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DBMS > 4D vs. Apache Druid vs. RDF4J vs. YugabyteDB

System Properties Comparison 4D vs. Apache Druid vs. RDF4J vs. YugabyteDB

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Druid  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataRDF4J 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 DBMSRelational DBMS
Time Series DBMS
RDF storeRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.37
Rank#110  Overall
#54  Relational DBMS
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score0.72
Rank#222  Overall
#9  RDF stores
Score2.48
Rank#108  Overall
#53  Relational DBMS
Websitewww.4d.comdruid.apache.orgrdf4j.orgwww.yugabyte.com
Technical documentationdeveloper.4d.comdruid.apache.org/­docs/­latest/­designrdf4j.org/­documentationdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
Developer4D, IncApache Software Foundation and contributorsSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Yugabyte Inc.
Initial release1984201220042017
Current releasev20, April 202330.0.0, June 20242.19, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open 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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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 languageJavaJavaC and C++
Server operating systemsOS X
Windows
Linux
OS X
Unix
Linux
OS X
Unix
Windows
Linux
OS X
Data schemeyesyes infoschema-less columns are supportedyes 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.yesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL for queryingnoyes, PostgreSQL compatible
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
RESTful HTTP/JSON 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 languages4D proprietary IDE
PHP
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyesnoyesyes infosql, plpgsql, C
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basednoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, via HDFS, S3 or other storage enginesnoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID 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.nonono
User concepts infoAccess controlUsers and groupsRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoyes
More information provided by the system vendor
4D infoformer name: 4th DimensionApache DruidRDF4J infoformerly known as SesameYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
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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
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4D infoformer name: 4th DimensionApache DruidRDF4J infoformerly known as SesameYugabyteDB
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