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DBMS > Elasticsearch vs. Faircom EDGE vs. RavenDB vs. SWC-DB

System Properties Comparison Elasticsearch vs. Faircom EDGE vs. RavenDB vs. SWC-DB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonRavenDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA high performance, scalable Wide Column DBMS
Primary database modelSearch engineKey-value store
Relational DBMS
Document storeWide column store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.elastic.co/­elasticsearchwww.faircom.com/­products/­faircom-edgeravendb.netgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlravendb.net/­docs
DeveloperElasticFairCom CorporationHibernating RhinosAlex Kashirin
Initial release2010197920102020
Current release8.6, January 2023V3, October 20205.4, July 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercial infoRestricted, free version availableOpen Source infoAGPL version 3, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaANSI C, C++C#C++
Server operating systemsAll OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesno
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 indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languageyes infoANSI SQL queriesSQL-like query language (RQL)SQL-like query language
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful 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
Proprietary protocol
Thrift
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++yesno
Triggersyes infoby using the 'percolation' featureyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning infoCustomizable business rules for partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Tunable 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.Immediate Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
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.Memcached and Redis integrationyesno
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Authorization levels configured per client per database

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More resources
ElasticsearchFaircom EDGE infoformerly c-treeEDGERavenDBSWC-DB infoSuper Wide Column Database
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