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DBMS > Databend vs. etcd vs. JaguarDB vs. LevelDB vs. Sequoiadb

System Properties Comparison Databend vs. etcd vs. JaguarDB vs. LevelDB vs. Sequoiadb

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonetcd  Xexclude from comparisonJaguarDB  Xexclude from comparisonLevelDB  Xexclude from comparisonSequoiadb  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 complexityA distributed reliable key-value storePerformant, highly scalable DBMS for AI and IoT applicationsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSKey-value storeKey-value store
Vector DBMS
Key-value storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
etcd.io
github.com/­etcd-io/­etcd
www.jaguardb.comgithub.com/­google/­leveldbwww.sequoiadb.com
Technical documentationdocs.databend.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.jaguardb.com/­support.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperDatabend LabsDataJaguar, Inc.GoogleSequoiadb Ltd.
Initial release2021201520112013
Current release1.0.59, April 20233.4, August 20193.3 July 20231.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGPL V3.0Open Source infoBSDOpen 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 languageRustGoC++ infothe server part. Clients available in other languagesC++C++
Server operating systemshosted
Linux
macOS
FreeBSD
Linux
Windows infoexperimental
LinuxIllumos
Linux
OS X
Windows
Linux
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesnoyes 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.nonononono
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLyesnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoSQL-like query language
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
gRPC
JSON over HTTP
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
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 proceduresnonononoJavaScript
Triggersnoyes, watching key changesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnononoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnorights management via user accountsnosimple password-based access control

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More resources
DatabendetcdJaguarDBLevelDBSequoiadb
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