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DBMS > Databend vs. LevelDB vs. Sequoiadb vs. SpatiaLite

System Properties Comparison Databend vs. LevelDB vs. Sequoiadb vs. SpatiaLite

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonLevelDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesNewSQL database with distributed OLTP and SQLSpatial extension of SQLite
Primary database modelRelational DBMSKey-value storeDocument store
Relational DBMS
Spatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
github.com/­google/­leveldbwww.sequoiadb.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.databend.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.sequoiadb.com/­en/­index.php?m=Files&a=indexwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperDatabend LabsGoogleSequoiadb Ltd.Alessandro Furieri
Initial release2021201120132008
Current release1.0.59, April 20231.23, February 20215.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSDOpen Source infoServer: AGPL; Client: Apache V2Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC++C++C++
Server operating systemshosted
Linux
macOS
Illumos
Linux
OS X
Windows
Linuxserver-less
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes infooid, date, timestamp, binary, regexyes
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.nononono
Secondary indexesnonoyesyes
SQL infoSupport of SQLyesnoSQL-like query languageyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnonoJavaScriptno
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnosimple password-based access controlno

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More resources
DatabendLevelDBSequoiadbSpatiaLite
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