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DBMS > Altibase vs. Cloudflare Workers KV vs. Google BigQuery vs. Milvus

System Properties Comparison Altibase vs. Cloudflare Workers KV vs. Google BigQuery vs. Milvus

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Large scale data warehouse service with append-only tablesA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSKey-value storeRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitealtibase.comwww.cloudflare.com/­developer-platform/­workers-kvcloud.google.com/­bigquerymilvus.io
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdevelopers.cloudflare.com/­kv/­apicloud.google.com/­bigquery/­docsmilvus.io/­docs/­overview.md
DeveloperAltibaseCloudflareGoogle
Initial release1999201820102019
Current releasev7.3, 2023, August 20232.3.4, January 2024
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesno
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++C++, Go
Server operating systemsAIX
HP-UX
Linux
hostedhostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesVector, 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 indexesyesnonono
SQL infoSupport of SQLANSI SQL-92noyesno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
HTTP REST
Proprietary protocol
RESTful HTTP/JSON APIRESTful HTTP API
Supported programming languagesC
C++
Java
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsnouser defined functions infoin JavaScriptno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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 dataACIDnono infoSince BigQuery is designed for querying datano
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Role based access control and fine grained access rights
More information provided by the system vendor
AltibaseCloudflare Workers KVGoogle BigQueryMilvus
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
AltibaseCloudflare Workers KVGoogle BigQueryMilvus
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