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DBMS > AlaSQL vs. Apache Phoenix vs. Graph Engine vs. Milvus

System Properties Comparison AlaSQL vs. Apache Phoenix vs. Graph Engine vs. Milvus

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Phoenix  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionJavaScript DBMS libraryA scale-out RDBMS with evolutionary schema built on Apache HBaseA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelDocument store
Relational DBMS
Relational DBMSGraph DBMS
Key-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score2.78
Rank#103  Overall
#3  Vector DBMS
Websitealasql.orgphoenix.apache.orgwww.graphengine.iomilvus.io
Technical documentationgithub.com/­AlaSQL/­alasqlphoenix.apache.orgwww.graphengine.io/­docs/­manualmilvus.io/­docs/­overview.md
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationMicrosoft
Initial release2014201420102019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaScriptJava.NET and CC++, Go
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Unix
Windows
.NETLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesyes
Typing infopredefined data types such as float or datenoyesyesVector, 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.nononono
Secondary indexesnoyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesnono
APIs and other access methodsJavaScript APIJDBCRESTful HTTP APIRESTful HTTP API
Supported programming languagesJavaScriptC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
F#
Visual Basic
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsyesno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlnoAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyRole based access control and fine grained access rights
More information provided by the system vendor
AlaSQLApache PhoenixGraph Engine infoformer name: TrinityMilvus
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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AlaSQLApache PhoenixGraph Engine infoformer name: TrinityMilvus
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