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DBMS > Ehcache vs. FileMaker vs. Hive vs. ScyllaDB

System Properties Comparison Ehcache vs. FileMaker vs. Hive vs. ScyllaDB

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonFileMaker  Xexclude from comparisonHive  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsFileMaker is a cross-platform RDBMS that includes a GUI frontend.data warehouse software for querying and managing large distributed datasets, built on HadoopCassandra and DynamoDB compatible wide column store
Primary database modelKey-value storeRelational DBMSRelational DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Websitewww.ehcache.orgwww.claris.com/­filemakerhive.apache.orgwww.scylladb.com
Technical documentationwww.ehcache.org/­documentationwww.claris.com/­resources/­documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.scylladb.com
DeveloperTerracotta Inc, owned by Software AGClaris infoa subsidiary of AppleApache Software Foundation infoinitially developed by FacebookScyllaDB
Initial release2009198320122015
Current release3.10.0, March 202219.4.1, November 20213.1.3, April 2022ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache Version 2Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VMiOS infoclient part only
Linux
OS X
Windows
All OS with a Java VMLinux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infoA http query request can return the data in XML formatno
Secondary indexesnoyesyesyes infocluster global secondary indices
SQL infoSupport of SQLnoyes infovia pluginsSQL-like DML and DDL statementsSQL-like DML and DDL statements (CQL)
APIs and other access methodsJCacheFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Thrift
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesJavaPHPC++
Java
PHP
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnoyesyes infouser defined functions and integration of map-reduceyes, Lua
Triggersyes infoCache Event Listenersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServernoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replication, warm standby infosince Version 14selectable replication factorselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
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 resourcenonono infoAtomicity and isolation are supported for single operations
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.yesyes infoin-memory tables
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and rolesAccess rights for users can be defined per object
More information provided by the system vendor
EhcacheFileMakerHiveScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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