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DBMS > Memgraph vs. Splunk vs. TempoIQ vs. Vitess

System Properties Comparison Memgraph vs. Splunk vs. TempoIQ vs. Vitess

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Editorial information provided by DB-Engines
NameMemgraph  Xexclude from comparisonSplunk  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonVitess  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionAn open source graph database built for real-time streaming and compatible with Neo4jAnalytics Platform for Big DataScalable analytics DBMS for sensor data, provided as a service (SaaS)Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelGraph DBMSSearch engineTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitememgraph.comwww.splunk.comtempoiq.com (offline)vitess.io
Technical documentationmemgraph.com/­docsdocs.splunk.com/­Documentation/­Splunkvitess.io/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperMemgraph LtdSplunk Inc.TempoIQThe Linux Foundation, PlanetScale
Initial release2017200320122013
Current release15.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercial infoLimited free edition and free developer edition availablecommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Go
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeschema-free and schema-optionalyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesyes
SQL infoSupport of SQLnono infoSplunk Search Processing Language for search commandsnoyes infowith proprietary extensions
APIs and other access methodsBolt protocol
Cypher query language
HTTP RESTHTTP APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C#
Java
JavaScript
PHP
Python
Ruby
C#
Java
JavaScript infoNode.js
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnoyes infoproprietary syntax
Triggersyesyes infoRealtime Alertsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infodynamic graph partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyes inforelationships in graphsnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infowith snapshot isolationno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlUsers, roles and permissionsAccess rights for users and rolessimple authentication-based access controlUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
MemgraphSplunkTempoIQ infoformerly TempoDBVitess
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
MemgraphSplunkTempoIQ infoformerly TempoDBVitess
DB-Engines blog posts

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Recent citations in the news

Enhance Your Network with the Power of a Graph DB
4 May 2024, Towards Data Science

Graph database company Memgraph raises $9.34M
5 October 2021, VentureBeat

Graph Database Market to grow at a CAGR of 19.9% from 2022 to 2027|Increased demand for low-latency queries is a ...
7 August 2023, PR Newswire

Croatian graph database startup Memgraph raises €8M with Microsoft as key investor, plans to boost R&D
20 October 2021, The Recursive

Modeling and Navigating a Transportation Network with Memgraph
12 April 2021, Towards Data Science

provided by Google News

Vitess, the database clustering system powering YouTube, graduates CNCF incubation
5 November 2019, SiliconANGLE News

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

They scaled YouTube — now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

provided by Google News



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