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DBMS > Ehcache vs. Heroic vs. Microsoft Azure Synapse Analytics vs. Milvus

System Properties Comparison Ehcache vs. Heroic vs. Microsoft Azure Synapse Analytics vs. Milvus

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelKey-value storeTime Series DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.23
Rank#68  Overall
#8  Key-value stores
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score1.81
Rank#144  Overall
#5  Vector DBMS
Websitewww.ehcache.orggithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticsmilvus.io
Technical documentationwww.ehcache.org/­documentationspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.md
DeveloperTerracotta Inc, owned by Software AGSpotifyMicrosoft
Initial release2009201420162019
Current release3.10.0, March 20222.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
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 languageJavaJavaC++C++, Go
Server operating systemsAll OS with a Java VMhostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesVector, Numeric and String
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 indexesnoyes infovia Elasticsearchyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsJCacheHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaC#
Java
PHP
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoTransact SQLno
Triggersyes infoCache Event Listenersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Immediate Consistency
Immediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes 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.yesnoyes
User concepts infoAccess controlnoyesRole based access control and fine grained access rights
More information provided by the system vendor
EhcacheHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvus
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...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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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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EhcacheHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvus
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