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DBMS > Amazon Neptune vs. Cassandra vs. Datomic vs. Netezza

System Properties Comparison Amazon Neptune vs. Cassandra vs. Datomic vs. Netezza

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCassandra  Xexclude from comparisonDatomic  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityData warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMS
RDF store
Wide column storeRelational DBMSRelational DBMS
Secondary database modelsVector DBMS infostarting with release V5
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score98.83
Rank#12  Overall
#1  Wide column stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websiteaws.amazon.com/­neptunecassandra.apache.orgwww.datomic.comwww.ibm.com/­products/­netezza
Technical documentationaws.amazon.com/­neptune/­developer-resourcescassandra.apache.org/­doc/­latestdocs.datomic.com
DeveloperAmazonApache Software Foundation infoApache top level project, originally developped by FacebookCognitectIBM
Initial release2017200820122000
Current release4.1.3, July 20231.0.7075, December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaJava, Clojure
Server operating systemshostedBSD
Linux
OS X
Windows
All OS with a Java VMLinux infoincluded in appliance
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesnorestricted infoonly equality queries, not always the best performing solutionyesyes
SQL infoSupport of SQLnoSQL-like SELECT, DML and DDL statements (CQL)noyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
RESTful HTTP APIJDBC
ODBC
OLE DB
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Clojure
Java
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnonoyes infoTransaction Functionsyes
TriggersnoyesBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"none infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.selectable replication factor infoRepresentation of geographical distribution of servers is possiblenone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and development
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per objectnoUsers with fine-grained authorization concept
More information provided by the system vendor
Amazon NeptuneCassandraDatomicNetezza infoAlso called PureData System for Analytics by IBM
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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