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DBMS > Databend vs. Ehcache vs. GeoMesa vs. Milvus vs. VelocityDB

System Properties Comparison Databend vs. Ehcache vs. GeoMesa vs. Milvus vs. VelocityDB

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonEhcache  Xexclude from comparisonGeoMesa  Xexclude from comparisonMilvus  Xexclude from comparisonVelocityDB  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 complexityA widely adopted Java cache with tiered storage optionsGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A DBMS designed for efficient storage of vector data and vector similarity searchesA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSKey-value storeSpatial DBMSVector DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.ehcache.orgwww.geomesa.orgmilvus.iovelocitydb.com
Technical documentationdocs.databend.comwww.ehcache.org/­documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlmilvus.io/­docs/­overview.mdvelocitydb.com/­UserGuide
DeveloperDatabend LabsTerracotta Inc, owned by Software AGCCRi and othersVelocityDB Inc
Initial release20212009201420192011
Current release1.0.59, April 20233.10.0, March 20224.0.5, February 20242.3.4, January 20247.x
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercial
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 languageRustJavaScalaC++, GoC#
Server operating systemshosted
Linux
macOS
All OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Any that supports .NET
Data schemeyesschema-freeyesyes
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 indexesnonoyesnoyes
SQL infoSupport of SQLyesnononono
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JCacheRESTful HTTP API.Net
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
JavaC++
Go
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresnonononono
Triggersnoyes infoCache Event ListenersnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta Serverdepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby using Terracotta Serverdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)depending on storage layerBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes infosupports JTA and can work as an XA resourcenonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layeryesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnoyes infodepending on the DBMS used for storageRole based access control and fine grained access rightsBased on Windows Authentication
More information provided by the system vendor
DatabendEhcacheGeoMesaMilvusVelocityDB
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
DatabendEhcacheGeoMesaMilvusVelocityDB
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