DBMS > Bangdb vs. HBase vs. MongoDB vs. NebulaGraph vs. Weaviate
System Properties Comparison Bangdb vs. HBase vs. MongoDB vs. NebulaGraph vs. Weaviate
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Name | Bangdb Xexclude from comparison | HBase Xexclude from comparison | MongoDB Xexclude from comparison | NebulaGraph Xexclude from comparison | Weaviate Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | Converged and high performance database for device data, events, time series, document and graph | Wide-column store based on Apache Hadoop and on concepts of BigTable | 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 | An AI-native realtime vector database engine that integrates scalable machine learning models. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Document store Graph DBMS Time Series DBMS | Wide column store | Document store | Graph DBMS | Vector 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 Vector DBMS currently available in the MongoDB Atlas cloud service only | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | bangdb.com | hbase.apache.org | www.mongodb.com | github.com/vesoft-inc/nebula www.nebula-graph.io | github.com/weaviate/weaviate weaviate.io | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | docs.bangdb.com | hbase.apache.org/book.html | www.mongodb.com/docs/manual | docs.nebula-graph.io | weaviate.io/developers/weaviate | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | Sachin Sinha, BangDB | Apache Software Foundation Apache top-level project, originally developed by Powerset | MongoDB, Inc | Vesoft Inc. | Weaviate B.V. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2012 | 2008 | 2009 | 2019 | 2019 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | BangDB 2.0, October 2021 | 2.3.4, January 2021 | 6.0.7, June 2023 | 1.19, May 2023 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | Open Source BSD 3 | Open Source Apache version 2 | 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 | Open Source commercial license available with Weaviate Enterprise | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no | no | no MongoDB available as DBaaS (MongoDB Atlas) | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Implementation language | C, C++ | Java | C++ | C++ | Go | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | Linux | Linux Unix Windows using Cygwin | Linux OS X Solaris Windows | Linux | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | schema-free | schema-free, schema definition possible | 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 | yes, maps to GraphQL interface | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes: string, long, double, int, geospatial, stream, events | options to bring your own types, AVRO | yes string, integer, double, decimal, boolean, date, object_id, geospatial | yes | yes string, int, float, geo point, date, cross reference, fuzzy references | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 | no | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes secondary, composite, nested, reverse, geospatial | no | 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. | yes all data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | SQL like support with command line tool | no | Read-only SQL queries via the MongoDB Atlas SQL Interface | SQL-like query language | GraphQL is used as query language | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | Proprietary protocol RESTful HTTP API | Java API RESTful HTTP API Thrift | GraphQL HTTP REST Prisma proprietary protocol using JSON | Browser interface console (shell) 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 | GraphQL query language RESTful HTTP/JSON API | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | C C# C++ Java Python | C C# C++ Groovy Java PHP Python Scala | Actionscript unofficial driver C C# C++ Clojure unofficial driver ColdFusion unofficial driver D unofficial driver Dart unofficial driver Delphi unofficial driver Erlang Go Groovy unofficial driver Haskell Java JavaScript Kotlin Lisp unofficial driver Lua unofficial driver MatLab unofficial driver Perl PHP PowerShell unofficial driver Prolog unofficial driver Python R unofficial driver Ruby Rust Scala Smalltalk unofficial driver Swift | .Net C++ Go Java PHP Python | JavaScript / TypeScript Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | no | yes Coprocessors in Java | JavaScript | user defined functions | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | yes, Notifications (with Streaming only) | yes | yes in MongoDB Atlas only | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 | 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 | Sharding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | selectable replication factor, Knob for CAP (enterprise version only) | Multi-source replication Source-replica replication | Multi-Source deployments with MongoDB Atlas Global Clusters Source-replica replication | Causal Clustering using Raft protocol | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | no | yes | yes | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Tunable consistency, set CAP knob accordingly | Immediate Consistency or Eventual Consistency | Eventual Consistency can be individually decided for each read operation Immediate Consistency default behaviour | Immediate Consistency | Eventual Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no | no | no typically not used, however similar functionality with DBRef possible | yes Relationships in graphs | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | Single row ACID (across millions of columns) | Multi-document ACID Transactions with snapshot isolation | ACID | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes, optimistic concurrency control | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes, implements WAL (Write ahead log) as well | yes | yes optional, enabled by default | yes using RocksDB | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 | yes In-memory storage engine introduced with MongoDB version 3.2 | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | yes (enterprise version only) | Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC | Access rights for users and roles | Role-based access control | API Keys OpenID Connect Discovery | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Bangdb | HBase | MongoDB | NebulaGraph | Weaviate | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Specific characteristics | MongoDB provides an integrated suite of cloud database and data services to accelerate... » more | NebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,... » more | Weaviate is an open source vector database that is robust, scalable, cloud-native,... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competitive advantages | Built around the flexible document data model and unified API, MongoDB is a developer... » more | NebulaGraph boasts the world's only graph database solution that is able to host... » more | Flexible deployment - Free, open source or fully-managed cloud vector database service... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typical application scenarios | AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of... » more | Social networking Fraud detection Knowledge graph Data warehouse management Anti... » more | As a database supporting the development of generative AI and semantic search applications... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Key customers | ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,... » more | Companies from a variety of industries have implemented NebulaGraph Database in production,... » more | All companies that have data. » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Market metrics | Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month... » more | At our very early stage, NebulaGraph has already received over 10,000 stars on GitHub... » more | As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Licensing and pricing models | MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses... » more | NebulaGraph is open source and free to use under Apache 2.0 license. » more | Weaviate is open-source, and free to use. Weaviate is also available as a fully managed... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Bangdb | HBase | MongoDB | NebulaGraph | Weaviate | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | Cloudera's HBase PaaS offering now supports Complex Transactions Why is Hadoop not listed in the DB-Engines Ranking? | Snowflake is the DBMS of the Year 2021 PostgreSQL is the DBMS of the Year 2020 PostgreSQL is the DBMS of the Year 2018 | Weaviate, an ANN Database with CRUD support Less Components, Higher Performance: Apache Doris instead of ClickHouse, MySQL, Presto, and HBase What Is HBase? HBase: The database big data left behind Monitor Apache HBase on Amazon EMR using Amazon Managed Service for Prometheus and Amazon Managed ... HydraBase – The evolution of HBase@Facebook provided by Google News MongoDB Joins Digital Twin Consortium, Bringing AI and Real-Time Data Expertise MongoDB (NASDAQ:MDB) Shares Up 2.1% Alger Mid Cap Growth Fund Maintains its Conviction in MongoDB (MDB) MongoDB Stock Sinks 20% As Company Lowers Sales Guidance Why MongoDB Stock Plunged Today provided by Google News Vesoft (NebulaGraph) Recognized in the Gartner® Market Guide for Graph Database Management Systems NebulaGraph reaps from China's growing appetite for graph databases NebulaGraph Completes Series A to Scale Its Distributed Graph Database provided by Google News Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector ... Weaviate Partners with Snowflake to Bring Secure GenAI to Snowpark Container Services Foley Represents Cortical Ventures in $50M Series B Round for Weaviate Getting Started with Weaviate: A Beginner's Guide to Search with Vector Databases Weaviate Raises $50 Million Series B Funding to Meet Soaring Demand for AI Native Vector Database Technology ... provided by Google News |
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