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DBMS > Alibaba Cloud MaxCompute vs. GeoMesa vs. HEAVY.AI vs. Kinetica vs. Raima Database Manager

System Properties Comparison Alibaba Cloud MaxCompute vs. GeoMesa vs. HEAVY.AI vs. Kinetica vs. Raima Database Manager

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonGeoMesa  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKinetica  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareFully vectorized database across both GPUs and CPUsRDBMS with a small footprint, either embedded into an application or used as a database server
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesSpatial DBMSRelational DBMSRelational DBMSRelational DBMS
Time Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#203  Overall
#96  Relational DBMS
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.40
Rank#268  Overall
#125  Relational DBMS
#21  Time Series DBMS
Websitewww.alibabacloud.com/­product/­maxcomputewww.geomesa.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.kinetica.comraima.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputewww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.heavy.aidocs.kinetica.comdocs.raima.com
DeveloperAlibabaCCRi and othersHEAVY.AI, Inc.KineticaRaima Inc.
Initial release20162014201620121984
Current release5.0.1, July 20245.10, January 20227.1, August 202115, June 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache Version 2; enterprise edition availablecommercialcommercial
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 languageScalaC++ and CUDAC, C++C
Server operating systemshostedLinuxLinuxAndroid
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoExporting/Importing of XML structures possible
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like DML and DDL statementsyes
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Objective-C
PL/SQL
Server-side scripts infoStored proceduresuser defined functions infoin Javanonouser defined functionsyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specification
Triggersnononoyes 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 servicedepending on storage layerSharding infoRound robinShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicedepending on storage layerMulti-source replicationSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.nodepending on storage layeryesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and rolesyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardAccess rights for users and roles on table levelno
More information provided by the system vendor
Alibaba Cloud MaxComputeGeoMesaHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KineticaRaima Database Manager infoformerly named db_Vista
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
» more
Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
» more
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More resources
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