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DBMS > Alibaba Cloud MaxCompute vs. Amazon Neptune vs. Apache Impala vs. SAP Adaptive Server vs. STSdb

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon Neptune vs. Apache Impala vs. SAP Adaptive Server vs. STSdb

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonApache Impala  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSTSdb  Xexclude from comparison
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 cloudAnalytic DBMS for HadoopThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesGraph DBMS
RDF store
Relational DBMSRelational DBMSKey-value store
Secondary database modelsDocument storeSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score36.31
Rank#25  Overall
#17  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­neptuneimpala.apache.orgwww.sap.com/­products/­technology-platform/­sybase-ase.htmlgithub.com/­STSSoft/­STSdb4
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeaws.amazon.com/­neptune/­developer-resourcesimpala.apache.org/­impala-docs.htmlhelp.sap.com/­docs/­SAP_ASE
DeveloperAlibabaAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaSAP, SybaseSTS Soft SC
Initial release20162017201319872011
Current release4.1.0, June 202216.04.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercialOpen Source infoGPLv2, commercial license available
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 languageC++C and C++C#
Server operating systemshostedhostedLinuxAIX
HP-UX
Linux
Solaris
Unix
Windows
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes infoprimitive types and user defined types (classes)
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 indexesnonoyesyesno
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statementsyesno
APIs and other access methodsFluentd
Flume
MaxCompute Console
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
.NET Client API
Supported programming languagesJavaC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCC
C++
Cobol
Java
Java
Perl
PHP
Python
C#
Java
Server-side scripts infoStored proceduresuser defined functions infoin Javanoyes infouser defined functions and integration of map-reduceJava and Transact-SQLno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardinghorizontal partitioningnone
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.selectable replication factorMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
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)Access rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardno

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More resources
Alibaba Cloud MaxComputeAmazon NeptuneApache ImpalaSAP Adaptive Server infoformer name: Sybase ASESTSdb
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