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DBMS > Ehcache vs. Fujitsu Enterprise Postgres vs. Milvus vs. Sequoiadb

System Properties Comparison Ehcache vs. Fujitsu Enterprise Postgres vs. Milvus vs. Sequoiadb

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonMilvus  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A DBMS designed for efficient storage of vector data and vector similarity searchesNewSQL database with distributed OLTP and SQL
Primary database modelKey-value storeRelational DBMSVector DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitewww.ehcache.orgwww.postgresql.fastware.commilvus.iowww.sequoiadb.com
Technical documentationwww.ehcache.org/­documentationwww.postgresql.fastware.com/­product-manualsmilvus.io/­docs/­overview.mdwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperTerracotta Inc, owned by Software AGPostgreSQL Global Development Group, Fujitsu Australia Software TechnologySequoiadb Ltd.
Initial release200920192013
Current release3.10.0, March 2022Fujitsu Enterprise Postgres 14, January 20222.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache Version 2.0Open Source infoServer: AGPL; Client: Apache V2
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 languageJavaCC++, GoC++
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyes infooid, date, timestamp, binary, regex
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.nonono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyesnoSQL-like query language
APIs and other access methodsJCacheADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIproprietary protocol using JSON
Supported programming languagesJava.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsnoJavaScript
Triggersyes infoCache Event Listenersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverpartitioning by range, list and by hashShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDnoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardRole based access control and fine grained access rightssimple password-based access control
More information provided by the system vendor
EhcacheFujitsu Enterprise PostgresMilvusSequoiadb
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
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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....
» 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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EhcacheFujitsu Enterprise PostgresMilvusSequoiadb
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