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DBMS > BoltDB vs. Databricks vs. Heroic vs. Hyprcubd

System Properties Comparison BoltDB vs. Databricks vs. Heroic vs. Hyprcubd

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDatabricks  Xexclude from comparisonHeroic  Xexclude from comparisonHyprcubd  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAn embedded key-value store for Go.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchServerless Time Series DBMS
Primary database modelKey-value storeDocument store
Relational DBMS
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Websitegithub.com/­boltdb/­boltwww.databricks.comgithub.com/­spotify/­heroichyprcubd.com (offline)
Technical documentationdocs.databricks.comspotify.github.io/­heroic
DeveloperDatabricksSpotifyHyprcubd, Inc.
Initial release201320132014
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedhosted
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or datenoyesyes infotime, int, uint, float, string
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.noyesnono
Secondary indexesnoyesyes infovia Elasticsearchno
SQL infoSupport of SQLnowith Databricks SQLnoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
gRPC (https)
Supported programming languagesGoPython
R
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
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 controlnotoken access
More information provided by the system vendor
BoltDBDatabricksHeroicHyprcubd
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BoltDBDatabricksHeroicHyprcubd
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