DBMS > Bangdb vs. MongoDB vs. NebulaGraph
System Properties Comparison Bangdb vs. MongoDB vs. NebulaGraph
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|Editorial information provided by DB-Engines|
|Name||Bangdb Xexclude from comparison||MongoDB Xexclude from comparison||NebulaGraph Xexclude from comparison|
|Description||Converged and high performance database for device data, events, time series, document and graph||One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure||A distributed, linear scalable, high perfomant Graph DBMS|
|Primary database model||Document store|
Time Series DBMS
|Document store||Graph DBMS|
|Secondary database models||Spatial DBMS||Spatial DBMS|
Search engine integrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS Time Series Collections introduced in Release 5.0
|Developer||Sachin Sinha, BangDB||MongoDB, Inc||Vesoft Inc.|
|Current release||BangDB 2.0, October 2021||6.0.1, August 2022|
|License Commercial or Open Source||Open Source BSD 3||Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.||Open Source Apache Version 2.0 + Common Clause 1.0|
|Cloud-based only Only available as a cloud service||no||no MongoDB available as DBaaS (MongoDB Atlas)||no|
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|ScaleGrid for MongoDB Database: Fully managed hosting for MongoDB Database on a wide variety of cloud providers and On-Premises. Automate your management, scaling and backups through one centralized platform.|
|Implementation language||C, C++||C++||C++|
|Server operating systems||Linux||Linux|
|Data scheme||schema-free||schema-free Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.||Strong typed schema|
|Typing predefined data types such as float or date||yes: string, long, double, int, geospatial, stream, events||yes string, integer, double, decimal, boolean, date, object_id, geospatial||yes|
|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.||no||no|
|Secondary indexes||yes secondary, composite, nested, reverse, geospatial||yes||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 support with command line tool||Read-only SQL queries via the MongoDB Connector for BI||SQL-like query language|
|APIs and other access methods||Proprietary protocol|
RESTful HTTP API
|proprietary protocol using JSON||Browser interface|
Proprietary native API
Query language nGQL
|Supported programming languages||C|
|Actionscript unofficial driver|
Clojure unofficial driver
ColdFusion unofficial driver
D unofficial driver
Dart unofficial driver
Delphi unofficial driver
Groovy unofficial driver
Lisp unofficial driver
Lua unofficial driver
MatLab unofficial driver
PowerShell unofficial driver
Prolog unofficial driver
R unofficial driver
Smalltalk unofficial driver
|Triggers||yes, Notifications (with Streaming only)||yes in MongoDB Atlas only|
|Partitioning methods Methods for storing different data on different nodes||Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm||Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor, Knob for CAP (enterprise version only)||Multi-Source deployments with MongoDB Atlas Global Clusters|
|Causal Clustering using Raft protocol|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Tunable consistency, set CAP knob accordingly||Eventual Consistency|
Immediate Consistency can be individually decided for each write operation
|Foreign keys Referential integrity||no||no typically not used, however similar functionality with DBRef possible||yes Relationships in graphs|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||Multi-document ACID Transactions with snapshot isolation||ACID|
|Concurrency Support for concurrent manipulation of data||yes, optimistic concurrency control||yes||yes|
|Durability Support for making data persistent||yes, implements WAL (Write ahead log) as well||yes optional, enabled by default||yes using RocksDB|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes, run db with in-memory only mode||yes In-memory storage engine introduced with MongoDB version 3.2||yes|
|User concepts Access control||yes (enterprise version only)||Access rights for users and roles||Role-based access control|
|More information provided by the system vendor|
|Specific characteristics||NebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...|
|Competitive advantages||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...|
|Key customers||Currently we have some top internet companies in China implementing NebulaGraph in...|
|Market metrics||At our very early stage, NebulaGraph has already received over 8,200 stars and thousands...|
|Licensing and pricing models||NebulaGraph is open source and free to use under Apache 2.0 license.|
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