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DBMS > Amazon Neptune vs. GigaSpaces vs. Hawkular Metrics vs. OpenEdge vs. Prometheus

System Properties Comparison Amazon Neptune vs. GigaSpaces vs. Hawkular Metrics vs. OpenEdge vs. Prometheus

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOpenEdge  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Application development environment with integrated database management systemOpen-source Time Series DBMS and monitoring system
Primary database modelGraph DBMS
RDF store
Document store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score3.75
Rank#88  Overall
#47  Relational DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Websiteaws.amazon.com/­neptunewww.gigaspaces.comwww.hawkular.orgwww.progress.com/­openedgeprometheus.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.gigaspaces.com/­latest/­landing.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocumentation.progress.com/­output/­ua/­OpenEdge_latestprometheus.io/­docs
DeveloperAmazonGigaspaces TechnologiesCommunity supported by Red HatProgress Software Corporation
Initial release20172000201419842015
Current release15.5, September 2020OpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaGo
Server operating systemshostedLinux
macOS
Solaris
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesNumeric data only
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 infoXML can be used for describing objects metadatanoyesno infoImport of XML data possible
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLnoSQL-99 for query and DML statementsnoyes infoclose to SQL 92no
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP RESTJDBC
ODBC
RESTful HTTP/JSON API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C++
Java
Python
Scala
Go
Java
Python
Ruby
Progress proprietary ABL (Advanced Business Language).Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoyesnoyesno
Triggersnoyes, event driven architectureyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on Cassandrahorizontal partitioning infosince Version 11.4Sharding
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.Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor infobased on CassandraSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistencynone
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlnoUsers and groupsno

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More resources
Amazon NeptuneGigaSpacesHawkular MetricsOpenEdgePrometheus
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