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DBMS > Alibaba Cloud MaxCompute vs. Heroic vs. InterSystems Caché vs. Kinetica vs. RavenDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Heroic vs. InterSystems Caché vs. Kinetica vs. RavenDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonHeroic  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonKinetica  Xexclude from comparisonRavenDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed 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 warehousingTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA multi-model DBMS and application serverFully vectorized database across both GPUs and CPUsOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSDocument store
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitewww.alibabacloud.com/­product/­maxcomputegithub.com/­spotify/­heroicwww.intersystems.com/­products/­cachewww.kinetica.comravendb.net
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputespotify.github.io/­heroicdocs.intersystems.comdocs.kinetica.comravendb.net/­docs
DeveloperAlibabaSpotifyInterSystemsKineticaHibernating Rhinos
Initial release20162014199720122010
Current release2018.1.4, May 20207.1, August 20215.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialOpen Source infoAGPL version 3, commercial license available
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 languageJavaC, C++C#
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freedepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyesno
Secondary indexesnoyes infovia Elasticsearchyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like DML and DDL statementsSQL-like query language (RQL)
APIs and other access methodsFluentd
Flume
MaxCompute Console
HQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesJavaC#
C++
Java
C++
Java
JavaScript (Node.js)
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Javanoyesuser defined functionsyes
Triggersnonoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesSource-replica replicationSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and rolesAccess rights for users and roles on table levelAuthorization levels configured per client per database

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More resources
Alibaba Cloud MaxComputeHeroicInterSystems CachéKineticaRavenDB
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