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DBMS > Amazon Neptune vs. Datomic vs. LevelDB vs. Milvus vs. NSDb

System Properties Comparison Amazon Neptune vs. Datomic vs. LevelDB vs. Milvus vs. NSDb

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDatomic  Xexclude from comparisonLevelDB  Xexclude from comparisonMilvus  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA 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 modelGraph DBMS
RDF store
Relational DBMSKey-value storeVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websiteaws.amazon.com/­neptunewww.datomic.comgithub.com/­google/­leveldbmilvus.ionsdb.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.datomic.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdmilvus.io/­docs/­overview.mdnsdb.io/­Architecture
DeveloperAmazonCognitectGoogle
Initial release20172012201120192017
Current release1.0.7075, December 20231.23, February 20212.3.4, January 2024
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoBSDOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
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 languageJava, ClojureC++C++, GoJava, Scala
Server operating systemshostedAll OS with a Java VMIllumos
Linux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoVector, 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 methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIRESTful HTTP APIgRPC
HTTP REST
WebSocket
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Clojure
Java
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Go
Java
JavaScript (Node.js)
Python
Java
Scala
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnonono
TriggersnoBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.none infoBut extensive use of caching in the application peersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infowith automatic compression on writesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nonoRole based access control and fine grained access rights
More information provided by the system vendor
Amazon NeptuneDatomicLevelDBMilvusNSDb
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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Amazon NeptuneDatomicLevelDBMilvusNSDb
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