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DBMS > HBase vs. mSQL vs. Neo4j vs. Warp 10

System Properties Comparison HBase vs. mSQL vs. Neo4j vs. Warp 10

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonNeo4j  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTablemSQL (Mini SQL) is a simple and lightweight RDBMSScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelWide column storeRelational DBMSGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitehbase.apache.orghughestech.com.au/­products/­msqlneo4j.comwww.warp10.io
Technical documentationhbase.apache.org/­book.htmlneo4j.com/­docswww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetHughes TechnologiesNeo4j, Inc.SenX
Initial release2008199420072015
Current release2.3.4, January 20214.4, October 20215.20, May 2024
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infofree licenses can be providedOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache License 2.0
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 languageJavaCJava, ScalaJava
Server operating systemsLinux
Unix
Windows infousing Cygwin
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-free, schema definition possibleyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyes
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.nonono
Secondary indexesnoyesyes infopluggable indexing subsystem, by default Apache Luceneno
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnono
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
HTTP API
Jupyter
WebSocket
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanoyes infoUser defined Procedures and Functionsyes infoWarpScript
Triggersyesnoyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes using Neo4j FabricSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencynoneCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noACIDno
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
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.yesnoyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Mandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
HBasemSQL infoMini SQLNeo4jWarp 10
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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