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DBMS > OpenQM vs. Redis vs. TigerGraph

System Properties Comparison OpenQM vs. Redis vs. TigerGraph

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Editorial information provided by DB-Engines
NameOpenQM infoalso called QM  Xexclude from comparisonRedis  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionQpenQM is a high-performance, self-tuning, multi-value DBMSIn-memory data structure store, used as database, cache and message broker infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelMultivalue DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceGraph DBMS
Secondary database modelsDocument store infowith Redis Modules
Graph DBMS infowith Redis Modules
Search engine infowith Redis Modules
Time Series DBMS infowith Redis Modules
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#249  Overall
#10  Multivalue DBMS
Score155.42
Rank#7  Overall
#1  Key-value stores
Score1.14
Rank#157  Overall
#13  Graph DBMS
Websitewww.openqm.comredis.iowww.tigergraph.com
Technical documentationwww.openqm.com/­support/­documentationredis.io/­documentationdocs.tigergraph.com
DeveloperMartin PhillipsSalvatore Sanfilippo infoDevelopment sponsored by Redis Labs
Initial release199320092017
Current release3.4-126.0.9, October 2020
License infoCommercial or Open SourceOpen Source infoGPLv2, extended commercial license availableOpen Source infoBSD 3-Clause, commercial license availablecommercial
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.
ScaleGrid for Redis: Fully managed hosting for Redis on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageCC++
Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Linux
Data schemeyes infowith some exceptionsschema-freeyes
Typing infopredefined data types such as float or datepartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.yesnono
Secondary indexesyesyes infowith RediSearch module
SQL infoSupport of SQLnonoSQL-like query language (GSQL)
APIs and other access methodsproprietary protocol infoRESP - REdis Serialization ProtocolGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C++
Java
Server-side scripts infoStored proceduresyesLuayes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights can be defined down to the item levelSimple password-based access control infoAccess control lists and SSL are available in the commercial versionRole-based access control
More information provided by the system vendor
OpenQM infoalso called QMRedisTigerGraph
Specific characteristicsTigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesTigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosAnti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersFour out of the top five global banks use TigerGraph for real-time fraud detection....
» more
Market metricsANALYST RESEARCH Nov 2020: TigerGraph Named A Leader For Graph Data Platforms - TigerGraph...
» more
Licensing and pricing modelsTry TigerGraph for Free in the Cloud or On Prem https://www.tigergraph.com/get-tigergraph/...
» more

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Related products and services
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More resources
OpenQM infoalso called QMRedisTigerGraph
DB-Engines blog posts

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7 January 2015, Paul Andlinger, Matthias Gelbmann

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TigerGraph Named a Graph Data Platform Leader by Independent Research Firm
16 November 2020, DevOps.com

Graph Databases Gaining Enterprise-Ready Features
4 November 2020, EnterpriseAI

TigerGraph Demonstrates Scalability to Support Massive Data Volumes
19 October 2020, AiThority

TigerGraph's GSQL Recognized by SIGMOD for Advancing, Evolving Graph Analytics for the Enterprise
22 July 2020, GlobeNewswire

TigerGraph Offers Free Graph Database for On-Prem Analysis
30 September 2020, Datanami

provided by Google News

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