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DBMS > Alibaba Cloud Table Store vs. AllegroGraph vs. Datastax Enterprise

System Properties Comparison Alibaba Cloud Table Store vs. AllegroGraph vs. Datastax Enterprise

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAllegroGraph  Xexclude from comparisonDatastax Enterprise  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessHigh performance, persistent RDF store with additional support for Graph DBMSDataStax 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.
Primary database modelWide column storeDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Wide column store
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score5.80
Rank#60  Overall
#4  Wide column stores
Websitewww.alibabacloud.com/­product/­table-storeallegrograph.comwww.datastax.com/­products/­datastax-enterprise
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorefranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datastax.com
DeveloperAlibabaFranz Inc.DataStax
Initial release201620042011
Current release8.0, December 20236.8, April 2020
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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 languageJava
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Data schemeschema-freeyes infoRDF schemasschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 infobulk load of XML files possibleno
Secondary indexesnoyesyes
SQL infoSupport of SQLnoSPARQL is used as query languageSQL-like DML and DDL statements (CQL); Spark SQL
APIs and other access methodsHTTP APIRESTful HTTP API
SPARQL
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Supported programming languagesJava
Python
C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoJavaScript or Common Lispno
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicewith FederationSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
configurable replication factor, datacenter aware, advanced replication for edge computing
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users can be defined per object
More information provided by the system vendor
Alibaba Cloud Table StoreAllegroGraphDatastax Enterprise
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
DataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Supporting 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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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