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DBMS > Apache Druid vs. H2GIS vs. Neo4j vs. Sphinx

System Properties Comparison Apache Druid vs. H2GIS vs. Neo4j vs. Sphinx

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonH2GIS  Xexclude from comparisonNeo4j  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataSpatial extension of H2Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMS
Time Series DBMS
Spatial DBMSGraph DBMSSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitedruid.apache.orgwww.h2gis.orgneo4j.comsphinxsearch.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.h2gis.org/­docs/­homeneo4j.com/­docssphinxsearch.com/­docs
DeveloperApache Software Foundation and contributorsCNRSNeo4j, Inc.Sphinx Technologies Inc.
Initial release2012201320072001
Current release29.0.1, April 20245.19, April 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoLGPL 3.0Open Source infoGPL version3, commercial licenses availableOpen Source infoGPL version 2, commercial licence 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 languageJavaJavaJava, ScalaC++
Server operating systemsLinux
OS X
Unix
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyes infopluggable indexing subsystem, by default Apache Luceneyes infofull-text index on all search fields
SQL infoSupport of SQLSQL for queryingyesnoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Proprietary protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyes infobased on H2yes infoUser defined Procedures and Functionsno
Triggersnoyesyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneyes using Neo4j FabricSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infobased on H2Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes infobased on H2Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)no
More information provided by the system vendor
Apache DruidH2GISNeo4jSphinx
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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