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DBMS > BoltDB vs. Dragonfly vs. Ehcache vs. Google Cloud Bigtable

System Properties Comparison BoltDB vs. Dragonfly vs. Ehcache vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDragonfly  Xexclude from comparisonEhcache  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionAn embedded key-value store for Go.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA widely adopted Java cache with tiered storage optionsGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelKey-value storeKey-value storeKey-value storeKey-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.41
Rank#266  Overall
#38  Key-value stores
Score4.89
Rank#67  Overall
#8  Key-value stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Websitegithub.com/­boltdb/­boltgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.ehcache.orgcloud.google.com/­bigtable
Technical documentationwww.dragonflydb.io/­docswww.ehcache.org/­documentationcloud.google.com/­bigtable/­docs
DeveloperDragonflyDB team and community contributorsTerracotta Inc, owned by Software AGGoogle
Initial release2013202320092015
Current release1.0, March 20233.10.0, March 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoBSL 1.1Open Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxAll OS with a Java VMhosted
Data schemeschema-freescheme-freeschema-freeschema-free
Typing infopredefined data types such as float or datenostrings, hashes, lists, sets, sorted sets, bit arraysyesno
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 indexesnononono
SQL infoSupport of SQLnononono
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJCachegRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesGoC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
JavaC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoLuanono
Triggersnopublish/subscribe channels provide some trigger functionalityyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes infoby using Terracotta ServerInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic execution of command blocks and scriptsyes infosupports JTA and can work as an XA resourceAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyesyesyes 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.noyesyesno
User concepts infoAccess controlnoPassword-based authenticationnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
BoltDBDragonflyEhcacheGoogle Cloud Bigtable
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