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DBMS > Apache Druid vs. Apache Impala vs. GeoSpock vs. Microsoft Azure AI Search vs. SwayDB

System Properties Comparison Apache Druid vs. Apache Impala vs. GeoSpock vs. Microsoft Azure AI Search vs. SwayDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache Impala  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSwayDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic DBMS for HadoopSpatial and temporal data processing engine for extreme data scaleSearch-as-a-service for web and mobile app developmentAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSSearch engineKey-value store
Secondary database modelsDocument storeTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitedruid.apache.orgimpala.apache.orggeospock.comazure.microsoft.com/­en-us/­services/­searchswaydb.simer.au
Technical documentationdruid.apache.org/­docs/­latest/­designimpala.apache.org/­impala-docs.htmllearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by ClouderaGeoSpockMicrosoftSimer Plaha
Initial release2012201320152018
Current release29.0.1, April 20244.1.0, June 20222.0, September 2019V1
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2commercialcommercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java, JavascriptScala
Server operating systemsLinux
OS X
Unix
Linuxhostedhosted
Data schemeyes infoschema-less columns are supportedyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonononono
Secondary indexesyesyestemporal, categoricalyesno
SQL infoSupport of SQLSQL for queryingSQL-like DML and DDL statementsANSI SQL for query only (using Presto)nono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
JDBCRESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBCC#
Java
JavaScript
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenonono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingAutomatic shardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factoryes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonononoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per tableyes infousing Azure authenticationno

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More resources
Apache DruidApache ImpalaGeoSpockMicrosoft Azure AI SearchSwayDB
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