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DBMS > Alibaba Cloud MaxCompute vs. Apache Druid vs. EXASOL vs. GeoSpock vs. Google Cloud Bigtable

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Druid vs. EXASOL vs. GeoSpock vs. Google Cloud Bigtable

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Druid  Xexclude from comparisonEXASOL  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
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.Spatial and temporal data processing engine for extreme data scaleGoogle'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 DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value store
Wide column store
Secondary database modelsTime Series 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
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Websitewww.alibabacloud.com/­product/­maxcomputedruid.apache.orgwww.exasol.comgeospock.comcloud.google.com/­bigtable
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedruid.apache.org/­docs/­latest/­designwww.exasol.com/­resourcescloud.google.com/­bigtable/­docs
DeveloperAlibabaApache Software Foundation and contributorsExasolGeoSpockGoogle
Initial release2016201220002015
Current release29.0.1, April 20242.0, September 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, Javascript
Server operating systemshostedLinux
OS X
Unix
hostedhosted
Data schemeyesyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesnoyesyestemporal, categoricalno
SQL infoSupport of SQLSQL-like query languageSQL for queryingyesANSI SQL for query only (using Presto)no
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
RESTful HTTP/JSON API
.Net
JDBC
ODBC
WebSocket
JDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesJavaClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
Lua
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javanouser defined functionsnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infomanual/auto, time-basedShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, via HDFS, S3 or other storage enginesInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoHadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoAtomic single-row 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.nonoyesnono
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 can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Alibaba Cloud MaxComputeApache DruidEXASOLGeoSpockGoogle Cloud Bigtable
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