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DBMS > BoltDB vs. Dragonfly vs. Faircom DB vs. HBase

System Properties Comparison BoltDB vs. Dragonfly vs. Faircom DB vs. HBase

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDragonfly  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonHBase  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 instanceNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Wide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelKey-value storeKey-value storeKey-value store
Relational DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Websitegithub.com/­boltdb/­boltgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.faircom.com/­products/­faircom-dbhbase.apache.org
Technical documentationwww.dragonflydb.io/­docsdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlhbase.apache.org/­book.html
DeveloperDragonflyDB team and community contributorsFairCom CorporationApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release2013202319792008
Current release1.0, March 2023V12, November 20202.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoBSL 1.1commercial infoRestricted, free version availableOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++ANSI C, C++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
Unix
Windows infousing Cygwin
Data schemeschema-freescheme-freeschema free, schema optional, schema required, partial schema,schema-free, schema definition possible
Typing infopredefined data types such as float or datenostrings, hashes, lists, sets, sorted sets, bit arraysyes, ANSI SQL Types, JSON, typed binary structuresoptions to bring your own types, AVRO
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 indexesnonoyesno
SQL infoSupport of SQLnonoyes, ANSI SQL with proprietary extensionsno
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Java API
RESTful HTTP API
Thrift
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
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnoLuayes info.Net, JavaScript, C/C++yes infoCoprocessors in Java
Triggersnopublish/subscribe channels provide some trigger functionalityyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic execution of command blocks and scriptstunable from ACID to Eventually ConsistentSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoPassword-based authenticationFine grained access rights according to SQL-standard with additional protections for filesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
BoltDBDragonflyFaircom DB infoformerly c-treeACEHBase
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