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DBMS > Hive vs. QuestDB vs. RDF4J vs. Sequoiadb vs. TinkerGraph

System Properties Comparison Hive vs. QuestDB vs. RDF4J vs. Sequoiadb vs. TinkerGraph

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonQuestDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSequoiadb  Xexclude from comparisonTinkerGraph  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA high performance open source SQL database for time series dataRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.NewSQL database with distributed OLTP and SQLA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSTime Series DBMSRDF storeDocument store
Relational DBMS
Graph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Score0.48
Rank#260  Overall
#41  Document stores
#121  Relational DBMS
Score0.12
Rank#344  Overall
#34  Graph DBMS
Websitehive.apache.orgquestdb.iordf4j.orgwww.sequoiadb.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homequestdb.io/­docsrdf4j.org/­documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software Foundation infoinitially developed by FacebookQuestDB Technology IncSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Sequoiadb Ltd.
Initial release20122014200420132009
Current release3.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava (Zero-GC), C++, RustJavaC++Java
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeyesyes infoschema-free via InfluxDB Line Protocolyes infoRDF Schemasschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regexyes
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 indexesyesnoyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL with time-series extensionsnoSQL-like query languageno
APIs and other access methodsJDBC
ODBC
Thrift
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
proprietary protocol using JSONTinkerPop 3
Supported programming languagesC++
Java
PHP
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Java
PHP
Python
.Net
C++
Java
PHP
Python
Groovy
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesJavaScriptno
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)noneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication with eventual consistencynoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesACID infoIsolation support depends on the API usedDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesnoyes
User concepts infoAccess controlAccess rights for users, groups and rolesnosimple password-based access controlno
More information provided by the system vendor
HiveQuestDBRDF4J infoformerly known as SesameSequoiadbTinkerGraph
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
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