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DBMS > Alibaba Cloud MaxCompute vs. Amazon CloudSearch vs. Apache Druid vs. Google Cloud Bigtable vs. OrigoDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon CloudSearch vs. Apache Druid vs. Google Cloud Bigtable vs. OrigoDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonApache Druid  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingA hosted search engine service by Amazon with the data stored in Amazons cloudOpen-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.A fully ACID in-memory object graph database
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesSearch engineRelational DBMS
Time Series DBMS
Key-value store
Wide column store
Document store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score1.81
Rank#137  Overall
#12  Search engines
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­cloudsearchdruid.apache.orgcloud.google.com/­bigtableorigodb.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.aws.amazon.com/­cloudsearchdruid.apache.org/­docs/­latest/­designcloud.google.com/­bigtable/­docsorigodb.com/­docs
DeveloperAlibabaAmazonApache Software Foundation and contributorsGoogleRobert Friberg et al
Initial release20162012201220152009 infounder the name LiveDB
Current release29.0.1, April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache license v2commercialOpen Source
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 languageJavaC#
Server operating systemshostedhostedLinux
OS X
Unix
hostedLinux
Windows
Data schemeyesyesyes infoschema-less columns are supportedschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesnoyes infoall search fields are automatically indexedyesnoyes
SQL infoSupport of SQLSQL-like query languagenoSQL for queryingnono
APIs and other access methodsFluentd
Flume
MaxCompute Console
HTTP APIJDBC
RESTful HTTP/JSON API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
HTTP API
LINQ
Supported programming languagesJavaClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresuser defined functions infoin Javanononoyes
Triggersnonononoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infomanual/auto, time-basedShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infomanaged transparently by AWSyes, via HDFS, S3 or other storage enginesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynonononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
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 rolesauthentication via encrypted signaturesRBAC 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)Role based authorization

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More resources
Alibaba Cloud MaxComputeAmazon CloudSearchApache DruidGoogle Cloud BigtableOrigoDB
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