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DBMS > Amazon CloudSearch vs. FeatureBase vs. Hawkular Metrics vs. Linter vs. Microsoft Azure Table Storage

System Properties Comparison Amazon CloudSearch vs. FeatureBase vs. Hawkular Metrics vs. Linter vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFeatureBase  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLinter  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.RDBMS for high security requirementsA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelSearch engineRelational DBMSTime Series DBMSRelational DBMSWide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websiteaws.amazon.com/­cloudsearchwww.featurebase.comwww.hawkular.orglinter.ruazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.featurebase.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperAmazonMolecula and Pilosa Open Source ContributorsCommunity supported by Red Hatrelex.ruMicrosoft
Initial release20122017201419902012
Current release2022, May 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC and C++
Server operating systemshostedLinux
macOS
Linux
OS X
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hosted
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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
Secondary indexesyes infoall search fields are automatically indexednonoyesno
SQL infoSupport of SQLnoSQL queriesnoyesno
APIs and other access methodsHTTP APIgRPC
JDBC
Kafka Connector
ODBC
HTTP RESTADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP API
Supported programming languagesJava
Python
Go
Java
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersnonoyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding infobased on CassandranoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesselectable replication factor infobased on CassandraSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyesyes
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 signaturesnofine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signatures

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More resources
Amazon CloudSearchFeatureBaseHawkular MetricsLinterMicrosoft Azure Table Storage
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