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DBMS > Bangdb vs. HugeGraph vs. HyperSQL vs. Milvus vs. WakandaDB

System Properties Comparison Bangdb vs. HugeGraph vs. HyperSQL vs. Milvus vs. WakandaDB

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHugeGraph  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMilvus  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA fast-speed and highly-scalable Graph DBMSMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA DBMS designed for efficient storage of vector data and vector similarity searchesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMSRelational DBMSVector DBMSObject oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitebangdb.comgithub.com/­hugegraph
hugegraph.apache.org
hsqldb.orgmilvus.iowakanda.github.io
Technical documentationdocs.bangdb.comhugegraph.apache.org/­docshsqldb.org/­web/­hsqlDocsFrame.htmlmilvus.io/­docs/­overview.mdwakanda.github.io/­doc
DeveloperSachin Sinha, BangDBBaiduWakanda SAS
Initial release20122018200120192012
Current releaseBangDB 2.0, October 20210.92.7.2, June 20232.3.4, January 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2.0Open Source infobased on BSD licenseOpen Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC, C++JavaJavaC++, GoC++, JavaScript
Server operating systemsLinuxLinux
macOS
Unix
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesVector, Numeric and Stringyes
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.nonononono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyes infoalso supports composite index and range indexyesno
SQL infoSupport of SQLSQL like support with command line toolnoyesnono
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP APIRESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
Groovy
Java
Python
All languages supporting JDBC/ODBC
Java
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsJava, SQLnoyes
Triggersyes, Notifications (with Streaming only)noyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmyes infodepending on used storage backend, e.g. Cassandra and HBasenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes infodepending on used storage backend, e.g. Cassandra and HBasenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesyesyesno
User concepts infoAccess controlyes (enterprise version only)Users, roles and permissionsfine grained access rights according to SQL-standardRole based access control and fine grained access rightsyes
More information provided by the system vendor
BangdbHugeGraphHyperSQL infoalso known as HSQLDBMilvusWakandaDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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BangdbHugeGraphHyperSQL infoalso known as HSQLDBMilvusWakandaDB
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