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DBMS > BoltDB vs. Dgraph vs. Hawkular Metrics vs. Milvus vs. NSDb

System Properties Comparison BoltDB vs. Dgraph vs. Hawkular Metrics vs. Milvus vs. NSDb

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDgraph  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMilvus  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Distributed and scalable native Graph DBMSHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A DBMS designed for efficient storage of vector data and vector similarity searchesScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelKey-value storeGraph DBMSTime Series DBMSVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitegithub.com/­boltdb/­boltdgraph.iowww.hawkular.orgmilvus.ionsdb.io
Technical documentationdgraph.io/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidemilvus.io/­docs/­overview.mdnsdb.io/­Architecture
DeveloperDgraph Labs, Inc.Community supported by Red Hat
Initial release20132016201420192017
Current release2.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0
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 languageGoGoJavaC++, GoJava, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesVector, Numeric and Stringyes: int, bigint, decimal, string
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 indexesnoyesnonoall fields are automatically indexed
SQL infoSupport of SQLnonononoSQL-like query language
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
HTTP RESTRESTful HTTP APIgRPC
HTTP REST
WebSocket
Supported programming languagesGoC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Java
Scala
Server-side scripts infoStored proceduresnonononono
Triggersnonoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnoneyesSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication via Raftselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnono infoPlanned for future releasesnoRole based access control and fine grained access rights
More information provided by the system vendor
BoltDBDgraphHawkular MetricsMilvusNSDb
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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BoltDBDgraphHawkular MetricsMilvusNSDb
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