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DBMS > Apache Phoenix vs. Manticore Search vs. Milvus vs. Newts

System Properties Comparison Apache Phoenix vs. Manticore Search vs. Milvus vs. Newts

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonManticore Search  Xexclude from comparisonMilvus  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseMulti-storage database for search, including full-text search.A DBMS designed for efficient storage of vector data and vector similarity searchesTime Series DBMS based on Cassandra
Primary database modelRelational DBMSSearch engineVector DBMSTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Websitephoenix.apache.orgmanticoresearch.commilvus.ioopennms.github.io/­newts
Technical documentationphoenix.apache.orgmanual.manticoresearch.commilvus.io/­docs/­overview.mdgithub.com/­OpenNMS/­newts/­wiki
DeveloperApache Software FoundationManticore SoftwareOpenNMS Group
Initial release2014201720192014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20196.0, February 20232.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL version 2Open Source infoApache Version 2.0Open Source infoApache 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 languageJavaC++C++, GoJava
Server operating systemsLinux
Unix
Windows
FreeBSD
Linux
macOS
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesFixed schemaschema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, BooleanVector, Numeric and Stringyes
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 XMLnono
Secondary indexesyesyes infofull-text index on all search fieldsnono
SQL infoSupport of SQLyesSQL-like query languagenono
APIs and other access methodsJDBCBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIHTTP REST
Java API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C++
Go
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Synchronous replication based on Galera libraryselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoRole based access control and fine grained access rightsno
More information provided by the system vendor
Apache PhoenixManticore SearchMilvusNewts
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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More resources
Apache PhoenixManticore SearchMilvusNewts
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