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DBMS > LevelDB vs. OrigoDB vs. Sequoiadb vs. Tkrzw vs. XTDB

System Properties Comparison LevelDB vs. OrigoDB vs. Sequoiadb vs. Tkrzw vs. XTDB

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA fully ACID in-memory object graph databaseNewSQL database with distributed OLTP and SQLA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value storeDocument store
Object oriented DBMS
Document store
Relational DBMS
Key-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.33
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score0.42
Rank#263  Overall
#41  Document stores
#121  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Score0.13
Rank#330  Overall
#45  Document stores
Websitegithub.com/­google/­leveldborigodb.comwww.sequoiadb.comdbmx.net/­tkrzwgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdorigodb.com/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=indexwww.xtdb.com/­docs
DeveloperGoogleRobert Friberg et alSequoiadb Ltd.Mikio HirabayashiJuxt Ltd.
Initial release20112009 infounder the name LiveDB201320202019
Current release1.23, February 20210.9.3, August 20201.19, September 2021
License infoCommercial or Open SourceOpen Source infoBSDOpen SourceOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache Version 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#C++C++Clojure
Server operating systemsIllumos
Linux
OS X
Windows
Linux
Windows
LinuxLinux
macOS
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoUser defined using .NET types and collectionsyes infooid, date, timestamp, binary, regexnoyes, extensible-data-notation format
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 infocan be achieved using .NETnonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoSQL-like query languagenolimited SQL, making use of Apache Calcite
APIs and other access methods.NET Client API
HTTP API
LINQ
proprietary protocol using JSONHTTP REST
JDBC
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net.Net
C++
Java
PHP
Python
C++
Java
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresnoyesJavaScriptnono
Triggersnoyes infoDomain Eventsnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronizedShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynodepending on modelnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyes infoWrite ahead logyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing specific database classes
User concepts infoAccess controlnoRole based authorizationsimple password-based access controlno

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More resources
LevelDBOrigoDBSequoiadbTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetXTDB infoformerly named Crux
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