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DBMS > FeatureBase vs. NebulaGraph vs. Sphinx

System Properties Comparison FeatureBase vs. NebulaGraph vs. Sphinx

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonNebulaGraph  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A distributed, linear scalable, high perfomant Graph DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSGraph DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#304  Overall
#138  Relational DBMS
Score2.12
Rank#125  Overall
#10  Graph DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Websitewww.featurebase.comgithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
sphinxsearch.com
Technical documentationdocs.featurebase.comdocs.nebula-graph.iosphinxsearch.com/­docs
DeveloperMolecula and Pilosa Open Source ContributorsVesoft Inc.Sphinx Technologies Inc.
Initial release201720192001
Current release2022, May 20223.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0 + Common Clause 1.0Open Source infoGPL version 2, commercial licence 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 languageGoC++C++
Server operating systemsLinux
macOS
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesStrong typed schemayes
Typing infopredefined data types such as float or dateyesyesno
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 indexesnoyes 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 fields
SQL infoSupport of SQLSQL queriesSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Browser 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
Proprietary protocol
Supported programming languagesJava
Python
.Net
C++
Go
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesCausal Clustering using Raft protocolnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyes infousing RocksDByes 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.yesyes
User concepts infoAccess controlRole-based access controlno
More information provided by the system vendor
FeatureBaseNebulaGraphSphinx
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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FeatureBaseNebulaGraphSphinx
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