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DBMS > InfluxDB vs. Vertica vs. VoltDB

System Properties Comparison InfluxDB vs. Vertica vs. VoltDB

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performanceDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.34
Rank#29  Overall
#1  Time Series DBMS
Score21.77
Rank#31  Overall
#18  Relational DBMS
Score1.83
Rank#130  Overall
#64  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.vertica.comwww.voltdb.com
Technical documentationdocs.influxdata.com/­influxdbwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htmdocs.voltdb.com
DeveloperVertica / Micro Focus infoprior to that Hewlett PackardVoltDB Inc.
Initial release201320052010
Current release1.8.0, April 2020Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
9.0, April 2019
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercial infoLimited community edition freeOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platformno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, C++
Server operating systemsLinux
OS X infothrough Homebrew
LinuxLinux
OS X infofor development
Data schemeschema-freeyes infoUnstructured data can be stored in specific Flex-Tablesyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyes
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 indexesnono infoThe concept of 'projections' can be used instead of indexes.yes
SQL infoSupport of SQLSQL-like query languageyes infonearly full SQL99 without support for indexes and triggersyes infoonly a subset of SQL 99
APIs and other access methodsHTTP API
JSON over UDP
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
Perl
Python
R
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoyesJava
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infoSegmentation, Projection Segmentation, Hash SegmentationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMulti-source replication infoCluster level and Object level replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infowith Vertica Connector for Hadoopno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engine
User concepts infoAccess controlsimple rights management via user accountsfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashUsers and roles with access to stored procedures
More information provided by the system vendor
InfluxDBVertica infoVertica Analytics PlatformVoltDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» 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
Cost-based models and subscription-based models are available
» more

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More resources
InfluxDBVertica infoVertica Analytics PlatformVoltDB
DB-Engines blog posts

Why Build a Time Series Data Platform?
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