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DBMS > Hawkular Metrics vs. Lovefield vs. Neo4j

System Properties Comparison Hawkular Metrics vs. Lovefield vs. Neo4j

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonLovefield  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Embeddable relational database for web apps written in pure JavaScriptOpen source graph database
Primary database modelTime Series DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#310  Overall
#24  Time Series DBMS
Score0.21
Rank#253  Overall
#117  Relational DBMS
Score50.53
Rank#22  Overall
#1  Graph DBMS
Websitewww.hawkular.orggoogle.github.io/­lovefieldneo4j.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdneo4j.com/­docs
DeveloperCommunity supported by Red HatGoogleNeo4j, Inc.
Initial release201420142007
Current release2.1.12, February 20173.5.8, July 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: The simplest way to run Neo4j in the cloud
Implementation languageJavaJavaScriptJava, Scala
Server operating systemsLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-freeyesschema-free and schema-optional
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 indexesnoyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsHTTP RESTBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesGo
Java
Python
Ruby
JavaScript.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyes infoUser defined Procedures and Functions
Triggersyes infovia Hawkular AlertingUsing read-only observersyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandranonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandranoneCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDB
User concepts infoAccess controlnonoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Hawkular MetricsLovefieldNeo4j
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

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13 November 2019

Real Examples of Why We Need Context for Responsible AI
12 November 2019

This Week in Neo4j – Neo4j Aura is Here, Graph Embeddings, Graph Modeling: All about relationships, Exploring Structural Balance
9 November 2019

Capturing Relationships: 5-Minute Interview with Forrest Swope
8 November 2019

Introducing Neo4j Aura: A New Graph Database as a Service
6 November 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Hawkular MetricsLovefieldNeo4j
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