DBMS > Brytlyt vs. NebulaGraph vs. TerarkDB
System Properties Comparison Brytlyt vs. NebulaGraph vs. TerarkDB
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|Editorial information provided by DB-Engines
|Brytlyt Xexclude from comparison
|NebulaGraph Xexclude from comparison
|TerarkDB Xexclude from comparison
|Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQL
|A distributed, linear scalable, high perfomant Graph DBMS
|A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
|Primary database model
|ByteDance, originally Terark
|5.0, August 2023
|License Commercial or Open Source
|Open Source Apache Version 2.0 + Common Clause 1.0
|commercial restricted open source version available
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|C, C++ and CUDA
|Server operating systems
|Strong typed schema
|Typing predefined data types such as float or date
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.
|yes specific XML-type available, but no XML query functionality.
|yes Nebula 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 Support of SQL
|SQL-like query language
|APIs and other access methods
native C library
streaming API for large objects
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis ORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
|Supported programming languages
|Server-side scripts Stored procedures
|user defined functions in PL/pgSQL
|user defined functions
|Partitioning methods Methods for storing different data on different nodes
|Replication methods Methods for redundantly storing data on multiple nodes
|Causal Clustering using Raft protocol
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Foreign keys Referential integrity
|yes Relationships in graphs
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|yes using RocksDB
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|fine grained access rights according to SQL-standard
|Role-based access control
|More information provided by the system vendor
|NebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
|NebulaGraph boasts the world's only graph database solution that is able to host...
|Typical application scenarios
|Social networking Fraud detection Knowledge graph Data warehouse management Anti...
|Companies from a variety of industries have implemented NebulaGraph Database in production,...
|At our very early stage, NebulaGraph has already received over 9,800 stars and thousands...
|Licensing and pricing models
|NebulaGraph is open source and free to use under Apache 2.0 license.
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|Recent citations in the news
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