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DBMS > etcd vs. Faircom EDGE vs. Firebird vs. HBase

System Properties Comparison etcd vs. Faircom EDGE vs. Firebird vs. HBase

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFirebird  Xexclude from comparisonHBase  Xexclude from comparison
DescriptionA distributed reliable key-value storeFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsFirebird is an open source RDBMS forked from Borland's InterBaseWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelKey-value storeKey-value store
Relational DBMS
Relational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Websiteetcd.io
github.com/­etcd-io/­etcd
www.faircom.com/­products/­faircom-edgewww.firebirdsql.orghbase.apache.org
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.firebirdsql.org/­en/­reference-manualshbase.apache.org/­book.html
DeveloperFairCom CorporationFirebird FoundationApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release19792000 infoAs fork of Borland's InterBase2008
Current release3.4, August 2019V3, October 20205.0.0, January 20242.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoRestricted, free version availableOpen Source infoInitial Developer's Public LicenseOpen Source infoApache version 2
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 languageGoANSI C, C++C and C++Java
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Android
Linux infoARM, x86
Raspbian
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
Unix
Windows infousing Cygwin
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free, schema definition possible
Typing infopredefined data types such as float or datenoyes, ANSI Standard SQL Typesyesoptions 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.noyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyes infoANSI SQL queriesyesno
APIs and other access methodsgRPC
JSON over HTTP
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Java API
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++PSQLyes infoCoprocessors in Java
Triggersyes, watching key changesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Users with fine-grained authorization conceptAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
etcdFaircom EDGE infoformerly c-treeEDGEFirebirdHBase
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