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DBMS > Milvus vs. Spark SQL vs. SQream DB vs. Transbase vs. Vitess

System Properties Comparison Milvus vs. Spark SQL vs. SQream DB vs. Transbase vs. Vitess

Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQream DB  Xexclude from comparisonTransbase  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesSpark SQL is a component on top of 'Spark Core' for structured data processinga GPU-based, columnar RDBMS for big data analytics workloadsA resource-optimized, high-performance, universally applicable RDBMSScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelVector DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitemilvus.iospark.apache.org/­sqlsqream.comwww.transaction.de/­en/­products/­transbase.htmlvitess.io
Technical documentationmilvus.io/­docs/­overview.mdspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.sqream.comwww.transaction.de/­en/­products/­transbase/­features.htmlvitess.io/­docs
DeveloperApache Software FoundationSQream TechnologiesTransaction Software GmbHThe Linux Foundation, PlanetScale
Initial release20192014201719872013
Current release2.3.4, January 20243.5.0 ( 2.13), September 20232022.1.6, December 2022Transbase 8.3, 202215.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercial infofree development licenseOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
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++, GoScalaC++, CUDA, Haskell, Java, ScalaC and C++Go
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Docker
Linux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateVector, Numeric and Stringyesyes, ANSI Standard SQL Typesyesyes
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.nonono
Secondary indexesnononoyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesyesyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
.Net
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonouser defined functions in Pythonyesyes infoproprietary syntax
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Corehorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDyesACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlRole based access control and fine grained access rightsnofine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
MilvusSpark SQLSQream DBTransbaseVitess
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
MilvusSpark SQLSQream DBTransbaseVitess
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