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DBMS > Databend vs. LevelDB

System Properties Comparison Databend vs. LevelDB

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonLevelDB  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 values
Primary database modelRelational DBMSKey-value store
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
Websitegithub.com/­datafuselabs/­databend
www.databend.com
github.com/­google/­leveldb
Technical documentationdocs.databend.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperDatabend LabsGoogle
Initial release20212011
Current release1.0.59, April 20231.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC++
Server operating systemshosted
Linux
macOS
Illumos
Linux
OS X
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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 indexesnono
SQL infoSupport of SQLyesno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
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
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesno

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