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DBMS > atoti vs. GreptimeDB vs. RDF4J

System Properties Comparison atoti vs. GreptimeDB vs. RDF4J

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGreptimeDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.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.
Primary database modelObject oriented DBMSTime Series DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websiteatoti.iogreptime.comrdf4j.org
Technical documentationdocs.atoti.iodocs.greptime.comrdf4j.org/­documentation
DeveloperActiveViamGreptime Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20222004
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRustJava
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Unix
Windows
Data schemeschema-free, schema definition possibleyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesno
APIs and other access methodsgRPC
HTTP API
JDBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC++
Erlang
Go
Java
JavaScript
Java
PHP
Python
Server-side scripts infoStored proceduresPythonPythonyes
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlSimple rights management via user accountsno
More information provided by the system vendor
atotiGreptimeDBRDF4J infoformerly known as Sesame
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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More resources
atotiGreptimeDBRDF4J infoformerly known as Sesame
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