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DBMS > Amazon CloudSearch vs. Atos Standard Common Repository vs. Cloudflare Workers KV vs. Firebase Realtime Database vs. Hawkular Metrics

System Properties Comparison Amazon CloudSearch vs. Atos Standard Common Repository vs. Cloudflare Workers KV vs. Firebase Realtime Database vs. Hawkular Metrics

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelSearch engineDocument store
Key-value store
Key-value storeDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.39
Rank#274  Overall
#39  Key-value stores
Score13.64
Rank#39  Overall
#6  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.cloudflare.com/­developer-platform/­workers-kvfirebase.google.com/­products/­realtime-databasewww.hawkular.org
Technical documentationdocs.aws.amazon.com/­cloudsearchdevelopers.cloudflare.com/­kv/­apifirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperAmazonAtos Convergence CreatorsCloudflareGoogle infoacquired by Google 2014Community supported by Red Hat
Initial release20122016201820122014
Current release1703
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemshostedLinuxhostedhostedLinux
OS X
Windows
Data schemeyesSchema and schema-less with LDAP viewsschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptionalnoyesyes
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.yesnonono
Secondary indexesyes infoall search fields are automatically indexedyesnoyesno
SQL infoSupport of SQLnonononono
APIs and other access methodsHTTP APILDAPHTTP REST
Proprietary protocol
Android
iOS
JavaScript API
RESTful HTTP API
HTTP REST
Supported programming languagesAll languages with LDAP bindingsC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Java
JavaScript
Objective-C
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresnononolimited functionality with using 'rules'no
TriggersnoyesnoCallbacks are triggered when data changesyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infocell divisionSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesyesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlauthentication via encrypted signaturesLDAP bind authenticationyes, based on authentication and database rulesno

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More resources
Amazon CloudSearchAtos Standard Common RepositoryCloudflare Workers KVFirebase Realtime DatabaseHawkular Metrics
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