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DBMS > FeatureBase vs. Hawkular Metrics vs. RDF4J vs. YugabyteDB

System Properties Comparison FeatureBase vs. Hawkular Metrics vs. RDF4J vs. YugabyteDB

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.RDF4J 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 modelRelational DBMSTime Series DBMSRDF storeRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitewww.featurebase.comwww.hawkular.orgrdf4j.orgwww.yugabyte.com
Technical documentationdocs.featurebase.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guiderdf4j.org/­documentationdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperMolecula and Pilosa Open Source ContributorsCommunity supported by Red HatSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Yugabyte Inc.
Initial release2017201420042017
Current release2022, May 20222.19, September 2023
License infoCommercial or Open SourcecommercialOpen 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

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageGoJavaJavaC and C++
Server operating systemsLinux
macOS
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Data schemeyesschema-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.nonono
Secondary indexesnonoyesyes
SQL infoSupport of SQLSQL queriesnonoyes, PostgreSQL compatible
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
HTTP RESTJava 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 languagesJava
Python
Go
Java
Python
Ruby
Java
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoyesyes infosql, plpgsql, C
Triggersnoyes infovia Hawkular Alertingyesyes
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 nodesyesselectable 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 methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Strong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID 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 persistentyes, using Linux fsyncyesyes 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 controlnonoyes
More information provided by the system vendor
FeatureBaseHawkular MetricsRDF4J 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....
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Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
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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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FeatureBaseHawkular MetricsRDF4J infoformerly known as SesameYugabyteDB
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