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DBMS > Amazon CloudSearch vs. Bangdb vs. Hawkular Metrics vs. Hive vs. Warp 10

System Properties Comparison Amazon CloudSearch vs. Bangdb vs. Hawkular Metrics vs. Hive vs. Warp 10

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBangdb  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHive  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudConverged and high performance database for device data, events, time series, document and graphHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.data warehouse software for querying and managing large distributed datasets, built on HadoopTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelSearch engineDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchbangdb.comwww.hawkular.orghive.apache.orgwww.warp10.io
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.bangdb.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecwiki.apache.org/­confluence/­display/­Hive/­Homewww.warp10.io/­content/­02_Getting_started
DeveloperAmazonSachin Sinha, BangDBCommunity supported by Red HatApache Software Foundation infoinitially developed by FacebookSenX
Initial release20122012201420122015
Current releaseBangDB 2.0, October 20213.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoApache 2.0Open Source infoApache Version 2Open Source infoApache License 2.0
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 languageC, C++JavaJavaJava
Server operating systemshostedLinuxLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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
Secondary indexesyes infoall search fields are automatically indexedyes infosecondary, composite, nested, reverse, geospatialnoyesno
SQL infoSupport of SQLnoSQL like support with command line toolnoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP APIProprietary protocol
RESTful HTTP API
HTTP RESTJDBC
ODBC
Thrift
HTTP API
Jupyter
WebSocket
Supported programming languagesC
C#
C++
Java
Python
Go
Java
Python
Ruby
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnononoyes infouser defined functions and integration of map-reduceyes infoWarpScript
Triggersnoyes, Notifications (with Streaming only)yes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infobased on CassandraShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factor, Knob for CAP (enterprise version only)selectable replication factor infobased on Cassandraselectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenoyes
User concepts infoAccess controlauthentication via encrypted signaturesyes (enterprise version only)noAccess rights for users, groups and rolesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Amazon CloudSearchBangdbHawkular MetricsHiveWarp 10
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