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DBMS > Blueflood vs. Milvus vs. Snowflake vs. SurrealDB

System Properties Comparison Blueflood vs. Milvus vs. Snowflake vs. SurrealDB

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonMilvus  Xexclude from comparisonSnowflake  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraA DBMS designed for efficient storage of vector data and vector similarity searchesCloud-based data warehousing service for structured and semi-structured dataA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelTime Series DBMSVector DBMSRelational DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websiteblueflood.iomilvus.iowww.snowflake.comsurrealdb.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikimilvus.io/­docs/­overview.mddocs.snowflake.net/­manuals/­index.htmlsurrealdb.com/­docs
DeveloperRackspaceSnowflake Computing Inc.SurrealDB Ltd
Initial release2013201920142022
Current release2.3.4, January 2024v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
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++, GoRust
Server operating systemsLinux
OS X
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hostedLinux
macOS
Windows
Data schemepredefined schemeyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyesyes
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.nonoyes
Secondary indexesnono
SQL infoSupport of SQLnonoyesSQL-like query language
APIs and other access methodsHTTP RESTRESTful HTTP APICLI Client
JDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnonouser defined functions
Triggersnonono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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.noyesno
User concepts infoAccess controlnoRole based access control and fine grained access rightsUsers with fine-grained authorization concept, user roles and pluggable authenticationyes, based on authentication and database rules
More information provided by the system vendor
BluefloodMilvusSnowflakeSurrealDB
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
BluefloodMilvusSnowflakeSurrealDB
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