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DBMS > Infobright vs. Milvus vs. RisingWave vs. Sphinx

System Properties Comparison Infobright vs. Milvus vs. RisingWave vs. Sphinx

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Editorial information provided by DB-Engines
NameInfobright  Xexclude from comparisonMilvus  Xexclude from comparisonRisingWave  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA DBMS designed for efficient storage of vector data and vector similarity searchesA distributed RDBMS for stream processing, wire-compatible with PostgreSQLOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSVector DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteignitetech.com/­softwarelibrary/­infobrightdbmilvus.iowww.risingwave.com/­databasesphinxsearch.com
Technical documentationmilvus.io/­docs/­overview.mddocs.risingwave.com/­docs/­current/­introsphinxsearch.com/­docs
DeveloperIgnite Technologies Inc.; formerly InfoBright Inc.RisingWave LabsSphinx Technologies Inc.
Initial release2005201920222001
Current release2.3.4, January 20241.2, September 20233.5.1, February 2023
License infoCommercial or Open Sourcecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageCC++, GoRustC++
Server operating systemsLinux
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Docker
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesVector, Numeric and StringStandard SQL-types and JSONno
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.nonono
Secondary indexesno infoKnowledge Grid Technology used insteadnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoyesSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIJDBC
PostgreSQL wire protocol
Proprietary protocol
Supported programming languages.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoUDFs in Python or Javano
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesRole based access control and fine grained access rightsUsers and Rolesno
More information provided by the system vendor
InfobrightMilvusRisingWaveSphinx
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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InfobrightMilvusRisingWaveSphinx
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