayes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes 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.nononoyes
User concepts infoAccess controlAccess rights for users and rolesnonoyes infousing Azure authenticationUsers with fine-grained authorization concept infono user groups or roles

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More resources
Alibaba Cloud MaxComputeEJDBHawkular MetricsMicrosoft Azure AI SearchVitess
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