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DBMS > Alibaba Cloud MaxCompute vs. Apache Druid vs. EXASOL vs. Google Cloud Spanner vs. SQream DB

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Druid vs. EXASOL vs. Google Cloud Spanner vs. SQream DB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Druid  Xexclude from comparisonEXASOL  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputedruid.apache.orgwww.exasol.comcloud.google.com/­spannersqream.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedruid.apache.org/­docs/­latest/­designwww.exasol.com/­resourcescloud.google.com/­spanner/­docsdocs.sqream.com
DeveloperAlibabaApache Software Foundation and contributorsExasolGoogleSQream Technologies
Initial release20162012200020172017
Current release29.0.1, April 20242022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinux
OS X
Unix
hostedLinux
Data schemeyesyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes, ANSI Standard SQL Types
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 indexesnoyesyesyesno
SQL infoSupport of SQLSQL-like query languageSQL for queryingyesyes infoQuery statements complying to ANSI 2011yes
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
RESTful HTTP/JSON API
.Net
JDBC
ODBC
WebSocket
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
.Net
JDBC
ODBC
Supported programming languagesJavaClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
Lua
Python
R
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javanouser defined functionsnouser defined functions in Python
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infomanual/auto, time-basedShardingShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, via HDFS, S3 or other storage enginesMulti-source replication with 3 replicas for regional instances.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoHadoop integrationyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoStrict serializable isolationACID
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.nonoyesno
User concepts infoAccess controlAccess 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 according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Alibaba Cloud MaxComputeApache DruidEXASOLGoogle Cloud SpannerSQream DB
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