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DBMS > Hawkular Metrics vs. Neo4j vs. Weaviate

System Properties Comparison Hawkular Metrics vs. Neo4j vs. Weaviate

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonNeo4j  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelTime Series DBMSGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.11
Rank#375  Overall
#38  Time Series DBMS
Score49.99
Rank#22  Overall
#1  Graph DBMS
Score2.03
Rank#149  Overall
#4  Vector DBMS
Websitewww.hawkular.orgneo4j.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideneo4j.com/­docsweaviate.io/­developers/­weaviate
DeveloperCommunity supported by Red HatNeo4j, Inc.Weaviate B.V.
Initial release201420072019
Current release5.14, November 20231.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version3, commercial licenses availableOpen Source infocommercial license available with Weaviate Enterprise
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: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJavaJava, ScalaGo
Server operating systemsLinux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-freeschema-free and schema-optionalyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 indexesnoyes infopluggable indexing subsystem, by default Apache Luceneyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnonoGraphQL is used as query language
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
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGo
Java
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functionsno
Triggersyes infovia Hawkular Alertingyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrayes using Neo4j FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes
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
Eventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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.noyes
User concepts infoAccess controlnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)API Keys
OpenID Connect Discovery
More information provided by the system vendor
Hawkular MetricsNeo4jWeaviate
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
All companies that have data. ​
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more
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