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DBMS > LevelDB vs. MonetDB vs. RavenDB vs. Sequoiadb

System Properties Comparison LevelDB vs. MonetDB vs. RavenDB vs. Sequoiadb

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonMonetDB  Xexclude from comparisonRavenDB  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA relational database management system that stores data in columnsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseNewSQL database with distributed OLTP and SQL
Primary database modelKey-value storeRelational DBMSDocument storeDocument store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.32
Rank#100  Overall
#16  Key-value stores
Score1.78
Rank#149  Overall
#69  Relational DBMS
Score3.47
Rank#95  Overall
#16  Document stores
Score0.50
Rank#264  Overall
#42  Document stores
#121  Relational DBMS
Websitegithub.com/­google/­leveldbwww.monetdb.orgravendb.netwww.sequoiadb.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.monetdb.org/­Documentationravendb.net/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperGoogleMonetDB BVHibernating RhinosSequoiadb Ltd.
Initial release2011200420102013
Current release1.23, February 2021Dec2023 (11.49), December 20235.4, July 2022
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoMozilla Public License 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC#C++
Server operating systemsIllumos
Linux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnoyes 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 indexesnoyesyesyes
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsSQL-like query language (RQL)SQL-like query language
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes, in SQL, C, RyesJavaScript
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding via remote tablesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoSource-replica replication available in experimental statusMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availableDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnofine grained access rights according to SQL-standardAuthorization levels configured per client per databasesimple password-based access control

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LevelDBMonetDBRavenDBSequoiadb
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