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DBMS > InfluxDB vs. Memgraph vs. Vertica

System Properties Comparison InfluxDB vs. Memgraph vs. Vertica

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMemgraph  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scaleColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelTime Series DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.25
Rank#27  Overall
#1  Time Series DBMS
Score0.07
Rank#310  Overall
#30  Graph DBMS
Score20.56
Rank#32  Overall
#19  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewmemgraph.comwww.vertica.com
Technical documentationdocs.influxdata.com/­influxdbdocs.memgraph.comwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperMemgraph LtdVertica / Micro Focus infoprior to that Hewlett Packard
Initial release201320172005
Current release2.0.2, November 2020Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercial infoFree license availablecommercial 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 languageGoC and C++
Server operating systemsLinux
OS X infothrough Homebrew
LinuxLinux
Data schemeschema-freeschema-free and schema-optionalyes infoUnstructured data can be stored in specific Flex-Tables
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.nonoyes
Secondary indexesnono infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLSQL-like query languagenoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsHTTP API
JSON over UDP
Bolt protocol
Cypher query language
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infodynamic graph partitioningSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMulti-source replication using RAFTMulti-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 Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyes
User concepts infoAccess controlsimple rights management via user accountsUsers, roles and permissionsfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
InfluxDBMemgraphVertica infoVertica Analytics Platform
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
News

Monitoring DigitalOcean Billing with InfluxDB
24 February 2021

InfluxDB C Client Library for Capturing Statistics
23 February 2021

A Partnership Between InfluxData and Ockam Brings Trust to Time Series Data
22 February 2021

Why I Joined InfluxData
19 February 2021

Announcement: Register for InfluxDays EMEA 2021
18 February 2021

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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
InfluxDBMemgraphVertica infoVertica Analytics Platform
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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Recent citations in the news

InfluxData Secures SOC 2 Type II Certification For InfluxDB Cloud
29 January 2021, AiThority

PayPal Standardizes on Apache Airflow and Apache Gobblin for Its Next-Gen Data Movement Platform
10 February 2021, InfoQ.com

QuestDB has built a lightning fast time series database. Can it build a business to match?
16 February 2021, TechRepublic

InfluxDB to Revamp Storage Engine for Time-Series Database
30 November 2020, DevOps.com

Reasons to switch to the InfluxDB time-series database, explored
25 August 2020, TechHQ

provided by Google News

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22 February 2021, NeighborWebSJ

Graph Database Market Growth Will Be Sharply Higher By 2026 – NeighborWebSJ
5 February 2021, NeighborWebSJ

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8 databases supporting in-database machine learning
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18 February 2021, PRNewswire

Database Management Software Market is Expected To Pick Up In Healthy CAGR BY 2021-2026 , Top Keyplayers – , Actian Corporation, iWay Software, Embarcadero Technologies, etc. – KSU | The Sentinel Newspaper
5 February 2021, KSU | The Sentinel Newspaper

Database Software Market Analysis, Exhaustive Report 2020: Top Company, Trends And Future Forecasts Details Till 2029 – NeighborWebSJ
24 February 2021, NeighborWebSJ

Vertica survives software industry turmoil to emerge as key cloud and big data player
13 April 2020, SiliconANGLE

provided by Google News

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