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DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Microsoft Azure Table Storage vs. Milvus vs. Sphinx

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Microsoft Azure Table Storage vs. Milvus vs. Sphinx

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Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonMilvus  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn online MPP (Massively Parallel Processing) data warehousing service based on GreenplumA Wide Column Store for rapid development using massive semi-structured datasetsA DBMS designed for efficient storage of vector data and vector similarity searchesOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSWide column storeVector DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#213  Overall
#101  Relational DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqlazure.microsoft.com/­en-us/­services/­storage/­tablesmilvus.iosphinxsearch.com
Technical documentationwww.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overviewmilvus.io/­docs/­overview.mdsphinxsearch.com/­docs
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupMicrosoftSphinx Technologies Inc.
Initial release2016201220192001
Current release2.4.4, May 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
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 languageC++, GoC++
Server operating systemshostedhostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringno
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.yesnono
Secondary indexesyesnonoyes infofull-text index on all search fields
SQL infoSupport of SQLyesnonoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIRESTful HTTP APIProprietary protocol
Supported programming languagesC
Java
Perl
Python
R
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
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 proceduresyesnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 dataACIDoptimistic lockingnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesRole based access control and fine grained access rightsno
More information provided by the system vendor
Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBMicrosoft Azure Table StorageMilvusSphinx
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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Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBMicrosoft Azure Table StorageMilvusSphinx
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