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DBMS > Memgraph vs. Nebula Graph vs. Sphinx

System Properties Comparison Memgraph vs. Nebula Graph vs. Sphinx

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Editorial information provided by DB-Engines
NameMemgraph  Xexclude from comparisonNebula Graph  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scaleA distributed, linear scalable, high perfomant Graph DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMSGraph DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#298  Overall
#28  Graph DBMS
Score0.55
Rank#222  Overall
#18  Graph DBMS
Score6.34
Rank#60  Overall
#7  Search engines
Websitememgraph.comgithub.com/­vesoft-inc/­nebula
nebula-graph.io
sphinxsearch.com
Technical documentationdocs.memgraph.comdocs.nebula-graph.iosphinxsearch.com/­docs
DeveloperMemgraph LtdVesoft Inc.Sphinx Technologies Inc.
Initial release201720192001
Current release3.2.1, January 2020
License infoCommercial or Open Sourcecommercial infoFree license 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 servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++C++
Server operating systemsLinuxLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free and schema-optionalStrong 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 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 fields
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsBolt protocol
Cypher query language
Browser interface
console (shell)
Proprietary native API
Query language nGQL
Proprietary protocol
Supported programming languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Go
Java
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infodynamic graph partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTCausal Clustering using Raft protocolnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infowith snapshot isolationACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes 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 controlUsers, roles and permissionsRole-based access controlno
More information provided by the system vendor
MemgraphNebula GraphSphinx
Specific characteristicsNebula Graph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebula Graph 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 customersCurrently we have some top internet companies in China implementing Nebula Graph...
» more
Market metricsAt our very early stage, Nebula Graph has already received 3.5k stars and thousands...
» more
Licensing and pricing modelsNebula Graph is open source and free to use under Apache 2.0 license and Common Clause...
» more
News

Nebula Graph v1.1 Release Note
21 September 2020

Pick of the Week at Nebula Graph - Configuration recommendations for data import
18 September 2020

How to Migrate Data from Neo4j to Nebula Graph with Nebula Graph Exchange
17 September 2020

Nebula Graph 1.0 Benchmark Report based on the LDBC Dataset
11 September 2020

Pick of the Week at Nebula Graph - Nebula Graph DBaaS is Public for Beta Test
11 September 2020

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

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More resources
MemgraphNebula GraphSphinx
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