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DBMS > Amazon CloudSearch vs. HarperDB vs. Valentina Server vs. Vitess

System Properties Comparison Amazon CloudSearch vs. HarperDB vs. Valentina Server vs. Vitess

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonHarperDB  Xexclude from comparisonValentina Server  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudUltra-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.Object-relational database and reports serverScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelSearch engineDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.60
Rank#244  Overall
#38  Document stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.harperdb.iowww.valentina-db.netvitess.io
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.harperdb.io/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpvitess.io/­docs
DeveloperAmazonHarperDBParadigma SoftwareThe Linux Foundation, PlanetScale
Initial release2012201719992013
Current release3.1, August 20215.7.515.0.2, December 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Source infoApache Version 2.0, commercial licenses available
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 languageNode.jsGo
Server operating systemshostedLinux
OS X
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesdynamic schemayesyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes
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.no
Secondary indexesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsyesyes infowith proprietary extensions
APIs and other access methodsHTTP APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ODBCADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.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
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1yesyes infoproprietary syntax
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredA 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 AWSyes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon CloudSearchHarperDBValentina ServerVitess
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