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DBMS > Alibaba Cloud MaxCompute vs. Apache Doris vs. Blueflood vs. Google Cloud Bigtable vs. KeyDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Doris vs. Blueflood vs. Google Cloud Bigtable vs. KeyDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Doris  Xexclude from comparisonBlueflood  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingAn MPP-based analytics DBMS embracing the MySQL protocolScalable TimeSeries DBMS based on CassandraGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSTime Series DBMSKey-value store
Wide column store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Websitewww.alibabacloud.com/­product/­maxcomputedoris.apache.org
github.com/­apache/­doris
blueflood.iocloud.google.com/­bigtablegithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputegithub.com/­apache/­doris/­wikigithub.com/­rax-maas/­blueflood/­wikicloud.google.com/­bigtable/­docsdocs.keydb.dev
DeveloperAlibabaApache Software Foundation, originally contributed from BaiduRackspaceGoogleEQ Alpha Technology Ltd.
Initial release20162017201320152019
Current release1.2.2, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoBSD-3
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 languageJavaJavaC++
Server operating systemshostedLinuxLinux
OS X
hostedLinux
Data schemeyesyespredefined schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 indexesnoyesnonoyes infoby using the Redis Search module
SQL infoSupport of SQLSQL-like query languageyesnonono
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
MySQL client
HTTP RESTgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesJavaJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin Javauser defined functionsnonoLua
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneselectable replication factor infobased on CassandraInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic single-row operationsOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonononoyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access control and ACL

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More resources
Alibaba Cloud MaxComputeApache DorisBluefloodGoogle Cloud BigtableKeyDB
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