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DBMS > Amazon Neptune vs. Coveo vs. H2 vs. Netezza

System Properties Comparison Amazon Neptune vs. Coveo vs. H2 vs. Netezza

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCoveo  Xexclude from comparisonH2  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMS
RDF store
Search engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score2.28
Rank#114  Overall
#11  Search engines
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websiteaws.amazon.com/­neptunewww.coveo.comwww.h2database.comwww.ibm.com/­products/­netezza
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.coveo.comwww.h2database.com/­html/­main.html
DeveloperAmazonCoveoThomas MuellerIBM
Initial release2017201220052000
Current release2.2.220, July 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedhostedAll OS with a Java VMLinux infoincluded in appliance
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIJDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
JavaC
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnonoJava Stored Procedures and User-Defined Functionsyes
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyesnoneSharding
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.yesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)granular access controls, API key management, content filtersfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Amazon NeptuneCoveoH2Netezza infoAlso called PureData System for Analytics by IBM
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Find and link similar entities in a knowledge graph using Amazon Neptune, Part 1: Full-text search | Amazon Web ...
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