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DBMS > Alibaba Cloud MaxCompute vs. Amazon Neptune vs. BigchainDB vs. Lovefield vs. TimesTen

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon Neptune vs. BigchainDB vs. Lovefield vs. TimesTen

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonBigchainDB  Xexclude from comparisonLovefield  Xexclude from comparisonTimesTen  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 cloudBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsEmbeddable relational database for web apps written in pure JavaScriptIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesGraph DBMS
RDF store
Document storeRelational DBMSRelational DBMS
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
Score0.79
Rank#212  Overall
#36  Document stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­neptunewww.bigchaindb.comgoogle.github.io/­lovefieldwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeaws.amazon.com/­neptune/­developer-resourcesbigchaindb.readthedocs.io/­en/­latestgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.oracle.com/­database/­timesten-18.1
DeveloperAlibabaAmazonGoogleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20162017201620141998
Current release2.1.12, February 201711 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL v3Open Source infoApache 2.0commercial
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 languagePythonJavaScript
Server operating systemshostedhostedLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nonononono
Secondary indexesnonoyesyes
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsFluentd
Flume
MaxCompute Console
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
CLI Client
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesJavaC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
JavaScriptC
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functions infoin JavanonoPL/SQL
TriggersnonoUsing read-only observersno
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 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 factornoneMulti-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 ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyes,with MongoDB ord RethinkDByes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByes
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)yesnofine grained access rights according to SQL-standard

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More resources
Alibaba Cloud MaxComputeAmazon NeptuneBigchainDBLovefieldTimesTen
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