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DBMS > GridGain vs. Machbase Neo vs. NebulaGraph vs. Sphinx

System Properties Comparison GridGain vs. Machbase Neo vs. NebulaGraph vs. Sphinx

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonNebulaGraph  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteTimeSeries DBMS for AIoT and BigDataA distributed, linear scalable, high perfomant Graph DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value store
Relational DBMS
Time Series DBMSGraph DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score2.14
Rank#120  Overall
#10  Graph DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.gridgain.commachbase.comgithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
sphinxsearch.com
Technical documentationwww.gridgain.com/­docs/­index.htmlmachbase.com/­dbmsdocs.nebula-graph.iosphinxsearch.com/­docs
DeveloperGridGain Systems, Inc.MachbaseVesoft Inc.Sphinx Technologies Inc.
Initial release2007201320192001
Current releaseGridGain 8.5.1V8.0, August 20233.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree test version availableOpen Source infoApache Version 2.0 + Common Clause 1.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetCC++C++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesStrong typed schemayes
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.yesnono
Secondary indexesyesyesyes 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 SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
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 languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.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 proceduresyes (compute grid and cache interceptors can be used instead)nouser defined functionsno
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factorCausal Clustering using Raft protocolnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyes 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 infovolatile and lookup tableyes
User concepts infoAccess controlSecurity Hooks for custom implementationssimple password-based access controlRole-based access controlno
More information provided by the system vendor
GridGainMachbase Neo infoFormer name was InfinifluxNebulaGraphSphinx
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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GridGainMachbase Neo infoFormer name was InfinifluxNebulaGraphSphinx
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