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DBMS > Heroic vs. Milvus vs. OpenEdge vs. SingleStore vs. VictoriaMetrics

System Properties Comparison Heroic vs. Milvus vs. OpenEdge vs. SingleStore vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonMilvus  Xexclude from comparisonOpenEdge  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA DBMS designed for efficient storage of vector data and vector similarity searchesApplication development environment with integrated database management systemMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelTime Series DBMSVector DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score3.69
Rank#78  Overall
#42  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score1.23
Rank#165  Overall
#15  Time Series DBMS
Websitegithub.com/­spotify/­heroicmilvus.iowww.progress.com/­openedgewww.singlestore.comvictoriametrics.com
Technical documentationspotify.github.io/­heroicmilvus.io/­docs/­overview.mddocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.singlestore.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperSpotifyProgress Software CorporationSingleStore Inc.VictoriaMetrics
Initial release20142019198420132018
Current release2.4.4, May 2024OpenEdge 12.2, March 20208.5, January 2024v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialcommercial infofree developer edition availableOpen Source infoApache Version 2.0
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 languageJavaC++, GoC++, GoGo
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
HP-UX
Linux
Solaris
Windows
Linux info64 bit version requiredFreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesyes
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.nonoyesnono
Secondary indexesyes infovia Elasticsearchnoyesyes
SQL infoSupport of SQLnonoyes infoclose to SQL 92yes infobut no triggers and foreign keysno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP APIJDBC
ODBC
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
Progress proprietary ABL (Advanced Business Language)Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesyesno
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infosince Version 11.4Sharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication infostores two copies of each physical data partition on two separate nodesSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesno
User concepts infoAccess controlRole based access control and fine grained access rightsUsers and groupsFine grained access control via users, groups and roles
More information provided by the system vendor
HeroicMilvusOpenEdgeSingleStore infoformer name was MemSQLVictoriaMetrics
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
HeroicMilvusOpenEdgeSingleStore infoformer name was MemSQLVictoriaMetrics
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