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DBMS > Alibaba Cloud MaxCompute vs. GigaSpaces vs. HarperDB vs. Hive vs. Prometheus

System Properties Comparison Alibaba Cloud MaxCompute vs. GigaSpaces vs. HarperDB vs. Hive vs. Prometheus

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHarperDB  Xexclude from comparisonHive  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.data warehouse software for querying and managing large distributed datasets, built on HadoopOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument store
Object oriented DBMS infoValues are user defined objects
Document storeRelational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitewww.alibabacloud.com/­product/­maxcomputewww.gigaspaces.comwww.harperdb.iohive.apache.orgprometheus.io
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.gigaspaces.com/­latest/­landing.htmldocs.harperdb.io/­docscwiki.apache.org/­confluence/­display/­Hive/­Homeprometheus.io/­docs
DeveloperAlibabaGigaspaces TechnologiesHarperDBApache Software Foundation infoinitially developed by Facebook
Initial release20162000201720122015
Current release15.5, September 20203.1, August 20213.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availablecommercial infofree community edition availableOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetNode.jsJavaGo
Server operating systemshostedLinux
macOS
Solaris
Windows
Linux
OS X
All OS with a Java VMLinux
Windows
Data schemeyesschema-freedynamic schemayesyes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyesNumeric data only
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.nono infoXML can be used for describing objects metadatanono infoImport of XML data possible
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLSQL-like query languageSQL-99 for query and DML statementsSQL-like data manipulation statementsSQL-like DML and DDL statementsno
APIs and other access methodsFluentd
Flume
MaxCompute Console
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Thrift
RESTful HTTP/JSON API
Supported programming languagesJava.Net
C++
Java
Python
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Java
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavayesCustom Functions infosince release 3.1yes infouser defined functions and integration of map-reduceno
Triggersnoyes, event driven architecturenonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingA table resides as a whole on one (or more) nodes in a clusterShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infothe nodes on which a table resides can be definedselectable replication factoryes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoMap-Reduce pattern can be built with XAP task executorsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlAccess rights for users and rolesAccess rights for users, groups and rolesno

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Alibaba Cloud MaxComputeGigaSpacesHarperDBHivePrometheus
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