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DBMS > Drizzle vs. Ehcache vs. Hypertable vs. Neo4j

System Properties Comparison Drizzle vs. Ehcache vs. Hypertable vs. Neo4j

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEhcache  Xexclude from comparisonHypertable  Xexclude from comparisonNeo4j  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.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A widely adopted Java cache with tiered storage optionsAn open source BigTable implementation based on distributed file systems such as HadoopScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelRelational DBMSKey-value storeWide column storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score44.89
Rank#21  Overall
#1  Graph DBMS
Websitewww.ehcache.orgneo4j.com
Technical documentationwww.ehcache.org/­documentationneo4j.com/­docs
DeveloperDrizzle project, originally started by Brian AkerTerracotta Inc, owned by Software AGHypertable Inc.Neo4j, Inc.
Initial release2008200920092007
Current release7.2.4, September 20123.10.0, March 20220.9.8.11, March 20165.20, May 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoGPL version3, commercial licenses available
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++JavaC++Java, Scala
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesnoyes
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.no
Secondary indexesyesnorestricted infoonly exact value or prefix value scansyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyes infowith proprietary extensionsnonono
APIs and other access methodsJDBCJCacheC++ API
Thrift
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesC
C++
Java
PHP
JavaC++
Java
Perl
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnononoyes infoUser defined Procedures and Functions
Triggersno infohooks for callbacks inside the server can be used.yes infoCache Event Listenersnoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta ServerShardingyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoby using Terracotta Serverselectable replication factor on file system levelCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourcenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnonoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
DrizzleEhcacheHypertableNeo4j
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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DrizzleEhcacheHypertableNeo4j
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