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DBMS > EXASOL vs. GreptimeDB vs. RDF4J vs. Rockset vs. Valentina Server

System Properties Comparison EXASOL vs. GreptimeDB vs. RDF4J vs. Rockset vs. Valentina Server

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGreptimeDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRockset  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.An open source Time Series DBMS built for increased scalability, high performance and efficiencyRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A scalable, reliable search and analytics service in the cloud, built on RocksDBObject-relational database and reports server
Primary database modelRelational DBMSTime Series DBMSRDF storeDocument storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.79
Rank#211  Overall
#35  Document stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.exasol.comgreptime.comrdf4j.orgrockset.comwww.valentina-db.net
Technical documentationwww.exasol.com/­resourcesdocs.greptime.comrdf4j.org/­documentationdocs.rockset.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperExasolGreptime Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.RocksetParadigma Software
Initial release20002022200420191999
Current release5.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoEclipse Distribution License (EDL), v1.0.commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJavaC++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Unix
Windows
hostedLinux
OS X
Windows
Data schemeyesschema-free, schema definition possibleyes infoRDF Schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesdynamic typingyes
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 infoingestion from XML files supported
Secondary indexesyesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLyesyesnoRead-only SQL queries, including JOINsyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
gRPC
HTTP API
JDBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP RESTODBC
Supported programming languagesJava
Lua
Python
R
C++
Erlang
Go
Java
JavaScript
Java
PHP
Python
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsPythonyesnoyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardSimple rights management via user accountsnoAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standard
More information provided by the system vendor
EXASOLGreptimeDBRDF4J infoformerly known as SesameRocksetValentina Server
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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EXASOLGreptimeDBRDF4J infoformerly known as SesameRocksetValentina Server
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