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DBMS > Datastax Enterprise vs. Microsoft Access vs. Neo4j

System Properties Comparison Datastax Enterprise vs. Microsoft Access vs. Neo4j

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionDataStax 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.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Open source graph database
Primary database modelWide column storeRelational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.59
Rank#43  Overall
#4  Wide column stores
Score143.78
Rank#9  Overall
#6  Relational DBMS
Score51.03
Rank#22  Overall
#1  Graph DBMS
Websitewww.datastax.com/­products/­datastax-enterpriseproducts.office.com/­en-us/­accessneo4j.com
Technical documentationdocs.datastax.commsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxneo4j.com/­docs
DeveloperDataStaxMicrosoftNeo4j, Inc.
Initial release201119922007
Current release6.7, December 20181902 (16.0.11328.20222), March 20193.5.4, April 2019
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java, Scala
Server operating systemsLinux
OS X
Windows infoNot a real database server, but making use of DLLsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-freeyesschema-free and schema-optional
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.no
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyes infobut not compliant to any SQL standardno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
DAO
OLE DB
ADO.NET
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineyes infoUser defined Procedures and Functions
Triggersyesyes infosince Access 2010 using the ACE-engineyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users can be defined per objectno infoa simple user-level security was built in till version Access 2003Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Datastax EnterpriseMicrosoft AccessNeo4j
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Neo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Neo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsAnnual subscription
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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