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

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

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDatomic  Xexclude from comparisonLevelDB  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 valuesScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteaws.amazon.com/­neptunewww.datomic.comgithub.com/­google/­leveldbnsdb.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.datomic.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdnsdb.io/­Architecture
DeveloperAmazonCognitectGoogle
Initial release2017201220112017
Current release1.0.6735, June 20231.23, February 2021
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoBSDOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++Java, Scala
Server operating systemshostedAll OS with a Java VMIllumos
Linux
OS X
Windows
Linux
macOS
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyes: 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.nononono
Secondary indexesnoyesnoall fields are automatically indexed
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful 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
Java
Scala
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnono
TriggersnoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersnoneSharding
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 methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 writesUsing 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 development
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nono

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More resources
Amazon NeptuneDatomicLevelDBNSDb
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