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DBMS > Alibaba Cloud MaxCompute vs. Apache Phoenix vs. Brytlyt vs. IRONdb

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Phoenix vs. Brytlyt vs. IRONdb

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Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Phoenix  Xexclude from comparisonBrytlyt  Xexclude from comparisonIRONdb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is 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 warehousingA scale-out RDBMS with evolutionary schema built on Apache HBaseScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#203  Overall
#96  Relational DBMS
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.27
Rank#292  Overall
#132  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputephoenix.apache.orgbrytlyt.iowww.circonus.com/solutions/time-series-database/
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputephoenix.apache.orgdocs.brytlyt.iodocs.circonus.com/irondb/category/getting-started
DeveloperAlibabaApache Software FoundationBrytlytCirconus LLC.
Initial release2016201420162017
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20195.0, August 2023V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDAC and C++
Server operating systemshostedLinux
Unix
Windows
Linux
OS X
Windows
Linux
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infotext, numeric, histograms
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesyesno
SQL infoSupport of SQLSQL-like query languageyesyesSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesJavaC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Javauser defined functionsuser defined functions infoin PL/pgSQLyes, in Lua
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
Source-replica replicationconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardno

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More resources
Alibaba Cloud MaxComputeApache PhoenixBrytlytIRONdb
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