DB-EnginesExtremeDB: the mission critical dbmsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon Neptune vs. QuestDB vs. RDF4J

System Properties Comparison Amazon Neptune vs. QuestDB vs. RDF4J

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonQuestDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA high performance open source SQL database for time series dataRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelGraph DBMS
RDF store
Time Series DBMSRDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.82
Rank#107  Overall
#6  Graph DBMS
#4  RDF stores
Score1.24
Rank#155  Overall
#12  Time Series DBMS
Score0.74
Rank#206  Overall
#9  RDF stores
Websiteaws.amazon.com/­neptunequestdb.iordf4j.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesquestdb.io/­docs/­introductionrdf4j.org/­documentation
DeveloperAmazonQuestDB LimitedSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201720142004
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemshostedLinux
macOS
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesnonoyes
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasConfigurable consistency for N replicasnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no
More information provided by the system vendor
Amazon NeptuneQuestDBRDF4J infoformerly known as Sesame
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsApache 2.0.
» more
News

Time Series Forecasting with TensorFlow and QuestDB
20 June 2022

Building a Data Pipeline using QuestDB and Confluent Kafka
7 June 2022

QuestDB 6.4 Release Highlights
31 May 2022

4Bn rows/sec query benchmark: Clickhouse vs QuestDB vs Timescale
26 May 2022

How to build a real-time crypto tracker with Redpanda and QuestDB
25 May 2022

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon NeptuneQuestDBRDF4J infoformerly known as Sesame
Recent citations in the news

Data-as-a-Service Market: 47.21% YOY growth achieved in 2021 | Driven by growing amount of data | Technavio
25 June 2022, PR Newswire

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

Catching up with Amazon Neptune
26 November 2019, ZDNet

Amazon Neptune
22 March 2022, TechTarget

provided by Google News

QuestDB snares $12M Series A with hosted version coming soon
3 November 2021, TechCrunch

Read the Pitch Deck Database Startup QuestDB Used to Raise $12 Million
11 November 2021, Business Insider

Build a Real-time Stock Price Dashboard With Python, QuestDB and Plotly
6 November 2021, hackernoon.com

QuestDB nabs $2.3M seed to build open source time series database
2 July 2020, TechCrunch

Time Series Databases Software Market Size, Scope and Forecast | InfluxDB, Kx Systems Inc., Prometheus, Amazon Web Service (AWS), Google, LLC, DataStax, SenX SAS, Trendalyze, QuasarDB – Designer Women
23 June 2022, Designer Women

provided by Google News

Job opportunities

Amazon Neptune - Software Dev Engineer
Amazon Web Services, Inc., Bellevue, WA

Platform Engineer-62300J
ADP, New York, NY

Product Manager - Technical, Amazon Neptune
Amazon Dev Center U.S., Inc., Seattle, WA

Software Dev Engineer - Amazon Neptune Platform
Amazon Dev Center U.S., Inc., Seattle, WA

Software Development Engineer, Customer Privacy
Amazon.com Services LLC, United States

Principal Database Systems Engineer
Hydra, Remote

Ex-Founder (Design your role)
Hydra, Remote

Principal Database Systems Engineer
Hydra, Austin, TX

Principal Database Systems Engineer
Hydra, San Francisco, CA

Ex-Founder (Design your role)
Hydra, San Francisco, CA

Ontologist
Johns Hopkins Applied Physics Laboratory, Laurel, MD

Data Discovery Developer - Scientific Computing & Data
Mount Sinai, New York, NY

jobs by Indeed



Share this page

Featured Products

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Redis logo

The world’s most loved real‑time data platform.
Try free

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

Present your product here