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

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

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonArcadeDB  Xexclude from comparisonBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonGigaSpaces  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelSearch engineDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Key-value 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
Score1.81
Rank#137  Overall
#12  Search engines
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Websiteaws.amazon.com/­cloudsearcharcadedb.comgithub.com/­dgraph-io/­badgerwww.bigchaindb.comwww.gigaspaces.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.arcadedb.comgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestdocs.gigaspaces.com/­latest/­landing.html
DeveloperAmazonArcade DataDGraph LabsGigaspaces Technologies
Initial release20122021201720162000
Current releaseSeptember 202115.5, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoAGPL v3Open 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 languageJavaGoPythonJava, C++, .Net
Server operating systemshostedAll OS with a Java VMBSD
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
Solaris
Windows
Data schemeyesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnonoyes
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.nononono infoXML can be used for describing objects metadata
Secondary indexesyes infoall search fields are automatically indexedyesnoyes
SQL infoSupport of SQLnoSQL-like query language, no joinsnonoSQL-99 for query and DML statements
APIs and other access methodsHTTP APIJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
CLI Client
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesJavaGoGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationnoneselectable replication factorMulti-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 systemImmediate ConsistencynoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynoyes inforelationship in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes,with MongoDB ord RethinkDByes
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 signaturesnoyesRole-based access control

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More resources
Amazon CloudSearchArcadeDBBadgerBigchainDBGigaSpaces
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