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DBMS > AllegroGraph vs. Apache Pinot vs. Hawkular Metrics vs. NSDb vs. ReductStore

System Properties Comparison AllegroGraph vs. Apache Pinot vs. Hawkular Metrics vs. NSDb vs. ReductStore

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Pinot  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonNSDb  Xexclude from comparisonReductStore  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHawkular 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.
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSTime Series DBMSTime Series DBMSTime Series 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
#8  Vector DBMS
Score0.38
Rank#275  Overall
#126  Relational 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
Websiteallegrograph.compinot.apache.orgwww.hawkular.orgnsdb.iogithub.com/­reductstore
www.reduct.store
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.pinot.apache.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guidensdb.io/­Architecturewww.reduct.store/­docs
DeveloperFranz Inc.Apache Software Foundation and contributorsCommunity supported by Red HatReductStore LLC
Initial release20042015201420172023
Current release8.0, December 20231.0.0, September 20231.9, March 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoBusiness Source License 1.1
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 languageJavaJavaJava, ScalaC++, Rust
Server operating systemsLinux
OS X
Windows
All OS with a Java JDK11 or higherLinux
OS X
Windows
Linux
macOS
Docker
Linux
macOS
Windows
Data schemeyes infoRDF schemasyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes: 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.no infobulk load of XML files possiblenono
Secondary indexesyesnoall fields are automatically indexed
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languagenoSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
JDBCHTTP RESTgRPC
HTTP REST
WebSocket
HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Go
Java
Python
Go
Java
Python
Ruby
Java
Scala
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnono
Triggersyesyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioningSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationno
More information provided by the system vendor
AllegroGraphApache PinotHawkular MetricsNSDbReductStore
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
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