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DBMS > Alibaba Cloud MaxCompute vs. Amazon Neptune vs. Datomic vs. Hypertable vs. SAP SQL Anywhere

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon Neptune vs. Datomic vs. Hypertable vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonDatomic  Xexclude from comparisonHypertable  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingFast, reliable graph database built for the cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source BigTable implementation based on distributed file systems such as HadoopRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesGraph DBMS
RDF store
Relational DBMSWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#221  Overall
#102  Relational DBMS
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score4.57
Rank#78  Overall
#43  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­neptunewww.datomic.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeaws.amazon.com/­neptune/­developer-resourcesdocs.datomic.comhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperAlibabaAmazonCognitectHypertable Inc.SAP infoformerly Sybase
Initial release20162017201220091992
Current release1.0.6735, June 20230.9.8.11, March 201617, July 2015
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availablecommercial
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 languageJava, ClojureC++
Server operating systemshostedhostedAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nononoyes
Secondary indexesnonoyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL-like query languagenononoyes
APIs and other access methodsFluentd
Flume
MaxCompute Console
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIC++ API
Thrift
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesJavaC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Clojure
Java
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Javanoyes infoTransaction Functionsnoyes, in C/C++, Java, .Net or Perl
TriggersnonoBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonenone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.none infoBut extensive use of caching in the application peersselectable replication factor on file system levelSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nonofine grained access rights according to SQL-standard

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More resources
Alibaba Cloud MaxComputeAmazon NeptuneDatomicHypertableSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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