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

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

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDatomic  Xexclude from comparisonSingleStore infoformer name was MemSQL  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 durabilityMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Time 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
Score7.04
Rank#61  Overall
#36  Relational DBMS
Websiteaws.amazon.com/­neptunewww.datomic.comwww.singlestore.comtempoiq.com (offline)
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.datomic.comdocs.singlestore.com
DeveloperAmazonCognitectSingleStore Inc.TempoIQ
Initial release2017201220132012
Current release1.0.6362, January 20227.6, November 2021
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial infofree developer edition availablecommercial
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.
SingleStore Managed Service: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJava, ClojureC++, Go
Server operating systemshostedAll OS with a Java VMLinux info64 bit version required
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesyes
SQL infoSupport of SQLnonoyes infobut no triggers and foreign keysno
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
RESTful HTTP APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
ODBC
HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Clojure
Java
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyesno
TriggersnoBy using transaction functionsnoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersSharding infohash partitioning
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 peersSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
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)noFine grained access control via users, groups and rolessimple authentication-based access control
More information provided by the system vendor
Amazon NeptuneDatomicSingleStore infoformer name was MemSQLTempoIQ infoformerly TempoDB
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
Amazon NeptuneDatomicSingleStore infoformer name was MemSQLTempoIQ infoformerly TempoDB
DB-Engines blog posts

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

show all

Conferences and events

The Future of Data Management
Webinar, 09:30AM PDT, 17 May 2022

Recent citations in the news

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

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

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

Catching up with Amazon Neptune
26 November 2019, ZDNet

Why are graph databases beginning to take off? -
6 May 2022, Enterprise Times

provided by Google News

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

SingleStore Leads Database Industry With Four Top Rated 2022 Awards From TrustRadius
12 May 2022, Business Wire

SingleStore will measure your app's 'data intensity' – Blocks and Files
25 April 2022, Blocks and Files

Storage facing trillion-row database apocalypse – Blocks and Files
28 April 2022, Blocks and Files

Bottomless Storage and Pipeline: The Quest for a New Database Paradigm
20 April 2022, Dataconomy

Tech Startups to Watch in 2022
18 April 2022, Database Trends and Applications

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Cloud Computing in Industrial IoT Market Size by Consumption Analysis, Developments and Trends, Growth Forecast, Regions, Type, Manufacturers, and Application
10 May 2022, Digital Journal

provided by Google News

Job opportunities

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