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DBMS > InfluxDB vs. Memgraph vs. Microsoft SQL Server vs. Oracle Berkeley DB vs. Quasardb

System Properties Comparison InfluxDB vs. Memgraph vs. Microsoft SQL Server vs. Oracle Berkeley DB vs. Quasardb

Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsAn open source graph database built for real-time streaming and compatible with Neo4jMicrosofts flagship relational DBMSWidely used in-process key-value storeDistributed, high-performance timeseries database
Primary database modelTime Series DBMSGraph DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewmemgraph.comwww.microsoft.com/­en-us/­sql-serverwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlquasar.ai
Technical documentationdocs.influxdata.com/­influxdbmemgraph.com/­docslearn.microsoft.com/­en-US/­sql/­sql-serverdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldoc.quasar.ai/­master
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperMemgraph LtdMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by Oraclequasardb
Initial release20132017198919942009
Current release2.7.6, April 2024SQL Server 2022, November 202218.1.40, May 20203.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercial inforestricted free version is availableOpen Source infocommercial license availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageGoC and C++C++C, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsLinux
OS X infothrough Homebrew
LinuxLinux
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeschema-free and schema-optionalyesschema-freeschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyesnoyes infointeger and binary
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.nonoyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesyesyes infowith tags
SQL infoSupport of SQLSQL-like query languagenoyesyes infoSQL interfaced based on SQLite is availableSQL-like query language
APIs and other access methodsHTTP API
JSON over UDP
Bolt protocol
Cypher query language
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
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#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanono
Triggersnoyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infodynamic graph partitioningtables can be distributed across several files (horizontal partitioning); sharding through federationnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMulti-source replication using RAFTyes, but depending on the SQL-Server EditionSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infowith snapshot isolationACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesyesyesyes infoTransient mode
User concepts infoAccess controlsimple rights management via user accountsUsers, roles and permissionsfine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
InfluxDBMemgraphMicrosoft SQL ServerOracle Berkeley DBQuasardb
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» 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
You can check out our pricing model and licenses on the company website .
» 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.

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More resources
InfluxDBMemgraphMicrosoft SQL ServerOracle Berkeley DBQuasardb
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Recent citations in the news

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15 March 2024, AWS Blog

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5 June 2024, hackernoon.com

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7 August 2023, PR Newswire

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