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DBMS > Amazon DocumentDB vs. Hawkular Metrics vs. Microsoft Azure Table Storage vs. Sadas Engine vs. Warp 10

System Properties Comparison Amazon DocumentDB vs. Hawkular Metrics vs. Microsoft Azure Table Storage vs. Sadas Engine vs. Warp 10

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSadas Engine  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A Wide Column Store for rapid development using massive semi-structured datasetsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeTime Series DBMSWide column storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websiteaws.amazon.com/­documentdbwww.hawkular.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.sadasengine.comwww.warp10.io
Technical documentationaws.amazon.com/­documentdb/­resourceswww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwww.warp10.io/­content/­02_Getting_started
DeveloperCommunity supported by Red HatMicrosoftSADAS s.r.l.SenX
Initial release20192014201220062015
Current release8.0
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial infofree trial version availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemshostedLinux
OS X
Windows
hostedAIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-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.nonononono
Secondary indexesyesnonoyesno
SQL infoSupport of SQLnononoyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP RESTRESTful HTTP APIJDBC
ODBC
Proprietary protocol
HTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnonononoyes infoWarpScript
Triggersnoyes infovia Hawkular Alertingnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraSharding infoImplicit feature of the cloud servicehorizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infobased on Cassandrayes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnooptimistic lockingno
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.nonoyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights based on private key authentication or shared access signaturesAccess rights for users, groups and roles according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Amazon DocumentDBHawkular MetricsMicrosoft Azure Table StorageSadas EngineWarp 10
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