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DBMS > Hazelcast vs. Newts vs. RDF4J vs. YugabyteDB

System Properties Comparison Hazelcast vs. Newts vs. RDF4J vs. YugabyteDB

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonNewts  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionA widely adopted in-memory data gridTime Series DBMS based on CassandraRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelKey-value storeTime Series DBMSRDF storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitehazelcast.comopennms.github.io/­newtsrdf4j.orgwww.yugabyte.com
Technical documentationhazelcast.org/­imdg/­docsgithub.com/­OpenNMS/­newts/­wikirdf4j.org/­documentationdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperHazelcastOpenNMS GroupSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Yugabyte Inc.
Initial release2008201420042017
Current release5.3.6, November 20232.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC and C++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Data schemeschema-freeschema-freeyes infoRDF Schemasdepending on used data model
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.yes infothe object must implement a serialization strategynono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query languagenonoyes, PostgreSQL compatible
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
HTTP REST
Java API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaJava
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnoyesyes infosql, plpgsql, C
Triggersyes infoEventsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandranoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapselectable replication factor infobased on CassandranoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Strong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACID infoIsolation support depends on the API usedDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlRole-based access controlnonoyes
More information provided by the system vendor
HazelcastNewtsRDF4J infoformerly known as SesameYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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HazelcastNewtsRDF4J infoformerly known as SesameYugabyteDB
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