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DBMS > Amazon CloudSearch vs. Badger vs. BigchainDB vs. EJDB vs. GigaSpaces

System Properties Comparison Amazon CloudSearch vs. Badger vs. BigchainDB vs. EJDB vs. GigaSpaces

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonEJDB  Xexclude from comparisonGigaSpaces  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsEmbeddable document-store database library with JSON representation of queries (in MongoDB style)High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelSearch engineKey-value storeDocument storeDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.74
Rank#133  Overall
#12  Search engines
Score0.18
Rank#314  Overall
#45  Key-value stores
Score0.76
Rank#213  Overall
#35  Document stores
Score0.16
Rank#324  Overall
#45  Document stores
Score0.94
Rank#194  Overall
#33  Document stores
#7  Object oriented DBMS
Websiteaws.amazon.com/­cloudsearchgithub.com/­dgraph-io/­badgerwww.bigchaindb.comgithub.com/­Softmotions/­ejdbwww.gigaspaces.com
Technical documentationdocs.aws.amazon.com/­cloudsearchgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.gigaspaces.com/­latest/­landing.html
DeveloperAmazonDGraph LabsSoftmotionsGigaspaces Technologies
Initial release20122017201620122000
Current release15.5, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL v3Open Source infoGPLv2Open Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoPythonCJava, C++, .Net
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
Linuxserver-lessLinux
macOS
Solaris
Windows
Data schemeyesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnonoyes infostring, integer, double, bool, date, object_idyes
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.nonono infoXML can be used for describing objects metadata
Secondary indexesyes infoall search fields are automatically indexednonoyes
SQL infoSupport of SQLnonononoSQL-99 for query and DML statements
APIs and other access methodsHTTP APICLI Client
RESTful HTTP API
in-process shared libraryGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesGoGo
Haskell
Java
JavaScript
Python
Ruby
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresnononoyes
Triggersnononoyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnoneselectable replication factornoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynononono infotypically not needed, however similar functionality with collection joins possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoRead/Write Lockingyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlauthentication via encrypted signaturesnoyesnoRole-based access control

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More resources
Amazon CloudSearchBadgerBigchainDBEJDBGigaSpaces
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