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DBMS > Apache Druid vs. atoti vs. EXASOL vs. Hive

System Properties Comparison Apache Druid vs. atoti vs. EXASOL vs. Hive

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonatoti  Xexclude from comparisonEXASOL  Xexclude from comparisonHive  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.High-performance, in-memory, MPP database specifically designed for in-memory analytics.data warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelRelational DBMS
Time Series DBMS
Object oriented DBMSRelational DBMSRelational 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
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websitedruid.apache.orgatoti.iowww.exasol.comhive.apache.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.atoti.iowww.exasol.com/­resourcescwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperApache Software Foundation and contributorsActiveViamExasolApache Software Foundation infoinitially developed by Facebook
Initial release201220002012
Current release29.0.1, April 20243.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree versions availablecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsLinux
OS X
Unix
All OS with a Java VM
Data schemeyes infoschema-less columns are supportedyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingMultidimensional Expressions (MDX)yesSQL-like DML and DDL statements
APIs and other access methodsJDBC
RESTful HTTP/JSON API
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
Thrift
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
Lua
Python
R
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoPythonuser defined functionsyes infouser defined functions and integration of map-reduce
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.noyesyes
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 according to SQL-standardAccess rights for users, groups and roles

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More resources
Apache DruidatotiEXASOLHive
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