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DBMS > AnzoGraph DB vs. IRONdb vs. RDF4J vs. ScyllaDB

System Properties Comparison AnzoGraph DB vs. IRONdb vs. RDF4J vs. ScyllaDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonScyllaDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Cassandra and DynamoDB compatible wide column store
Primary database modelGraph DBMS
RDF store
Time Series DBMSRDF storeWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitecambridgesemantics.com/­anzographwww.circonus.com/solutions/time-series-database/rdf4j.orgwww.scylladb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentationdocs.scylladb.com
DeveloperCambridge SemanticsCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.ScyllaDB
Initial release2018201720042015
Current release2.3, January 2021V0.10.20, January 2018ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaC++
Server operating systemsLinuxLinuxLinux
OS X
Unix
Windows
Linux
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyes
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.nonono
Secondary indexesnonoyesyes infocluster global secondary indices
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like query language (Circonus Analytics Query Language: CAQL)noSQL-like DML and DDL statements (CQL)
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC++
Java
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes, in Luayesyes, Lua
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingAutomatic, metric affinity per nodenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterconfigurable replication factor, datacenter awarenoneselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate consistency per node, eventual consistency across nodesEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityno infonot needed in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API usedno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoin-memory tables
User concepts infoAccess controlAccess rights for users and rolesnonoAccess rights for users can be defined per object
More information provided by the system vendor
AnzoGraph DBIRONdbRDF4J infoformerly known as SesameScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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AnzoGraph DBIRONdbRDF4J infoformerly known as SesameScyllaDB
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