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DBMS > Ehcache vs. Google BigQuery

System Properties Comparison Ehcache vs. Google BigQuery

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Our visitors often compare Ehcache and Google BigQuery with Redis, MongoDB and Elasticsearch.

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGoogle BigQuery  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsLarge scale data warehouse service with append-only tables
Primary database modelKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.09
Rank#65  Overall
#8  Key-value stores
Score45.62
Rank#24  Overall
#16  Relational DBMS
Websitewww.ehcache.orgcloud.google.com/­bigquery
Technical documentationwww.ehcache.org/­documentationcloud.google.com/­bigquery/­docs
DeveloperTerracotta Inc, owned by Software AGGoogle
Initial release20092010
Current release3.9.6, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsAll OS with a Java VMhosted
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesnono
SQL infoSupport of SQLnoyes
APIs and other access methodsJCacheRESTful HTTP/JSON API
Supported programming languagesJava.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScript
Triggersyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Servernone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceno infoSince BigQuery is designed for querying data
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)

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More resources
EhcacheGoogle BigQuery
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Recent citations in the news

Jira Data Center user? Here's a critical Ehcache vulnerability to spoil your day
22 July 2021, The Register

Ehcache 3.0 Released with Revamped API and Off-Heap Storage
2 May 2016, InfoQ.com

Memcached surpasses EhCache and Coherence in Java Job Demand
13 September 2011, InfoQ.com

Setting Up Distributed Infinispan Cache with Hibernate and Spring
26 May 2016, DZone News

How to Create a Spring Boot App With Caching Enabled
1 February 2017, DZone News

provided by Google News

Winning the 2020 Google Cloud Technology Partner of the Year – Infrastructure Modernization Award
20 July 2021, CIO

Google’s Logica language addresses SQL’s flaws
15 April 2021, InfoWorld

provided by Google News

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