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DBMS > 4D vs. Atos Standard Common Repository vs. Blazegraph vs. Datastax Enterprise vs. GigaSpaces

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Blazegraph vs. Datastax Enterprise vs. GigaSpaces

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBlazegraph  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonGigaSpaces  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionApplication development environment with integrated database management systemHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.DataStax 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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelRelational DBMSDocument store
Key-value store
Graph DBMS
RDF store
Wide column storeDocument store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score5.80
Rank#60  Overall
#4  Wide column stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositoryblazegraph.comwww.datastax.com/­products/­datastax-enterprisewww.gigaspaces.com
Technical documentationdeveloper.4d.comwiki.blazegraph.comdocs.datastax.comdocs.gigaspaces.com/­latest/­landing.html
Developer4D, IncAtos Convergence CreatorsBlazegraphDataStaxGigaspaces Technologies
Initial release19842016200620112000
Current releasev20, April 202317032.1.5, March 20196.8, April 202015.5, September 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoextended commercial license availablecommercialOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageJavaJavaJavaJava, C++, .Net
Server operating systemsOS X
Windows
LinuxLinux
OS X
Windows
Linux
OS X
Linux
macOS
Solaris
Windows
Data schemeyesSchema and schema-less with LDAP viewsschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptionalyes infoRDF literal typesyesyes
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.yesyesnono infoXML can be used for describing objects metadata
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92noSPARQL is used as query languageSQL-like DML and DDL statements (CQL); Spark SQLSQL-99 for query and DML statements
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindings.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresyesnoyesnoyes
Triggersyesyesnoyesyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesconfigurable replication factor, datacenter aware, advanced replication for edge computingMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityyesnoyes infoRelationships in Graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDno infoAtomicity and isolation are supported for single operationsACID
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.noyesyesyes
User concepts infoAccess controlUsers and groupsLDAP bind authenticationSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users can be defined per objectRole-based access control
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryBlazegraphDatastax EnterpriseGigaSpaces
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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4D infoformer name: 4th DimensionAtos Standard Common RepositoryBlazegraphDatastax EnterpriseGigaSpaces
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