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DBMS > Druid vs. Impala vs. InfluxDB vs. Transbase

System Properties Comparison Druid vs. Impala vs. InfluxDB vs. Transbase

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonImpala  Xexclude from comparisonInfluxDB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataAnalytic DBMS for HadoopDBMS for storing time series, events and metricsA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.79
Rank#117  Overall
#58  Relational DBMS
#7  Time Series DBMS
Score15.07
Rank#36  Overall
#22  Relational DBMS
Score19.93
Rank#33  Overall
#1  Time Series DBMS
Score0.10
Rank#288  Overall
#130  Relational DBMS
Websitedruid.apache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.influxdata.com/­products/­influxdb-overviewwww.transaction.de/­en/­home.html
Technical documentationdruid.apache.org/­docs/­latest/­designwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldocs.influxdata.com/­influxdbwww.transaction.de/­en/­info-center/­product-documentation.html
DeveloperMetamarkets Group and contributorsClouderaTransaction Software GmbH
Initial release2012201320131987
Current release3.3.0, August 20191.7.8, August 2019Transbase 8.2, May 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2Open Source infoMIT-License; commercial enterprise version availablecommercial infofree development license
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++GoC and C++
Server operating systemsLinux
OS X
Unix
LinuxLinux
OS X infothrough Homebrew
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes
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 indexesyesyesnoyes
SQL infoSupport of SQLSQL support via Apache Calcite adapterSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsJSON over HTTPJDBC
ODBC
HTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBC.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factorselectable replication factor infoin enterprise version onlyMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoDepending on used storage engineno
User concepts infoAccess controlno infoavailable via extensionsAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
DruidImpalaInfluxDBTransbase
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
The resource-optimized high-performance database system Transbase® impresses with...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Big Data and the Internet of Things (IoT) are placing new demands on database management...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
In following areas we created solutions based on Transbase®, C-chain and SecureBase:...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Together successful through Co-Operation: The successful business principles of the...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
You will receive the Transbase® full version as a Subscription with a term of one...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DruidImpalaInfluxDBTransbase
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Recent citations in the news

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10 May 2019, Datanami

Imply launches with $2M to commercialize the Druid open-source data store
19 October 2015, VentureBeat

Hadoop Creator Yahoo Finds It's Not Enough, Turns to Druid
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Yahoo Casts Real-Time OLAP Queries with Druid
4 August 2015, Datanami

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25 October 2012, ZDNet

Cloudera says Impala is faster than Hive, which isn't saying much
13 January 2014, GigaOM

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