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DBMS > Apache Druid vs. Apache Impala vs. FatDB vs. GBase

System Properties Comparison Apache Druid vs. Apache Impala vs. FatDB vs. GBase

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache Impala  Xexclude from comparisonFatDB  Xexclude from comparisonGBase  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic DBMS for HadoopA .NET NoSQL DBMS that can integrate with and extend SQL Server.An analytical database for business intelligence with large customers in China.
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score1.04
Rank#190  Overall
#88  Relational DBMS
Websitedruid.apache.orgimpala.apache.orgwww.gbase.cn
Technical documentationdruid.apache.org/­docs/­latest/­designimpala.apache.org/­impala-docs.html
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by ClouderaFatCloud
Initial release201220132012
Current release29.0.1, April 20244.1.0, June 2022GBase 8a
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C#
Server operating systemsLinux
OS X
Unix
LinuxWindows
Data schemeyes infoschema-less columns are supportedyesschema-free
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 queryingSQL-like DML and DDL statementsno infoVia inetgration in SQL Server
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBCC#
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes infovia applications
Triggersnonoyes infovia applications
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nono
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 Kerberosno infoCan implement custom security layer via applications

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More resources
Apache DruidApache ImpalaFatDBGBase
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