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DBMS > Amazon CloudSearch vs. KeyDB vs. Oracle Berkeley DB vs. Sqrrl

System Properties Comparison Amazon CloudSearch vs. KeyDB vs. Oracle Berkeley DB vs. Sqrrl

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonKeyDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsWidely used in-process key-value storeAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelSearch engineKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.70
Rank#229  Overall
#32  Key-value stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websiteaws.amazon.com/­cloudsearchgithub.com/­Snapchat/­KeyDB
keydb.dev
www.oracle.com/­database/­technologies/­related/­berkeleydb.htmlsqrrl.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.keydb.devdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAmazonEQ Alpha Technology Ltd.Oracle infooriginally developed by Sleepycat, which was acquired by OracleAmazon infooriginally Sqrrl Data, Inc.
Initial release2012201919942012
Current release18.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3Open Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, C++ (depending on the Berkeley DB edition)Java
Server operating systemshostedLinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesnoyes
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.noyes infoonly with the Berkeley DB XML edition
Secondary indexesyes infoall search fields are automatically indexedyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLnonoyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsHTTP APIProprietary protocol infoRESP - REdis Serialization ProtocoAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
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 infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoLuanono
Triggersnonoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlauthentication via encrypted signaturessimple password-based access control and ACLnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Amazon CloudSearchKeyDBOracle Berkeley DBSqrrl
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