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DBMS > Datastax Enterprise vs. InfinityDB vs. Neo4j

System Properties Comparison Datastax Enterprise vs. InfinityDB vs. Neo4j

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonInfinityDB  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.A Java embedded Key-Value Store which extends the Java Map interfaceOpen source graph database
Primary database modelWide column storeKey-value storeGraph DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.63
Rank#42  Overall
#4  Wide column stores
Score0.10
Rank#286  Overall
#47  Key-value stores
Score48.22
Rank#22  Overall
#1  Graph DBMS
Websitewww.datastax.com/­products/­datastax-enterpriseboilerbay.comneo4j.com
Technical documentationdocs.datastax.comboilerbay.com/­infinitydb/­manualneo4j.com/­docs
DeveloperDataStaxBoiler Bay Inc.Neo4j, Inc.
Initial release201120022007
Current release6.7, December 20184.03.5.8, July 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava, Scala
Server operating systemsLinux
OS X
All OS with a Java VMLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnono
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
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
Java.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyes infoUser defined Procedures and Functions
Triggersyesnoyes 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
Immediate Consistency infoREAD-COMMITTED or SERIALIZEDCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
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.yesno
User concepts infoAccess controlAccess rights for users can be defined per objectnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Datastax EnterpriseInfinityDBNeo4j
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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