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DBMS > Ehcache vs. Firebolt vs. Hypertable vs. RavenDB vs. Transwarp KunDB

System Properties Comparison Ehcache vs. Firebolt vs. Hypertable vs. RavenDB vs. Transwarp KunDB

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonFirebolt  Xexclude from comparisonHypertable  Xexclude from comparisonRavenDB  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA widely adopted Java cache with tiered storage optionsHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseAn open source BigTable implementation based on distributed file systems such as HadoopOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelKey-value storeRelational DBMSWide column storeDocument storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.10
Rank#344  Overall
#151  Relational DBMS
Websitewww.ehcache.orgwww.firebolt.ioravendb.netwww.transwarp.cn/­en/­product/­kundb
Technical documentationwww.ehcache.org/­documentationdocs.firebolt.ioravendb.net/­docs
DeveloperTerracotta Inc, owned by Software AGFirebolt Analytics Inc.Hypertable Inc.Hibernating RhinosTranswarp
Initial release2009202020092010
Current release3.10.0, March 20220.9.8.11, March 20165.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C#
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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.no
Secondary indexesnoyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnoyesnoSQL-like query language (RQL)yes
APIs and other access methodsJCache.Net
ODBC
RESTful HTTP API
C++ API
Thrift
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesJavaGo
JavaScript (Node.js)
Python
C++
Java
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononoyesyes
Triggersyes infoCache Event Listenersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serverdepending on storage layerselectable replication factor on file system levelMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACID, Cluster-wide transaction availableACID
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.yes
User concepts infoAccess controlnonoAuthorization levels configured per client per databaseyes

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More resources
EhcacheFireboltHypertableRavenDBTranswarp KunDB
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