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DBMS > Alibaba Cloud MaxCompute vs. Datastax Enterprise vs. Dgraph vs. Kinetica

System Properties Comparison Alibaba Cloud MaxCompute vs. Datastax Enterprise vs. Dgraph vs. Kinetica

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Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonDgraph  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Distributed and scalable native Graph DBMSFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesWide column storeGraph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#221  Overall
#102  Relational DBMS
Score6.31
Rank#57  Overall
#4  Wide column stores
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputewww.datastax.com/­products/­datastax-enterprisedgraph.iowww.kinetica.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.datastax.comdgraph.io/­docsdocs.kinetica.com
DeveloperAlibabaDataStaxDgraph Labs, Inc.Kinetica
Initial release2016201120162012
Current release6.8, April 20207.1, August 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaGoC, C++
Server operating systemshostedLinux
OS X
Linux
OS X
Windows
Linux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statements (CQL); Spark SQLnoSQL-like DML and DDL statements
APIs and other access methodsFluentd
Flume
MaxCompute Console
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javanonouser defined functions
Triggersnoyesnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infono "single point of failure"yesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceconfigurable replication factor, datacenter aware, advanced replication for edge computingSynchronous replication via RaftSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACIDno
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.noyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per objectno infoPlanned for future releasesAccess rights for users and roles on table level
More information provided by the system vendor
Alibaba Cloud MaxComputeDatastax EnterpriseDgraphKinetica
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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Alibaba Cloud MaxComputeDatastax EnterpriseDgraphKinetica
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