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DBMS > Drizzle vs. Heroic vs. Neo4j vs. SiteWhere

System Properties Comparison Drizzle vs. Heroic vs. Neo4j vs. SiteWhere

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHeroic  Xexclude from comparisonNeo4j  Xexclude from comparisonSiteWhere  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSTime Series DBMSGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitegithub.com/­spotify/­heroicneo4j.comgithub.com/­sitewhere/­sitewhere
Technical documentationspotify.github.io/­heroicneo4j.com/­docssitewhere1.sitewhere.io/­index.html
DeveloperDrizzle project, originally started by Brian AkerSpotifyNeo4j, Inc.SiteWhere
Initial release2008201420072010
Current release7.2.4, September 20125.19, April 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infoGPL version3, commercial licenses availableOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
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 languageC++JavaJava, ScalaJava
Server operating systemsFreeBSD
Linux
OS X
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-free and schema-optionalpredefined scheme
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.nono
Secondary indexesyesyes infovia Elasticsearchyes infopluggable indexing subsystem, by default Apache Luceneno
SQL infoSupport of SQLyes infowith proprietary extensionsnonono
APIs and other access methodsJDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
HTTP REST
Supported programming languagesC
C++
Java
PHP
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyes infoUser defined Procedures and Functions
Triggersno infohooks for callbacks inside the server can be used.noyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes using Neo4j FabricSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Users with fine-grained authorization concept
More information provided by the system vendor
DrizzleHeroicNeo4jSiteWhere
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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More resources
DrizzleHeroicNeo4jSiteWhere
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