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DBMS > Alibaba Cloud MaxCompute vs. Alibaba Cloud PolarDB vs. Amazon Neptune vs. BigchainDB vs. Google Cloud Bigtable

System Properties Comparison Alibaba Cloud MaxCompute vs. Alibaba Cloud PolarDB vs. Amazon Neptune vs. BigchainDB vs. Google Cloud Bigtable

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAlibaba Cloud PolarDB  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonBigchainDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.Fast, reliable graph database built for the cloudBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSGraph DBMS
RDF store
Document storeKey-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.59
Rank#241  Overall
#110  Relational DBMS
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.79
Rank#212  Overall
#36  Document stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Websitewww.alibabacloud.com/­product/­maxcomputewww.alibabacloud.com/­product/­polardbaws.amazon.com/­neptunewww.bigchaindb.comcloud.google.com/­bigtable
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputewww.alibabacloud.com/­help/­en/­polardb/­product-overviewaws.amazon.com/­neptune/­developer-resourcesbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­bigtable/­docs
DeveloperAlibabaAlibabaAmazonGoogle
Initial release2016201720162015
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoAGPL v3commercial
Cloud-based only infoOnly available as a cloud serviceyesyesyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePython
Server operating systemshostedhostedhostedLinuxhosted
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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.noyesnonono
Secondary indexesnoyesnono
SQL infoSupport of SQLSQL-like query languageyesnonono
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
ODBC
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
CLI Client
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesJavaJava
Python
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javayesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud servicenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes 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 factorInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith encyption-at-restyes,with MongoDB ord RethinkDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
More information provided by the system vendor
Alibaba Cloud MaxComputeAlibaba Cloud PolarDBAmazon NeptuneBigchainDBGoogle Cloud Bigtable
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Alibaba Cloud MaxComputeAlibaba Cloud PolarDBAmazon NeptuneBigchainDBGoogle Cloud Bigtable
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