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DBMS > Ehcache vs. EsgynDB vs. LevelDB vs. Milvus vs. TempoIQ

System Properties Comparison Ehcache vs. EsgynDB vs. LevelDB vs. Milvus vs. TempoIQ

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonEsgynDB  Xexclude from comparisonLevelDB  Xexclude from comparisonMilvus  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionA widely adopted Java cache with tiered storage optionsEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA DBMS designed for efficient storage of vector data and vector similarity searchesScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelKey-value storeRelational DBMSKey-value storeVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score2.78
Rank#103  Overall
#3  Vector DBMS
Websitewww.ehcache.orgwww.esgyn.cngithub.com/­google/­leveldbmilvus.iotempoiq.com (offline)
Technical documentationwww.ehcache.org/­documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdmilvus.io/­docs/­overview.md
DeveloperTerracotta Inc, owned by Software AGEsgynGoogleTempoIQ
Initial release20092015201120192012
Current release3.10.0, March 20221.23, February 20212.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoBSDOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
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++, JavaC++C++, Go
Server operating systemsAll OS with a Java VMLinuxIllumos
Linux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoVector, 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 indexesnoyesnono
SQL infoSupport of SQLnoyesnonono
APIs and other access methodsJCacheADO.NET
JDBC
ODBC
RESTful HTTP APIHTTP API
Supported programming languagesJavaAll languages supporting JDBC/ODBC/ADO.NetC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresnonono
Triggersyes infoCache Event Listenersnononoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replication between multi datacentersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoRole based access control and fine grained access rightssimple authentication-based access control
More information provided by the system vendor
EhcacheEsgynDBLevelDBMilvusTempoIQ infoformerly TempoDB
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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EhcacheEsgynDBLevelDBMilvusTempoIQ infoformerly TempoDB
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