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DBMS > Machbase vs. Manticore Search vs. RDF4J vs. Redis

System Properties Comparison Machbase vs. Manticore Search vs. RDF4J vs. Redis

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Editorial information provided by DB-Engines
NameMachbase infoFormer name was Infiniflux  Xexclude from comparisonManticore Search  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionTimeSeries DBMS for AIoT and BigDataOpen source search engine for searching in data from different sources. Forked of and compatible with Sphinx.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Popular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
Primary database modelTime Series DBMSSearch engineRDF storeKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#338  Overall
#32  Time Series DBMS
Score0.06
Rank#321  Overall
#16  Search engines
Score0.66
Rank#215  Overall
#9  RDF stores
Score171.50
Rank#6  Overall
#1  Key-value stores
Websitewww.machbase.commanticoresearch.comrdf4j.orgredis.com
redis.io
Technical documentationendoc.machbase.comdocs.manticoresearch.com/­latest/­html
github.com/­manticoresoftware/­manticoresearch
rdf4j.org/­documentationdocs.redis.com/­latest/­index.html
redis.io/­documentation
DeveloperMachbaseManticore SoftwareSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Redis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Labs
Initial release2013201720042009
Current releaseV6.5, August 20216.2.6, October 2021
License infoCommercial or Open Sourcecommercial infofree test version availableOpen Source infoGPL version 2Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infosource-available extensions (modules), commercial licenses for Redis Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++JavaC
Server operating systemsLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeyesyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesnoyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.nono
Secondary indexesyesyes infofull-text index on all search fieldsyesyes infowith RediSearch module
SQL infoSupport of SQLSQL-like query languageSQL-like query languagenono
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocolJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesC
C#
C++
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Java
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
Server-side scripts infoStored proceduresnonoyesLua; Redis Functions coming in Redis 7 (slides and Github)
Triggersnonoyespublish/subscribe channels provide some trigger functionality; RedisGears
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednoneSharding infoAutomatic hash-based sharding with support for hash-tags for manual sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenoneMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononothrough RedisGears
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoIsolation support depends on the API usedAtomic execution of command blocks and scripts and optimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentnoyes infoThe original contents of fields are not stored in the Manticore index.yes infoin-memory storage is supported as wellyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovolatile and lookup tableyes
User concepts infoAccess controlsimple password-based access controlnonoAccess Control Lists (ACLs): redis.io/­topics/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­topics/­encryption
Password-based authentication
More information provided by the system vendor
Machbase infoFormer name was InfinifluxManticore SearchRDF4J infoformerly known as SesameRedis
Specific characteristicsMachbase is an extremely fast time series database which processes large volumes...
» more
The Redis real-time data platform builds upon the unmatched simplicity and speed...
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Competitive advantagesFastest Database for IIoT, Independently verified, on Industry Standard Benchmarks....
» more
Redis Enterprise is a robust in-memory database platform built by the people who...
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Typical application scenariosDistributed Query In Machbase Cluster Edition, a broker node, which is responsible...
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Redis Enterprise is used by large enterprise, startup, and government organizations...
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Key customersMachbase has over 50 customers, including Samsung, POSCO, and Hyundai.
» more
Verizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more
Market metricsReal-time data processing Real-time index creation Optimized DBMS for processing...
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Most launched Docker container per day according to Docker Hub (7.2M launches per...
» more
Licensing and pricing modelsMachbase provide several product editions, including: Intelligent Edge Device, Fog...
» more
Redis Enterprise Cloud lets users scale up and down instantly, and pay only for the...
» more

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More resources
Machbase infoFormer name was InfinifluxManticore SearchRDF4J infoformerly known as SesameRedis
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