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DBMS > Apache Cassandra vs. Neo4j vs. Riak KV

System Properties Comparison Apache Cassandra vs. Neo4j vs. Riak KV

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Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonNeo4j  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsDistributed, fault tolerant key-value store
Primary database modelWide column storeGraph DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsVector DBMS infostarting with release V5
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score108.05
Rank#11  Overall
#1  Wide column stores
Score47.91
Rank#20  Overall
#1  Graph DBMS
Score3.21
Rank#82  Overall
#11  Key-value stores
Websitecassandra.apache.orgneo4j.com
Technical documentationcassandra.apache.org/­doc/­latestneo4j.com/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookNeo4j, Inc.OpenSource, formerly Basho Technologies
Initial release200820072009
Current release5.0-rc1, July 20245.23, August 20243.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoGPL version3, commercial licenses availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ScalaErlang
Server operating systemsBSD
Linux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Data schemeschema-freeschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesno
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 solutionyes infopluggable indexing subsystem, by default Apache Lucenerestricted
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)nono
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
HTTP API
Native Erlang Interface
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and FunctionsErlang
Triggersyesyes infovia event handleryes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"yes using Neo4j FabricSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDno
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.no
User concepts infoAccess controlAccess rights for users can be defined per objectUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yes, using Riak Security
More information provided by the system vendor
Apache CassandraNeo4jRiak KV
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