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DBMS > Databend vs. Dgraph vs. Milvus vs. Riak TS vs. SWC-DB

System Properties Comparison Databend vs. Dgraph vs. Milvus vs. Riak TS vs. SWC-DB

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonDgraph  Xexclude from comparisonMilvus  Xexclude from comparisonRiak TS  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDistributed and scalable native Graph DBMSA DBMS designed for efficient storage of vector data and vector similarity searchesRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSGraph DBMSVector DBMSTime Series DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
dgraph.iomilvus.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.databend.comdgraph.io/­docsmilvus.io/­docs/­overview.mdwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperDatabend LabsDgraph Labs, Inc.Open Source, formerly Basho TechnologiesAlex Kashirin
Initial release20212016201920152020
Current release1.0.59, April 20232.4.4, May 20243.0.0, September 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0Open SourceOpen Source infoGPL V3
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 languageRustGoC++, GoErlangC++
Server operating systemshosted
Linux
macOS
Linux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Linux
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringno
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.nonononono
Secondary indexesnoyesnorestricted
SQL infoSupport of SQLyesnonoyes, limitedSQL-like query language
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
RESTful HTTP APIHTTP API
Native Erlang Interface
Proprietary protocol
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++
Server-side scripts infoStored proceduresnononoErlangno
Triggersnononoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication via Raftselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesno infoPlanned for future releasesRole based access control and fine grained access rightsno
More information provided by the system vendor
DatabendDgraphMilvusRiak TSSWC-DB infoSuper Wide Column Database
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
DatabendDgraphMilvusRiak TSSWC-DB infoSuper Wide Column Database
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