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DBMS > Apache Cassandra vs. Datastax Enterprise vs. Neo4j

System Properties Comparison Apache Cassandra vs. Datastax Enterprise vs. Neo4j

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Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessDataStax 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.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelWide column storeWide column storeGraph DBMS
Secondary database modelsVector DBMS infostarting with release V5Document store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score108.21
Rank#11  Overall
#1  Wide column stores
Score3.94
Rank#67  Overall
#4  Wide column stores
Score47.59
Rank#20  Overall
#1  Graph DBMS
Websitecassandra.apache.orgwww.datastax.com/­products/­datastax-enterpriseneo4j.com
Technical documentationcassandra.apache.org/­doc/­latestdocs.datastax.comneo4j.com/­docs
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookDataStaxNeo4j, Inc.
Initial release200820112007
Current release5.0-rc1, July 20246.8, April 20205.23, August 2024
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen 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 languageJavaJavaJava, Scala
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-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.nono
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL-like DML and DDL statements (CQL); Spark SQLno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyes infoUser defined Procedures and Functions
Triggersyesyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infono "single point of failure"yes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleconfigurable replication factor, datacenter aware, advanced replication for edge computingCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsno infoAtomicity and isolation are supported for single operationsACID
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.noyes
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users can be defined per objectUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Apache CassandraDatastax EnterpriseNeo4j
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