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DBMS > LevelDB vs. Microsoft Access vs. QuestDB vs. RDF4J vs. Sequoiadb

System Properties Comparison LevelDB vs. Microsoft Access vs. QuestDB vs. RDF4J vs. Sequoiadb

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQuestDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A 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 SQL
Primary database modelKey-value storeRelational DBMSTime Series DBMSRDF storeDocument store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#107  Overall
#19  Key-value stores
Score105.40
Rank#11  Overall
#8  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
Websitegithub.com/­google/­leveldbwww.microsoft.com/­en-us/­microsoft-365/­accessquestdb.iordf4j.orgwww.sequoiadb.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddeveloper.microsoft.com/­en-us/­accessquestdb.io/­docsrdf4j.org/­documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperGoogleMicrosoftQuestDB Technology IncSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Sequoiadb Ltd.
Initial release20111992201420042013
Current release1.23, February 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoBSDcommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java (Zero-GC), C++, RustJavaC++
Server operating systemsIllumos
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
macOS
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeyesyes infoschema-free via InfluxDB Line Protocolyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes 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.nonono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardSQL with time-series extensionsnoSQL-like query language
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
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 JSON
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Java
PHP
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-enginenoyesJavaScript
Triggersnoyes infosince Access 2010 using the ACE-enginenoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning (by timestamps)noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication with eventual consistencynoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingACID for single-table writesACID infoIsolation support depends on the API usedDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyes infobut no files for transaction loggingyesyes 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.yes infothrough memory mapped filesno
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003nosimple password-based access control
More information provided by the system vendor
LevelDBMicrosoft AccessQuestDBRDF4J infoformerly known as SesameSequoiadb
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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