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DBMS > Bangdb vs. Heroic vs. SiteWhere vs. STSdb

System Properties Comparison Bangdb vs. Heroic vs. SiteWhere vs. STSdb

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHeroic  Xexclude from comparisonSiteWhere  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchM2M integration platform for persisting/querying time series dataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSTime Series DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitebangdb.comgithub.com/­spotify/­heroicgithub.com/­sitewhere/­sitewheregithub.com/­STSSoft/­STSdb4
Technical documentationdocs.bangdb.comspotify.github.io/­heroicsitewhere1.sitewhere.io/­index.html
DeveloperSachin Sinha, BangDBSpotifySiteWhereSTS Soft SC
Initial release2012201420102011
Current releaseBangDB 2.0, October 20214.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++JavaJavaC#
Server operating systemsLinuxLinux
OS X
Windows
Windows
Data schemeschema-freeschema-freepredefined schemeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes infoprimitive types and user defined types (classes)
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 infosecondary, composite, nested, reverse, geospatialyes infovia Elasticsearchnono
SQL infoSupport of SQLSQL like support with command line toolnonono
APIs and other access methodsProprietary protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP REST.NET Client API
Supported programming languagesC
C#
C++
Java
Python
C#
Java
Server-side scripts infoStored proceduresnonono
Triggersyes, Notifications (with Streaming only)nono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, 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 modenono
User concepts infoAccess controlyes (enterprise version only)Users with fine-grained authorization conceptno

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More resources
BangdbHeroicSiteWhereSTSdb
Recent citations in the news

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

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11 July 2017, Open Source For You

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