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DBMS > Apache Phoenix vs. Google BigQuery vs. Google Cloud Bigtable vs. Milvus vs. Trino

System Properties Comparison Apache Phoenix vs. Google BigQuery vs. Google Cloud Bigtable vs. Milvus vs. Trino

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMilvus  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseLarge scale data warehouse service with append-only tablesGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A DBMS designed for efficient storage of vector data and vector similarity searchesFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Vector DBMSRelational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score1.81
Rank#144  Overall
#5  Vector DBMS
Score5.10
Rank#70  Overall
#38  Relational DBMS
Websitephoenix.apache.orgcloud.google.com/­bigquerycloud.google.com/­bigtablemilvus.iotrino.io
Technical documentationphoenix.apache.orgcloud.google.com/­bigquery/­docscloud.google.com/­bigtable/­docsmilvus.io/­docs/­overview.mdtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperApache Software FoundationGoogleGoogleTrino Software Foundation
Initial release20142010201520192012 info2020 rebranded from PrestoSQL
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for MilvusStarburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJavaC++, GoJava
Server operating systemsLinux
Unix
Windows
hostedhostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS infofor devlopment
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoVector, 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.nonononono
Secondary indexesyesnononodepending on connected data-source
SQL infoSupport of SQLyesyesnonoyes
APIs and other access methodsJDBCRESTful HTTP/JSON APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin JavaScriptnonoyes, depending on connected data-source
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Internal replication in Colossus, and regional replication between two clusters in different zonesdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
depending on connected data-source
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataAtomic single-row operationsnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role based access control and fine grained access rightsSQL standard access control
More information provided by the system vendor
Apache PhoenixGoogle BigQueryGoogle Cloud BigtableMilvusTrino
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
High performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Trino is widely adopted across the globe as freely-available open source software....
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
» more
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