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DBMS > Apache Druid vs. Hypertable vs. Microsoft Azure AI Search vs. SQL.JS vs. SwayDB

System Properties Comparison Apache Druid vs. Hypertable vs. Microsoft Azure AI Search vs. SQL.JS vs. SwayDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHypertable  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSQL.JS  Xexclude from comparisonSwayDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn open source BigTable implementation based on distributed file systems such as HadoopSearch-as-a-service for web and mobile app developmentPort of SQLite to JavaScriptAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMS
Time Series DBMS
Wide column storeSearch engineRelational DBMSKey-value store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.63
Rank#241  Overall
#112  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitedruid.apache.orgazure.microsoft.com/­en-us/­services/­searchsql.js.orgswaydb.simer.au
Technical documentationdruid.apache.org/­docs/­latest/­designlearn.microsoft.com/­en-us/­azure/­searchsql.js.org/­documentation/­index.html
DeveloperApache Software Foundation and contributorsHypertable Inc.MicrosoftAlon Zakai infoenhancements implemented by othersSimer Plaha
Initial release20122009201520122018
Current release29.0.1, April 20240.9.8.11, March 2016V1
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGNU version 3. Commercial license availablecommercialOpen SourceOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaScriptScala
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows infoan inofficial Windows port is available
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyes infoschema-less columns are supportedschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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 indexesyesrestricted infoonly exact value or prefix value scansyesno
SQL infoSupport of SQLSQL for queryingnonoyes infoSQL-92 is not fully supportedno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
C++ API
Thrift
RESTful HTTP APIJavaScript API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Java
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
JavaScriptJava
Kotlin
Scala
Server-side scripts infoStored proceduresnonononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infoImplicit feature of the cloud servicenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor on file system levelyes infoImplicit feature of the cloud servicenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoyes infousing Azure authenticationnono

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More resources
Apache DruidHypertableMicrosoft Azure AI SearchSQL.JSSwayDB
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