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DBMS > GeoMesa vs. Graph Engine vs. Heroic vs. Milvus vs. Warp 10

System Properties Comparison GeoMesa vs. Graph Engine vs. Heroic vs. Milvus vs. Warp 10

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHeroic  Xexclude from comparisonMilvus  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineTime 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 searchesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelSpatial DBMSGraph DBMS
Key-value store
Time Series DBMSVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.geomesa.orgwww.graphengine.iogithub.com/­spotify/­heroicmilvus.iowww.warp10.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.graphengine.io/­docs/­manualspotify.github.io/­heroicmilvus.io/­docs/­overview.mdwww.warp10.io/­content/­02_Getting_started
DeveloperCCRi and othersMicrosoftSpotifySenX
Initial release20142010201420192015
Current release4.0.5, February 20242.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache License 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 languageScala.NET and CJavaC++, GoJava
Server operating systems.NETLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesVector, 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.nonononono
Secondary indexesyesyes infovia Elasticsearchnono
SQL infoSupport of SQLnonononono
APIs and other access methodsRESTful HTTP APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP APIHTTP API
Jupyter
WebSocket
Supported programming languagesC#
C++
F#
Visual Basic
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesnonoyes infoWarpScript
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerhorizontal partitioningShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual Consistency
Immediate Consistency
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesnoyesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageRole based access control and fine grained access rightsMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
GeoMesaGraph Engine infoformer name: TrinityHeroicMilvusWarp 10
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
GeoMesaGraph Engine infoformer name: TrinityHeroicMilvusWarp 10
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