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DBMS > Nebula Graph vs. Sphinx vs. Splice Machine

System Properties Comparison Nebula Graph vs. Sphinx vs. Splice Machine

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Editorial information provided by DB-Engines
NameNebula Graph  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA distributed, linear scalable, high perfomant Graph DBMSOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#243  Overall
#19  Graph DBMS
Score6.45
Rank#57  Overall
#6  Search engines
Score0.76
Rank#185  Overall
#93  Relational DBMS
Websitegithub.com/­vesoft-inc/­nebula
nebula-graph.io
sphinxsearch.comsplicemachine.com
Technical documentationdocs.nebula-graph.iosphinxsearch.com/­docsdoc.splicemachine.com
DeveloperVesoft Inc.Sphinx Technologies Inc.Splice Machine
Initial release201920012014
Current release3.2.1, January 20202.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0 + Common Clause 1.0Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java
Server operating systemsLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeStrong typed schemayesyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyes 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 infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (SphinxQL)yes
APIs and other access methodsBrowser interface
console (shell)
Proprietary native API
Query language nGQL
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesC++
Go
Java
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoJava
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocolnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infousing RocksDByes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlRole-based access controlnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Nebula GraphSphinxSplice Machine
Specific characteristicsNebula Graph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Splice Machine is the open-source dual-engine RDBMS, powered by Hadoop and Spark....
» more
Competitive advantagesNebula Graph boasts the world's only graph database solution that is able to host...
» more

» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Machine Learning, High Volume Financial Transaction processing, Internet of Things...
» more
Key customersCurrently we have some top internet companies in China implementing Nebula Graph...
» more
Market metricsAt our very early stage, Nebula Graph has already received over nearly three thousand...
» more
Licensing and pricing modelsNebula Graph is open source and free to use under Apache 2.0 license and Common Clause...
» more
Free Open Source as well as Enterprise model available. See http://www.splicemachine.com/product/pricing...
» more
News

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10 March 2020

Building Production-Ready Machine Learning Models
4 March 2020

Considerations of Moving Applications Off the Mainframe
22 January 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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Nebula GraphSphinxSplice Machine
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