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DBMS > Datomic vs. Heroic vs. Milvus vs. TypeDB

System Properties Comparison Datomic vs. Heroic vs. Milvus vs. TypeDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHeroic  Xexclude from comparisonMilvus  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityTime 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 searchesTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.
Primary database modelRelational DBMSTime Series DBMSVector DBMSGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.70
Rank#230  Overall
#20  Graph DBMS
#8  Object oriented DBMS
#106  Relational DBMS
Websitewww.datomic.comgithub.com/­spotify/­heroicmilvus.iotypedb.com
Technical documentationdocs.datomic.comspotify.github.io/­heroicmilvus.io/­docs/­overview.mdtypedb.com/­docs
DeveloperCognitectSpotifyVaticle
Initial release2012201420192016
Current release1.0.7075, December 20232.4.4, May 20242.28.3, June 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoGPL Version 3, commercial licenses available
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 languageJava, ClojureJavaC++, GoJava
Server operating systemsAll OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesVector, 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.nononono
Secondary indexesyesyes infovia Elasticsearchnoyes
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP APIgRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Supported programming languagesClojure
Java
C++
Go
Java
JavaScript (Node.js)
Python
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonono
TriggersBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingno
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesSynchronous replication via raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyesno
User concepts infoAccess controlnoRole based access control and fine grained access rightsyes infoat REST API level; other APIs in progress
More information provided by the system vendor
DatomicHeroicMilvusTypeDB infoformerly named Grakn
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» 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
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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DatomicHeroicMilvusTypeDB infoformerly named Grakn
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