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DBMS > Ehcache vs. RavenDB vs. Sqrrl vs. VictoriaMetrics

System Properties Comparison Ehcache vs. RavenDB vs. Sqrrl vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonRavenDB  Xexclude from comparisonSqrrl  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA widely adopted Java cache with tiered storage optionsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseAdaptable, secure NoSQL built on Apache AccumuloA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelKey-value storeDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Time Series 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
Score2.92
Rank#101  Overall
#18  Document stores
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.ehcache.orgravendb.netsqrrl.comvictoriametrics.com
Technical documentationwww.ehcache.org/­documentationravendb.net/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperTerracotta Inc, owned by Software AGHibernating RhinosAmazon infooriginally Sqrrl Data, Inc.VictoriaMetrics
Initial release2009201020122018
Current release3.10.0, March 20225.4, July 2022v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoAGPL version 3, commercial license availablecommercialOpen Source infoApache Version 2.0
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.
Implementation languageJavaC#JavaGo
Server operating systemsAll OS with a Java VMLinux
macOS
Raspberry Pi
Windows
LinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes
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 indexesnoyesyes
SQL infoSupport of SQLnoSQL-like query language (RQL)nono
APIs and other access methodsJCache.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesJava.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyesnono
Triggersyes infoCache Event Listenersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replicationselectable replication factor infomaking use of HadoopSynchronous 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)Default 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 infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACID, Cluster-wide transaction availableAtomic updates per row, document, or graph entityno
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.yesno
User concepts infoAccess controlnoAuthorization levels configured per client per databaseCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
EhcacheRavenDBSqrrlVictoriaMetrics
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