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DBMS > Apache Cassandra vs. Neo4j vs. YDB

System Properties Comparison Apache Cassandra vs. Neo4j vs. YDB

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Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonNeo4j  Xexclude from comparisonYDB  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 offeringsA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelWide column storeGraph DBMSDocument store
Relational DBMS
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
Score0.63
Rank#228  Overall
#38  Document stores
#105  Relational DBMS
Websitecassandra.apache.orgneo4j.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationcassandra.apache.org/­doc/­latestneo4j.com/­docsydb.tech/­en/­docs
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookNeo4j, Inc.Yandex
Initial release200820072019
Current release5.0-rc1, July 20245.23, August 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoGPL version3, commercial licenses availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, Scala
Server operating systemsBSD
Linux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-free and schema-optionalFlexible Schema (defined schema, partial schema, schema free)
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 solutionyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)noSQL-like query language (YQL)
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
RESTful HTTP API (DynamoDB compatible)
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
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functionsno
Triggersyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"yes using Neo4j FabricSharding
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 onlyActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
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
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID
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.nono
User concepts infoAccess controlAccess rights for users can be defined per objectUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights defined for Yandex Cloud users
More information provided by the system vendor
Apache CassandraNeo4jYDB
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