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DBMS > Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. Blazegraph vs. Cachelot.io vs. H2

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. Blazegraph vs. Cachelot.io vs. H2

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonBlazegraph  Xexclude from comparisonCachelot.io  Xexclude from comparisonH2  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.In-memory caching systemFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument storeGraph DBMS
RDF store
Key-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#203  Overall
#96  Relational DBMS
Score1.91
Rank#124  Overall
#22  Document stores
Score0.74
Rank#217  Overall
#19  Graph DBMS
#8  RDF stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Score7.57
Rank#47  Overall
#30  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­documentdbblazegraph.comcachelot.iowww.h2database.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeaws.amazon.com/­documentdb/­resourceswiki.blazegraph.comwww.h2database.com/­html/­main.html
DeveloperAlibabaBlazegraphThomas Mueller
Initial release20162019200620152005
Current release2.1.5, March 20192.2.220, July 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoextended commercial license availableOpen Source infoSimplified BSD LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemshostedhostedLinux
OS X
Windows
FreeBSD
Linux
OS X
All OS with a Java VM
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infoRDF literal typesnoyes
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.nononono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSQL-like query languagenoSPARQL is used as query languagenoyes
APIs and other access methodsFluentd
Flume
MaxCompute Console
proprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Memcached protocolJDBC
ODBC
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresuser defined functions infoin JavanoyesnoJava Stored Procedures and User-Defined Functions
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesnoneWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in Graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.nonoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesSecurity and Authentication via Web Application Container (Tomcat, Jetty)nofine grained access rights according to SQL-standard

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More resources
Alibaba Cloud MaxComputeAmazon DocumentDBBlazegraphCachelot.ioH2
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