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DBMS > Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. Apache Druid vs. Google Cloud Bigtable vs. SwayDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. Apache Druid vs. Google Cloud Bigtable vs. SwayDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonApache Druid  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonSwayDB  Xexclude from comparison
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 serviceOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument storeRelational DBMS
Time Series DBMS
Key-value store
Wide column store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score1.91
Rank#132  Overall
#24  Document stores
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­documentdbdruid.apache.orgcloud.google.com/­bigtableswaydb.simer.au
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeaws.amazon.com/­documentdb/­resourcesdruid.apache.org/­docs/­latest/­designcloud.google.com/­bigtable/­docs
DeveloperAlibabaApache Software Foundation and contributorsGoogleSimer Plaha
Initial release20162019201220152018
Current release29.0.1, April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache license v2commercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScala
Server operating systemshostedhostedLinux
OS X
Unix
hosted
Data schemeyesschema-freeyes infoschema-less columns are supportedschema-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.nonononono
Secondary indexesnoyesyesnono
SQL infoSupport of SQLSQL-like query languagenoSQL for queryingnono
APIs and other access methodsFluentd
Flume
MaxCompute Console
proprietary protocol using JSON (MongoDB compatible)JDBC
RESTful HTTP/JSON API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
PHP
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Javanononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneSharding infomanual/auto, time-basedShardingnone
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 replicasyes, via HDFS, S3 or other storage enginesInternal replication in Colossus, and regional replication between two clusters in different zonesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
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)Immediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsnoAtomic single-row operationsAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
Alibaba Cloud MaxComputeAmazon DocumentDBApache DruidGoogle Cloud BigtableSwayDB
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