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 > Heroic vs. Kinetica vs. Memgraph vs. OpenQM vs. ReductStore

System Properties Comparison Heroic vs. Kinetica vs. Memgraph vs. OpenQM vs. ReductStore

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonKinetica  Xexclude from comparisonMemgraph  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonReductStore  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully vectorized database across both GPUs and CPUsAn open source graph database built for real-time streaming and compatible with Neo4jQpenQM is a high-performance, self-tuning, multi-value DBMSDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelTime Series DBMSRelational DBMSGraph DBMSMultivalue DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websitegithub.com/­spotify/­heroicwww.kinetica.commemgraph.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmgithub.com/­reductstore
www.reduct.store
Technical documentationspotify.github.io/­heroicdocs.kinetica.commemgraph.com/­docswww.reduct.store/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperSpotifyKineticaMemgraph LtdRocket Software, originally Martin PhillipsReductStore LLC
Initial release20142012201719932023
Current release7.1, August 20213.4-121.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoGPLv2, extended commercial license availableOpen Source infoBusiness Source License 1.1
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 languageJavaC, C++C and C++C++, Rust
Server operating systemsLinuxLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeschema-freeyesschema-free and schema-optionalyes infowith some exceptions
Typing infopredefined data types such as float or dateyesyesyes
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.nononoyes
Secondary indexesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnono
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
Bolt protocol
Cypher query language
HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnouser defined functionsyes
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infodynamic graph partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication using RAFTyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes 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.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and roles on table levelUsers, roles and permissionsAccess rights can be defined down to the item level
More information provided by the system vendor
HeroicKineticaMemgraphOpenQM infoalso called QMReductStore
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

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
HeroicKineticaMemgraphOpenQM infoalso called QMReductStore
Recent citations in the news

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News

Kinetica Delivers Real-Time Vector Similarity Search
21 March 2024, insideBIGDATA

Kinetica Launches Generative AI Solution for Real-Time Inferencing Powered by NVIDIA AI Enterprise
18 March 2024, GlobeNewswire

Kinetica ramps up RAG for generative AI, empowering enterprises with real-time operational data
18 March 2024, SiliconANGLE News

Transforming spatiotemporal data analysis with GPUs and generative AI
30 October 2023, InfoWorld

Kinetica Delivers Real-Time Vector Similarity Search
22 March 2024, Geospatial World

provided by Google 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

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

Making Your Own Memory Graph To Detect Memory Issues On iOS
13 April 2021, hackernoon.com

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

provided by Google News



Share this page

Featured Products

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

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.

Present your product here