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DBMS > Badger vs. Databend vs. InfluxDB vs. Milvus vs. Snowflake

System Properties Comparison Badger vs. Databend vs. InfluxDB vs. Milvus vs. Snowflake

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatabend  Xexclude from comparisonInfluxDB  Xexclude from comparisonMilvus  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionAn 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 complexityDBMS for storing time series, events and metricsA DBMS designed for efficient storage of vector data and vector similarity searchesCloud-based data warehousing service for structured and semi-structured data
Primary database modelKey-value storeRelational DBMSTime Series DBMSVector DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­datafuselabs/­databend
www.databend.com
www.influxdata.com/­products/­influxdb-overviewmilvus.iowww.snowflake.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.databend.comdocs.influxdata.com/­influxdbmilvus.io/­docs/­overview.mddocs.snowflake.net/­manuals/­index.html
DeveloperDGraph LabsDatabend LabsSnowflake Computing Inc.
Initial release20172021201320192014
Current release1.0.59, April 20232.7.6, April 20242.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
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 languageGoRustGoC++, Go
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hosted
Linux
macOS
Linux
OS X infothrough Homebrew
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hosted
Data schemeschema-freeyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or datenoyesNumeric data and StringsVector, Numeric and Stringyes
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.nonononoyes
Secondary indexesnononono
SQL infoSupport of SQLnoyesSQL-like query languagenoyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
HTTP API
JSON over UDP
RESTful HTTP APICLI Client
JDBC
ODBC
Supported programming languagesGoGo
Java
JavaScript (Node.js)
Python
Rust
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonononouser defined functions
Triggersnonononono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoin enterprise version onlyShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneselectable replication factor infoin enterprise version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnonoACID
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.noyes infoDepending on used storage engineyesno
User concepts infoAccess controlnoUsers with fine-grained authorization concept, user rolessimple rights management via user accountsRole based access control and fine grained access rightsUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
BadgerDatabendInfluxDBMilvusSnowflake
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
RAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
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