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

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

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Druid  Xexclude from comparisonSQLite  Xexclude from comparisonTerarkDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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 dataWidely used embeddable, in-process RDBMSA 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 Cabinet
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeKey-value 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
Score103.35
Rank#10  Overall
#7  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitewww.alibabacloud.com/­product/­maxcomputedruid.apache.orgwww.sqlite.orggithub.com/­bytedance/­terarkdbdbmx.net/­tkrzw
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedruid.apache.org/­docs/­latest/­designwww.sqlite.org/­docs.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAlibabaApache Software Foundation and contributorsDwayne Richard HippByteDance, originally TerarkMikio Hirabayashi
Initial release20162012200020162020
Current release30.0.0, June 20243.46.1  (13 August 2024), August 20240.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoPublic Domaincommercial inforestricted open source version availableOpen 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 languageJavaCC++C++
Server operating systemshostedLinux
OS X
Unix
server-lessLinux
macOS
Data schemeyesyes infoschema-less columns are supportedyes infodynamic column typesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.nono
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 indexesnoyesyesno
SQL infoSupport of SQLSQL-like query languageSQL for queryingyes infoSQL-92 is not fully supportednono
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
RESTful HTTP/JSON API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
C++ API
Java API
Supported programming languagesJavaClojure
JavaScript
PHP
Python
R
Ruby
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Javanononono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infomanual/auto, time-basednonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, via HDFS, S3 or other storage enginesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyesyes
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.nonoyesyesyes 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 systemnonono

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More resources
Alibaba Cloud MaxComputeApache DruidSQLiteTerarkDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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