DB-EngineseXtremeDB: 5 9's high availability databaseEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Druid vs. SwayDB vs. Vertica

System Properties Comparison Druid vs. SwayDB vs. Vertica

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonSwayDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.17
Rank#118  Overall
#59  Relational DBMS
#7  Time Series DBMS
Score0.06
Rank#319  Overall
#55  Key-value stores
Score21.58
Rank#31  Overall
#18  Relational DBMS
Websitedruid.apache.orgswaydb.iowww.vertica.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperMetamarkets Group and contributorsSimer PlahaVertica / Micro Focus infoprior to that Hewlett Packard
Initial release201220182005
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 v2Open Source infoGNU Affero GPL V3.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScala
Server operating systemsLinux
OS X
Unix
Linux
Data schemeyes infoschema-less columns are supportedschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesnoyes
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.nonoyes
Secondary indexesyesnono infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLSQL support via Apache Calcite adapternoyes 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
Java
Kotlin
Scala
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnonoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of operationsACID
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.noyes
User concepts infoAccess controlno infoavailable via extensionsnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
DruidSwayDBVertica 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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DruidSwayDBVertica 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

provided by Google News

Five questions investors are asking about Snowflake's IPO
2 August 2020, SiliconANGLE

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

Back with a bang: Vertica previews Big Data Conference's return after 4-year hiatus
27 March 2020, SiliconANGLE

Develop an application migration methodology to modernize your data warehouse with Amazon Redshift
13 July 2020, idk.dev

provided by Google News

Job opportunities

Community Engineer
Imply, Burlingame, CA

Solutions Architect
Imply, Burlingame, CA

User Interface Engineer at Vertica
Micro Focus, Cambridge, MA

Database Lead
QuEST Global Engineering, Sunnyvale, CA

Systems Software Engineer at Vertica
Micro Focus, Cambridge, MA

Database Migration Consultant
Amazon Web Services, Inc., United States

Database Administrator
Maxpro, Albany, NY

jobs by Indeed




Share this page

Featured Products

Datastax Astra logo

Cassandra made easy in the cloud. Build cloud-native applications faster with CQL, REST and GraphQL APIs.
Try for Free.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Present your product here