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DBMS > Databend vs. HyperSQL vs. JaguarDB vs. KeyDB vs. Microsoft Azure Table Storage

System Properties Comparison Databend vs. HyperSQL vs. JaguarDB vs. KeyDB vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonKeyDB  Xexclude from comparisonMicrosoft Azure Table Storage  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 complexityMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBPerformant, highly scalable DBMS for AI and IoT applicationsAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSRelational DBMSKey-value store
Vector DBMS
Key-value storeWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
hsqldb.orgwww.jaguardb.comgithub.com/­Snapchat/­KeyDB
keydb.dev
azure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdocs.databend.comhsqldb.org/­web/­hsqlDocsFrame.htmlwww.jaguardb.com/­support.htmldocs.keydb.dev
DeveloperDatabend LabsDataJaguar, Inc.EQ Alpha Technology Ltd.Microsoft
Initial release20212001201520192012
Current release1.0.59, April 20232.7.2, June 20233.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infobased on BSD licenseOpen Source infoGPL V3.0Open Source infoBSD-3commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJavaC++ infothe server part. Clients available in other languagesC++
Server operating systemshosted
Linux
macOS
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinuxLinuxhosted
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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 indexesnoyesyesyes infoby using the Redis Search moduleno
SQL infoSupport of SQLyesyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnono
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
All languages supporting JDBC/ODBC
Java
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoJava, SQLnoLuano
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replicationMulti-source replication
Source-replica replication
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoOptimistic locking, atomic execution of commands blocks and scriptsoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardrights management via user accountssimple password-based access control and ACLAccess rights based on private key authentication or shared access signatures

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More resources
DatabendHyperSQL infoalso known as HSQLDBJaguarDBKeyDBMicrosoft Azure Table Storage
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