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DBMS > EsgynDB vs. Heroic vs. Microsoft Azure AI Search vs. SiteWhere

System Properties Comparison EsgynDB vs. Heroic vs. Microsoft Azure AI Search vs. SiteWhere

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchSearch-as-a-service for web and mobile app developmentM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSTime Series DBMSSearch engineTime Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.esgyn.cngithub.com/­spotify/­heroicazure.microsoft.com/­en-us/­services/­searchgithub.com/­sitewhere/­sitewhere
Technical documentationspotify.github.io/­heroiclearn.microsoft.com/­en-us/­azure/­searchsitewhere1.sitewhere.io/­index.html
DeveloperEsgynSpotifyMicrosoftSiteWhere
Initial release2015201420152010
Current releaseV1
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaJava
Server operating systemsLinuxhostedLinux
OS X
Windows
Data schemeyesschema-freeyespredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyes infovia Elasticsearchyesno
SQL infoSupport of SQLyesnonono
APIs and other access methodsADO.NET
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP APIHTTP REST
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
Java
JavaScript
Python
Server-side scripts infoStored proceduresJava Stored Proceduresnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyesyes infoImplicit feature of the cloud serviceselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationUsers with fine-grained authorization concept

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More resources
EsgynDBHeroicMicrosoft Azure AI SearchSiteWhere
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