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DBMS > Apache Pinot vs. Graph Engine vs. Manticore Search vs. Milvus

System Properties Comparison Apache Pinot vs. Graph Engine vs. Manticore Search vs. Milvus

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonManticore Search  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineMulti-storage database for search, including full-text search.A DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSGraph DBMS
Key-value store
Search engineVector DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.29
Rank#302  Overall
#21  Search engines
Score2.78
Rank#103  Overall
#4  Vector DBMS
Websitepinot.apache.orgwww.graphengine.iomanticoresearch.commilvus.io
Technical documentationdocs.pinot.apache.orgwww.graphengine.io/­docs/­manualmanual.manticoresearch.commilvus.io/­docs/­overview.md
DeveloperApache Software Foundation and contributorsMicrosoftManticore Software
Initial release2015201020172019
Current release1.0.0, September 20236.0, February 20232.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoGPL version 2Open Source infoApache Version 2.0
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 languageJava.NET and CC++C++, Go
Server operating systemsAll OS with a Java JDK11 or higher.NETFreeBSD
Linux
macOS
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesyesFixed schema
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, BooleanVector, Numeric and String
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.noCan index from XMLno
Secondary indexesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageno
APIs and other access methodsJDBCRESTful HTTP APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP API
Supported programming languagesGo
Java
Python
C#
C++
F#
Visual Basic
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoRole based access control and fine grained access rights
More information provided by the system vendor
Apache PinotGraph Engine infoformer name: TrinityManticore SearchMilvus
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...
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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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More resources
Apache PinotGraph Engine infoformer name: TrinityManticore SearchMilvus
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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