DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > InfluxDB vs. Microsoft Access vs. YugabyteDB

System Properties Comparison InfluxDB vs. Microsoft Access vs. YugabyteDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)High-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.
Primary database modelTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.86
Rank#30  Overall
#1  Time Series DBMS
Score116.54
Rank#11  Overall
#7  Relational DBMS
Score1.04
Rank#159  Overall
#77  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewproducts.office.com/­en-us/­accesswww.yugabyte.com
Technical documentationdocs.influxdata.com/­influxdbmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperMicrosoftYugabyte Inc.
Initial release201319922017
Current release1.8.0, April 20201902 (16.0.11328.20222), March 20192.1.8.2, June 2020
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C and C++
Server operating systemsLinux
OS X infothrough Homebrew
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Data schemeschema-freeyesdepending on used data model
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query languageyes infobut not compliant to any SQL standardyes, PostgreSQL compatible
APIs and other access methodsHTTP API
JSON over UDP
ADO.NET
DAO
ODBC
OLE DB
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineyes infosql, plpgsql, C
Triggersnoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynoneHash and Range Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlynoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineno
User concepts infoAccess controlsimple rights management via user accountsno infoa simple user-level security was built in till version Access 2003yes
More information provided by the system vendor
InfluxDBMicrosoft AccessYugabyteDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Gain Developer Agility Leverage full power of PostgreSQL-compatible SQL and distributed...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
YugabyteDB is a distributed ACID-compliant database that brings together four must-have...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
YugabyteDB is a good fit for fast-growing, cloud native applications that need to...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» 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
YugabyteDB is a 100% open source project licensed under the permissive Apache 2.0...
» 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
InfluxDBMicrosoft AccessYugabyteDB
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

show all

MS Access drops in DB-Engines Ranking
2 May 2013, Paul Andlinger

Microsoft SQL Server regained rank 2 in the DB-Engines popularity ranking
3 December 2012, Matthias Gelbmann

New DB-Engines Ranking shows the popularity of database management systems
3 October 2012, Matthias Gelbmann, Paul Andlinger

show all

Recent citations in the news

Time series databases at the core of the enterprise: real-time insights
1 July 2020, TechHQ

How Texas Instruments Uses InfluxDB to Improve Efficiencies
25 June 2020, DevOps.com

Expert Weighs in on Creating Dashboards from vSphere Assets
15 June 2020, Database Trends and Applications

Where InfluxDB time series database is going
21 January 2020, TechTarget

A guide to monitoring tools
1 July 2020, SDTimes.com

provided by Google News

Introducing Antrow, a German Software Development company that offers MS-Access to Web App conversion Services - Press Release
16 June 2020, Digital Journal

Regional disparities in the flow of access to breast cancer hospitalizations in Brazil in 2004 and 2014
30 June 2020, BMC Blogs Network

Enterprise Chromebooks to get Windows app support this fall via Parallels
16 June 2020, About Chromebooks

Poets&Quants MBA Watch | Ms. Access To Opportunities
2 June 2020, Poets&Quants

Listen to the WHY of the Power Platform with Charles Lamanna - Microsoft
26 June 2020, Channel 9

provided by Google News

Yugabyte raises $30M for its cloud-native distributed SQL database
9 June 2020, SiliconANGLE

Yugabyte boosts distributed SQL database with new funding
9 June 2020, TechTarget

Yugabyte Secures $30 Million In Funding
10 June 2020, Pulse 2.0

Wipro ventures invests in Yugabyte, plans to take its open source SQL database to its clients
11 June 2020, Economic Times

Can Yugabyte Modernize the Database Layer? Bill Cook Thinks So
30 June 2020, Datanami

provided by Google News

Job opportunities

Ruby On Rails Developer (5+ years)
Power Home Remodeling, Glassboro, NJ

Ruby On Rails Developer (5+ years)
Power Home Remodeling, Horsham, PA

Mobile Web Solutions Architect
Power Home Remodeling, Wilmington, DE

Ruby On Rails Developer (5+ years)
Power Home Remodeling, Conshohocken, PA

Mobile Web Solutions Architect
Power Home Remodeling, Chester, PA

Junior MS Access/ VBA Developer
Empirical Concepts, Inc., Washington, DC

Front desk
Tropical Cleaning Services Inc, Sunrise, FL

Safety Professional
Black Hills Energy, Casper, WY

VBA & MS Access Programmer
Alderson Loop, Pensacola, FL

COBRA Processor
ConnectYourCare, LLC., Remote

Data Scientist
CipherTrace, San Francisco Bay Area, CA

Data Engineer
CipherTrace, San Francisco Bay Area, CA

Data Visualization Developer
CipherTrace, San Francisco Bay Area, CA

Big Data Pipeline Engineer
CipherTrace, San Francisco Bay Area, CA

Sr Software Engineer - Swift Developer
PassiveLogic, Cottonwood Heights, UT

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.

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!

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

Present your product here