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DBMS > etcd vs. Faircom EDGE vs. H2 vs. RavenDB

System Properties Comparison etcd vs. Faircom EDGE vs. H2 vs. RavenDB

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonH2  Xexclude from comparisonRavenDB  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 environmentsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelKey-value storeKey-value store
Relational DBMS
Relational DBMSDocument store
Secondary database modelsSpatial DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
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
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websiteetcd.io
github.com/­etcd-io/­etcd
www.faircom.com/­products/­faircom-edgewww.h2database.comravendb.net
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.h2database.com/­html/­main.htmlravendb.net/­docs
DeveloperFairCom CorporationThomas MuellerHibernating Rhinos
Initial release197920052010
Current release3.4, August 2019V3, October 20202.2.220, July 20235.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoRestricted, free version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoANSI C, C++JavaC#
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Android
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VMLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or datenoyes, ANSI Standard SQL Typesyesno
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 indexesnoyesyesyes
SQL infoSupport of SQLnoyes infoANSI SQL queriesyesSQL-like query language (RQL)
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
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
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
Java.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++Java Stored Procedures and User-Defined Functionsyes
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 logsWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source 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 ConsistencyDefault 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 integritynoyes infowhen using SQLyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyes, multi-version concurrency control (MVCC)yes
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.fine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
etcdFaircom EDGE infoformerly c-treeEDGEH2RavenDB
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