DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Atos Standard Common Repository vs. Hawkular Metrics vs. InfluxDB vs. mSQL vs. SurrealDB

System Properties Comparison Atos Standard Common Repository vs. Hawkular Metrics vs. InfluxDB vs. mSQL vs. SurrealDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonInfluxDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSurrealDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.DBMS for storing time series, events and metricsmSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument store
Key-value store
Time Series DBMSTime Series DBMSRelational DBMSDocument store
Graph DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.hawkular.orgwww.influxdata.com/­products/­influxdb-overviewhughestech.com.au/­products/­msqlsurrealdb.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.influxdata.com/­influxdbsurrealdb.com/­docs
DeveloperAtos Convergence CreatorsCommunity supported by Red HatHughes TechnologiesSurrealDB Ltd
Initial release20162014201319942022
Current release17032.7.6, April 20244.4, October 2021v1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availablecommercial infofree licenses can be providedOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGoCRust
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X infothrough Homebrew
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptionalyesNumeric 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.yesnonono
Secondary indexesyesnonoyes
SQL infoSupport of SQLnonoSQL-like query languageA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language
APIs and other access methodsLDAPHTTP RESTHTTP API
JSON over UDP
JDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesAll languages with LDAP bindingsGo
Java
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnononono
Triggersyesyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infobased on CassandraSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandraselectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
none
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoDepending on used storage engineno
User concepts infoAccess controlLDAP bind authenticationnosimple rights management via user accountsnoyes, based on authentication and database rules
More information provided by the system vendor
Atos Standard Common RepositoryHawkular MetricsInfluxDBmSQL infoMini SQLSurrealDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
News

Scaling Data Collection: Solving Renewable Energy Challenges with InfluxDB
6 June 2024

Deadman Alerts with Grafana and InfluxDB Cloud 3.0
5 June 2024

Chasing the Skies: Monitoring Flights with InfluxDB
4 June 2024

Monitoring Your Cloud Environments and Applications with InfluxDB
30 May 2024

Webinar Recap: Unleash the Full Potential of Your Time Series Data with InfluxDB and AWS
29 May 2024

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
Atos Standard Common RepositoryHawkular MetricsInfluxDBmSQL infoMini SQLSurrealDB
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

Recent citations in the news

Infographic: What makes a Mobile Operator's setup future proof?
10 February 2024, Atos

provided by Google News

Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS
5 June 2019, DevClass

provided by Google News

Amazon Timestream for InfluxDB is now generally available
15 March 2024, AWS Blog

Amazon Timestream: Managed InfluxDB for Time Series Data
14 March 2024, The New Stack

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
14 March 2024, businesswire.com

How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
15 March 2024, Datanami

Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB?
5 June 2024, hackernoon.com

provided by Google News

Higher Education PS rules out ghost students before PAC
29 November 2018, diggers.news

provided by Google News

SD Times Open-Source Project of the Week: SurrealDB
10 May 2024, SDTimes.com

Meet Tobie Morgan Hitchcock, CEO & Co-Founder Of SurrealDB
25 April 2024, TechRound

Cloud, privacy and AI: Trends defining the future of data and databases
27 September 2023, Sifted

SurrealDB raises $6M for its database-as-a-service offering
4 January 2023, TechCrunch

Introducing SurrealDB: A Quantum Leap in Database Technology
11 September 2023, TechRound

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here