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DBMS > atoti vs. LevelDB vs. RDF4J vs. ReductStore vs. Sequoiadb

System Properties Comparison atoti vs. LevelDB vs. RDF4J vs. ReductStore vs. Sequoiadb

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonLevelDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonReductStore  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.NewSQL database with distributed OLTP and SQL
Primary database modelObject oriented DBMSKey-value storeRDF storeTime Series DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websiteatoti.iogithub.com/­google/­leveldbrdf4j.orggithub.com/­reductstore
www.reduct.store
www.sequoiadb.com
Technical documentationdocs.atoti.iogithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdrdf4j.org/­documentationwww.reduct.store/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperActiveViamGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.ReductStore LLCSequoiadb Ltd.
Initial release2011200420232013
Current release1.23, February 20211.9, March 2024
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoBusiness Source License 1.1Open Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC++, RustC++
Server operating systemsIllumos
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Docker
Linux
macOS
Windows
Linux
Data schemeschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or datenoyesyes infooid, date, timestamp, binary, regex
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)nonoSQL-like query language
APIs and other access methodsJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP APIproprietary protocol using JSON
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
PHP
Python
C++
JavaScript (Node.js)
Python
Rust
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresPythonnoyesJavaScript
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnonosimple password-based access control

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More resources
atotiLevelDBRDF4J infoformerly known as SesameReductStoreSequoiadb
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