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DBMS > 4D vs. Atos Standard Common Repository vs. Datastax Enterprise vs. Google BigQuery

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Datastax Enterprise vs. Google BigQuery

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonGoogle BigQuery  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksDataStax 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.Large scale data warehouse service with append-only tables
Primary database modelRelational DBMSDocument store
Key-value store
Wide column storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.78
Rank#102  Overall
#52  Relational DBMS
Score9.13
Rank#51  Overall
#4  Wide column stores
Score43.79
Rank#25  Overall
#16  Relational DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datastax.com/­products/­datastax-enterprisecloud.google.com/­bigquery
Technical documentationlivedoc.4d.comdocs.datastax.comcloud.google.com/­bigquery/­docs
Developer4D, IncAtos Convergence CreatorsDataStaxGoogle
Initial release1984201620112010
Current releasev18 R5, January 202117036.8, April 2020
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsOS X
Windows
LinuxLinux
OS X
hosted
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalyesyes
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
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92noSQL-like DML and DDL statements (CQL); Spark SQLyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnonouser defined functions infoin JavaScript
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesconfigurable replication factor, datacenter aware, advanced replication for edge computing
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
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
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsno infoAtomicity and isolation are supported for single operationsno infoSince BigQuery is designed for querying data
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.noyesyesno
User concepts infoAccess controlUsers and groupsLDAP bind authenticationAccess rights for users can be defined per objectAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryDatastax EnterpriseGoogle BigQuery
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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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositoryDatastax EnterpriseGoogle BigQuery
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