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DBMS > Amazon CloudSearch vs. Databend vs. HarperDB vs. Hive

System Properties Comparison Amazon CloudSearch vs. Databend vs. HarperDB vs. Hive

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDatabend  Xexclude from comparisonHarperDB  Xexclude from comparisonHive  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.data warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelSearch engineRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websiteaws.amazon.com/­cloudsearchgithub.com/­datafuselabs/­databend
www.databend.com
www.harperdb.iohive.apache.org
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.databend.comdocs.harperdb.io/­docscwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAmazonDatabend LabsHarperDBApache Software Foundation infoinitially developed by Facebook
Initial release2012202120172012
Current release1.0.59, April 20233.1, August 20213.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree community edition availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustNode.jsJava
Server operating systemshostedhosted
Linux
macOS
Linux
OS X
All OS with a Java VM
Data schemeyesyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes
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 indexesyes infoall search fields are automatically indexednoyesyes
SQL infoSupport of SQLnoyesSQL-like data manipulation statementsSQL-like DML and DDL statements
APIs and other access methodsHTTP APICLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnonoCustom Functions infosince release 3.1yes infouser defined functions and integration of map-reduce
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnoneyes infothe nodes on which a table resides can be definedselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlauthentication via encrypted signaturesUsers with fine-grained authorization concept, user rolesAccess rights for users and rolesAccess rights for users, groups and roles

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More resources
Amazon CloudSearchDatabendHarperDBHive
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