DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > BoltDB vs. Ehcache vs. Heroic vs. RavenDB vs. RocksDB

System Properties Comparison BoltDB vs. Ehcache vs. Heroic vs. RavenDB vs. RocksDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonEhcache  Xexclude from comparisonHeroic  Xexclude from comparisonRavenDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.A widely adopted Java cache with tiered storage optionsTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelKey-value storeKey-value storeTime Series DBMSDocument storeKey-value store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score3.65
Rank#85  Overall
#11  Key-value stores
Websitegithub.com/­boltdb/­boltwww.ehcache.orggithub.com/­spotify/­heroicravendb.netrocksdb.org
Technical documentationwww.ehcache.org/­documentationspotify.github.io/­heroicravendb.net/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperTerracotta Inc, owned by Software AGSpotifyHibernating RhinosFacebook, Inc.
Initial release20132009201420102013
Current release3.10.0, March 20225.4, July 20228.11.4, April 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJavaC#C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
macOS
Raspberry Pi
Windows
Linux
Data schemeschema-freeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesnono
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.nononono
Secondary indexesnonoyes infovia Elasticsearchyesno
SQL infoSupport of SQLnononoSQL-like query language (RQL)no
APIs and other access methodsJCacheHQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
C++ API
Java API
Supported programming languagesGoJava.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnononoyesno
Triggersnoyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby using Terracotta ServeryesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Immediate Consistency
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.
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes infosupports JTA and can work as an XA resourcenoACID, Cluster-wide transaction availableyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes 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.noyesnoyes
User concepts infoAccess controlnonoAuthorization levels configured per client per databaseno

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BoltDBEhcacheHeroicRavenDBRocksDB
Recent citations in the news

What I learnt from building 3 high traffic web applications on an embedded key value store.
21 February 2018, hackernoon.com

4 Instructive Postmortems on Data Downtime and Loss
1 March 2024, The Hacker News

Three Reasons DevOps Should Consider Rocky Linux 9.4
15 May 2024, DevOps.com

Roblox’s cloud-native catastrophe: A post mortem
31 January 2022, InfoWorld

How to Put a GUI on Ansible, Using Semaphore
22 April 2023, The New Stack

provided by Google News

Atlassian asks customers to patch critical Jira vulnerability
22 July 2021, BleepingComputer

Critical Jira Flaw in Atlassian Could Lead to RCE
22 July 2021, Threatpost

DZone Coding Java JBoss 5 to 7 in 11 steps
9 January 2014, dzone.com

provided by Google News

RavenDB Welcomes David Baruc as Chief Revenue Officer: Seasoned Tech Leader to Drive Global Sales and ...
13 June 2023, PR Newswire

Install the NoSQL RavenDB Data System
14 May 2021, The New Stack

Oren Eini on RavenDB, Including Consistency Guarantees and C# as the Implementation Language
23 May 2022, InfoQ.com

RavenDB Adds Graph Queries
15 May 2019, Datanami

How I Created a RavenDB Python Client
23 September 2016, Visual Studio Magazine

provided by Google News

Did Rockset Just Solve Real-Time Analytics?
25 August 2021, Datanami

Meta’s Velox Means Database Performance Is Not Subject To Interpretation
31 August 2022, The Next Platform

Linux 6.9 Drives AMD 4th Gen EPYC Performance Even Higher For Some Workloads
29 March 2024, Phoronix

Facebook's MyRocks Truly Rocks!
21 September 2020, Open Source For You

The Journey to a Million Ops / Sec / Node in Venice
16 March 2024, InfoQ.com

provided by Google News



Share this page

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Present your product here