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DBMS > Apache Druid vs. Hyprcubd vs. SwayDB

System Properties Comparison Apache Druid vs. Hyprcubd vs. SwayDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHyprcubd  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataServerless Time Series DBMSAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.39
Rank#117  Overall
#58  Relational DBMS
#7  Time Series DBMS
Score0.00
Rank#341  Overall
#31  Time Series DBMS
Score0.11
Rank#306  Overall
#52  Key-value stores
Websitedruid.apache.orgwww.hyprcubd.comswaydb.io
Technical documentationdruid.apache.org/­docs/­latest/­design
DeveloperApache Software Foundation and contributorsHyprcubd, Inc.Simer Plaha
Initial release20122018
Current release0.20.0, October 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoScala
Server operating systemsLinux
OS X
Unix
hosted
Data schemeyes infoschema-less columns are supportedyesschema-free
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringno
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 indexesyesnono
SQL infoSupport of SQLSQL for queryingSQL-like query languageno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
gRPC (https)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesnoyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemtoken accessno

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More resources
Apache DruidHyprcubdSwayDB
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