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DBMS > Druid vs. Vertica

System Properties Comparison Druid vs. Vertica

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Our visitors often compare Druid and Vertica with Snowflake, ClickHouse and Amazon Redshift.

Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#119  Overall
#57  Relational DBMS
#8  Time Series DBMS
Score21.77
Rank#31  Overall
#18  Relational DBMS
Websitedruid.apache.orgwww.vertica.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperMetamarkets Group and contributorsVertica / Micro Focus infoprior to that Hewlett Packard
Initial release20122005
Current releaseVertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinux
OS X
Unix
Linux
Data schemeyes infoschema-less columns are supportedyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyes
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.noyes
Secondary indexesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLSQL support via Apache Calcite adapteryes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsJSON over HTTPADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlno infoavailable via extensionsfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
DruidVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» more

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More resources
DruidVertica infoVertica Analytics Platform
Recent citations in the news

Introducing Apache Druid
17 January 2020, insideBIGDATA

Druid Developer Expands Query Options
17 April 2020, Datanami

Druid Developer Ramps Cloud-Native Approach
10 December 2019, Datanami

Real-Time Analytics from Your Data Lake Teaching the Elephant to Dance
21 January 2020, insideBIGDATA

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

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Alibaba adds leading analytics and banking software to its public cloud
17 September 2020, Which-50

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25 August 2020, Datanami

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10 September 2020, Solutions Review

Complicated and competitive: How Vertica navigates today's intricate world of database management
21 April 2020, SiliconANGLE

Micro Focus announces major update to its Vertica data analytics platform
31 March 2020, SiliconANGLE

provided by Google News

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