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DBMS > Alibaba Cloud MaxCompute vs. Apache Druid vs. TerarkDB vs. Tkrzw vs. Trino

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Druid vs. TerarkDB vs. Tkrzw vs. Trino

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Druid  Xexclude from comparisonTerarkDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonTrino  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 dataA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMS
Time Series DBMS
Key-value storeKey-value storeRelational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#203  Overall
#96  Relational DBMS
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Score5.28
Rank#61  Overall
#35  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputedruid.apache.orggithub.com/­bytedance/­terarkdbdbmx.net/­tkrzwtrino.io
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedruid.apache.org/­docs/­latest/­designbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKctrino.io/­broadcast
trino.io/­docs/­current
DeveloperAlibabaApache Software Foundation and contributorsByteDance, originally TerarkMikio HirabayashiTrino Software Foundation
Initial release20162012201620202012 info2020 rebranded from PrestoSQL
Current release30.0.0, June 20240.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercial inforestricted open source version availableOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++Java
Server operating systemshostedLinux
OS X
Unix
Linux
macOS
Linux
macOS infofor devlopment
Data schemeyesyes infoschema-less columns are supportedschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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 indexesnoyesnodepending on connected data-source
SQL infoSupport of SQLSQL-like query languageSQL for queryingnonoyes
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
RESTful HTTP/JSON API
C++ API
Java API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesJavaClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Java
C++
Java
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Javanononoyes, depending on connected data-source
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infomanual/auto, time-basednonenonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, via HDFS, S3 or other storage enginesnonenonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnonoSQL standard access control
More information provided by the system vendor
Alibaba Cloud MaxComputeApache DruidTerarkDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTrino
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Alibaba Cloud MaxComputeApache DruidTerarkDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTrino
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