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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. Ehcache vs. Firebird vs. Milvus

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. Ehcache vs. Firebird vs. Milvus

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Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonEhcache  Xexclude from comparisonFirebird  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.A widely adopted Java cache with tiered storage optionsFirebird is an open source RDBMS forked from Borland's InterBaseA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSKey-value storeRelational DBMSVector DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#207  Overall
#96  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlwww.ehcache.orgwww.firebirdsql.orgmilvus.io
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmwww.ehcache.org/­documentationwww.firebirdsql.org/­en/­reference-manualsmilvus.io/­docs/­overview.md
DeveloperAlibabaTerracotta Inc, owned by Software AGFirebird Foundation
Initial release20092000 infoAs fork of Borland's InterBase2019
Current release3.10.0, March 20225.0.0, January 20242.3.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 and C++C++, Go
Server operating systemshostedAll OS with a Java VMAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesschema-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.yesnono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsJDBC
ODBC
JCacheADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesC#
Java
PHP
Python
JavaC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnoPSQLno
Triggersyesyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoby using Terracotta ServernoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infoby using Terracotta ServerSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers with fine-grained authorization conceptRole based access control and fine grained access rights
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLEhcacheFirebirdMilvus
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
Highly 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 modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
Alibaba Cloud AnalyticDB for MySQLEhcacheFirebirdMilvus
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