DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > AllegroGraph vs. Hawkular Metrics vs. NSDb vs. ReductStore vs. TinkerGraph

System Properties Comparison AllegroGraph vs. Hawkular Metrics vs. NSDb vs. ReductStore vs. TinkerGraph

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonNSDb  Xexclude from comparisonReductStore  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Time Series DBMSTime Series DBMSTime Series DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websiteallegrograph.comwww.hawkular.orgnsdb.iogithub.com/­reductstore
www.reduct.store
tinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidensdb.io/­Architecturewww.reduct.store/­docs
DeveloperFranz Inc.Community supported by Red HatReductStore LLC
Initial release20042014201720232009
Current release8.0, December 20231.9, March 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoBusiness Source License 1.1Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ScalaC++, RustJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
macOS
Docker
Linux
macOS
Windows
Data schemeyes infoRDF schemasschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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.no infobulk load of XML files possiblenonono
Secondary indexesyesnoall fields are automatically indexedno
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like query languageno
APIs and other access methodsRESTful HTTP API
SPARQL
HTTP RESTgRPC
HTTP REST
WebSocket
HTTP APITinkerPop 3
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Go
Java
Python
Ruby
Java
Scala
C++
JavaScript (Node.js)
Python
Rust
Groovy
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnonono
Triggersyesyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infobased on CassandraShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistencynone
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesUsing Apache Luceneoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnono
More information provided by the system vendor
AllegroGraphHawkular MetricsNSDbReductStoreTinkerGraph
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
News

How a Neuro-Symbolic AI Approach Can Improve Trust in AI Apps
23 May 2024

Can Neuro-Symbolic AI Solve AI’s Weaknesses?
17 April 2024

100 Companies That Matter in KM – Franz Inc.
3 April 2024

Exploring AllegroGraph v8 – Unleashing the Power of Neuro-Symbolic AI (Recorded Webinar)
9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

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
AllegroGraphHawkular MetricsNSDbReductStoreTinkerGraph
Recent citations in the news

Q&A: Can Neuro-Symbolic AI Solve AI’s Weaknesses?
8 April 2024, TDWI

AI predictions for 2024 unveil exciting technological horizons
21 November 2023, Wire19

Neuro-Symbolic AI: The Peak of Artificial Intelligence
16 November 2021, AiThority

The Foundation of Data Fabrics and AI: Semantic Knowledge Graphs - DataScienceCentral.com
19 May 2022, Data Science Central

Franz Releases the First Neuro-Symbolic AI Platform Merging Knowledge Graphs, Generative AI, and Vector Storage
11 December 2023, Datanami

provided by Google News

Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS
5 June 2019, DevClass

provided by Google News

Why developers like Apache TinkerPop, an open source framework for graph computing | Amazon Web Services
27 September 2021, AWS Blog

Introducing Gremlin query hints for Amazon Neptune
26 February 2019, AWS Blog

InfiniteGraph Gets Support for Common Graph Database Language and More
21 February 2012, SiliconANGLE News

provided by Google News



Share this page

Featured Products

Neo4j logo

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

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here