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DBMS > Amazon Neptune vs. Datomic vs. RocksDB vs. TempoIQ

System Properties Comparison Amazon Neptune vs. Datomic vs. RocksDB vs. TempoIQ

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDatomic  Xexclude from comparisonRocksDB  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Scalable analytics DBMS for sensor data, provided as a service (SaaS)
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
Score2.82
Rank#108  Overall
#6  Graph DBMS
#4  RDF stores
Score1.70
Rank#138  Overall
#68  Relational DBMS
Score3.91
Rank#89  Overall
#15  Key-value stores
Websiteaws.amazon.com/­neptunewww.datomic.comrocksdb.orgtempoiq.com (offline)
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.datomic.comgithub.com/­facebook/­rocksdb/­wiki
DeveloperAmazonCognitectFacebook, Inc.TempoIQ
Initial release2017201220132012
Current release1.0.6362, January 20227.1.1, April 2022
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++
Server operating systemshostedAll OS with a Java VM
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesnoyesno
SQL infoSupport of SQLnononono
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
RESTful HTTP APIC++ API
Java API
HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Clojure
Java
C++
Java
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnono
TriggersnoBy using transaction functionsnoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasnone 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 Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesno
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)yesyes
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 developmentyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nonosimple authentication-based access control

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More resources
Amazon NeptuneDatomicRocksDBTempoIQ infoformerly TempoDB
Recent citations in the news

Amazon Neptune update: Machine learning, data science, and the future of graph databases
30 July 2021, ZDNet

Here’s how you can predict graphs accurately, quickly, and securely with Amazon Neptune
2 November 2021, YourStory

Time-series Databases, Graph Databases, Kafka
9 May 2022, Security Boulevard

Catching up with Amazon Neptune
26 November 2019, ZDNet

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The Datomic Information Model
1 February 2013, InfoQ.com

The Architecture of Datomic
2 November 2012, InfoQ.com

Rich Hickey on Datomic: Datalog, Databases, Persistent Data Structures
4 April 2012, InfoQ.com

Lucas Cavalcanti on Using Clojure, Microservices, Hexagonal Architecture and Public Cloud at Nubank
16 August 2021, InfoQ.com

Rich Hickey on Datomic, CAP and ACID
21 January 2013, InfoQ.com

provided by Google News

Did Rockset Just Solve Real-Time Analytics?
25 August 2021, Datanami

provided by Google News

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