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DBMS > Apache Phoenix vs. NebulaGraph vs. Solr vs. Spark SQL

System Properties Comparison Apache Phoenix vs. NebulaGraph vs. Solr vs. Spark SQL

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonNebulaGraph  Xexclude from comparisonSolr  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA distributed, linear scalable, high perfomant Graph DBMSA widely used distributed, scalable search engine based on Apache LuceneSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSGraph DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score2.14
Rank#120  Overall
#10  Graph DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitephoenix.apache.orggithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
solr.apache.orgspark.apache.org/­sql
Technical documentationphoenix.apache.orgdocs.nebula-graph.iosolr.apache.org/­resources.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software FoundationVesoft Inc.Apache Software FoundationApache Software Foundation
Initial release2014201920062014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20199.6.0, April 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0 + Common Clause 1.0Open Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaScala
Server operating systemsLinux
Unix
Windows
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesStrong typed schemayes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyes
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.nonoyesno
Secondary indexesyesyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.yes infoAll search fields are automatically indexedno
SQL infoSupport of SQLyesSQL-like query languageSolr Parallel SQL InterfaceSQL-like DML and DDL statements
APIs and other access methodsJDBCBrowser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
Java API
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C++
Go
Java
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsJava pluginsno
Triggersnoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Causal Clustering using Raft protocolyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing RocksDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyRole-based access controlyesno
More information provided by the system vendor
Apache PhoenixNebulaGraphSolrSpark SQL
Specific characteristicsNebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebulaGraph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCompanies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Market metricsAt our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» more

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More resources
Apache PhoenixNebulaGraphSolrSpark SQL
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