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DBMS > Apache Drill vs. Badger vs. Databend vs. Milvus

System Properties Comparison Apache Drill vs. Badger vs. Databend vs. Milvus

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonBadger  Xexclude from comparisonDatabend  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelDocument store
Relational DBMS
Key-value storeRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score0.14
Rank#328  Overall
#48  Key-value stores
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score3.01
Rank#89  Overall
#4  Vector DBMS
Websitedrill.apache.orggithub.com/­dgraph-io/­badgergithub.com/­datafuselabs/­databend
www.databend.com
milvus.io
Technical documentationdrill.apache.org/­docsgodoc.org/­github.com/­dgraph-io/­badgerdocs.databend.commilvus.io/­docs/­overview.md
DeveloperApache Software FoundationDGraph LabsDatabend Labs
Initial release2012201720212019
Current release1.20.3, January 20231.0.59, April 20232.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0
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 languageGoRustC++, Go
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
hosted
Linux
macOS
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeschema-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 indexesnononono
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC++GoGo
Java
JavaScript (Node.js)
Python
Rust
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyes
User concepts infoAccess controlDepending on the underlying data sourcenoUsers with fine-grained authorization concept, user rolesRole based access control and fine grained access rights
More information provided by the system vendor
Apache DrillBadgerDatabendMilvus
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
Apache DrillBadgerDatabendMilvus
DB-Engines blog posts

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