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DBMS > Graph Engine vs. GreptimeDB vs. HEAVY.AI vs. NebulaGraph

System Properties Comparison Graph Engine vs. GreptimeDB vs. HEAVY.AI vs. NebulaGraph

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonNebulaGraph  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA distributed, linear scalable, high perfomant Graph DBMS
Primary database modelGraph DBMS
Key-value store
Time Series DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score1.92
Rank#122  Overall
#11  Graph DBMS
Websitewww.graphengine.iogreptime.comgithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­vesoft-inc/­nebula
www.nebula-graph.io
Technical documentationwww.graphengine.io/­docs/­manualdocs.greptime.comdocs.heavy.aidocs.nebula-graph.io
DeveloperMicrosoftGreptime Inc.HEAVY.AI, Inc.Vesoft Inc.
Initial release2010202220162019
Current release5.10, January 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2.0 + Common Clause 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CRustC++ and CUDAC++
Server operating systems.NETAndroid
Docker
FreeBSD
Linux
macOS
Windows
LinuxLinux
Data schemeyesschema-free, schema definition possibleyesStrong typed schema
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesnoyes 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.
SQL infoSupport of SQLnoyesyesSQL-like query language
APIs and other access methodsRESTful HTTP APIgRPC
HTTP API
JDBC
JDBC
ODBC
Thrift
Vega
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
Supported programming languagesC#
C++
F#
Visual Basic
C++
Erlang
Go
Java
JavaScript
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C++
Go
Java
PHP
Python
Server-side scripts infoStored proceduresyesPythonnouser defined functions
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationCausal Clustering using Raft protocol
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes infousing RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlSimple rights management via user accountsfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
Graph Engine infoformer name: TrinityGreptimeDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022NebulaGraph
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
NebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
NebulaGraph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Social networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Companies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
At our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
NebulaGraph is open source and free to use under Apache 2.0 license.
» more

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More resources
Graph Engine infoformer name: TrinityGreptimeDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022NebulaGraph
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