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DBMS > Drizzle vs. Milvus vs. QuestDB vs. VoltDB

System Properties Comparison Drizzle vs. Milvus vs. QuestDB vs. VoltDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonMilvus  Xexclude from comparisonQuestDB  Xexclude from comparisonVoltDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A DBMS designed for efficient storage of vector data and vector similarity searchesA high performance open source SQL database for time series dataDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSVector DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitemilvus.ioquestdb.iowww.voltdb.com
Technical documentationmilvus.io/­docs/­overview.mdquestdb.io/­docsdocs.voltdb.com
DeveloperDrizzle project, originally started by Brian AkerQuestDB Technology IncVoltDB Inc.
Initial release2008201920142010
Current release7.2.4, September 20122.3.4, January 202411.3, April 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
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++, GoJava (Zero-GC), C++, RustJava, C++
Server operating systemsFreeBSD
Linux
OS X
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
Windows
Linux
OS X infofor development
Data schemeyesyes infoschema-free via InfluxDB Line Protocolyes
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.nono
Secondary indexesyesnonoyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL with time-series extensionsyes infoonly a subset of SQL 99
APIs and other access methodsJDBCRESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
PHP
C++
Go
Java
JavaScript (Node.js)
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnononoJava
Triggersno infohooks for callbacks inside the server can be used.nonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication with eventual consistencyMulti-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 Consistency
Foreign keys infoReferential integrityyesnonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID for single-table writesACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped files
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPRole based access control and fine grained access rightsUsers and roles with access to stored procedures
More information provided by the system vendor
DrizzleMilvusQuestDBVoltDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» 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
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
DrizzleMilvusQuestDBVoltDB
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