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DBMS > Elasticsearch vs. Faircom EDGE vs. RavenDB vs. RRDtool vs. Sphinx

System Properties Comparison Elasticsearch vs. Faircom EDGE vs. RavenDB vs. RRDtool vs. Sphinx

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonRavenDB  Xexclude from comparisonRRDtool  Xexclude from comparisonSphinx  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 DatabaseIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineKey-value store
Relational DBMS
Document storeTime Series DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.elastic.co/­elasticsearchwww.faircom.com/­products/­faircom-edgeravendb.netoss.oetiker.ch/­rrdtoolsphinxsearch.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlravendb.net/­docsoss.oetiker.ch/­rrdtool/­docsphinxsearch.com/­docs
DeveloperElasticFairCom CorporationHibernating RhinosTobias OetikerSphinx Technologies Inc.
Initial release20101979201019992001
Current release8.6, January 2023V3, October 20205.4, July 20221.8.0, 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercial infoRestricted, free version availableOpen Source infoAGPL version 3, commercial license availableOpen Source infoGPL V2 and FLOSSOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaANSI C, C++C#C infoImplementations in Java (e.g. RRD4J) and C# availableC++
Server operating systemsAll OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
macOS
Raspberry Pi
Windows
HP-UX
Linux
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL TypesnoNumeric data onlyno
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 infoExporting into and restoring from XML files possible
Secondary indexesyes infoAll search fields are automatically indexedyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageyes infoANSI SQL queriesSQL-like query language (RQL)noSQL-like query language (SphinxQL)
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
in-process shared library
Pipes
Proprietary protocol
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 infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++yesnono
Triggersyes infoby using the 'percolation' featureyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning infoCustomizable business rules for partitioningShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyesnono
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.none
Foreign keys infoReferential integritynoyes infowhen using SQLnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availablenono
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyes
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 databasenono

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More resources
ElasticsearchFaircom EDGE infoformerly c-treeEDGERavenDBRRDtoolSphinx
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