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DBMS > Elasticsearch vs. Faircom EDGE vs. IBM Db2 Event Store vs. Realm

System Properties Comparison Elasticsearch vs. Faircom EDGE vs. IBM Db2 Event Store vs. Realm

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonRealm  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 environmentsDistributed Event Store optimized for Internet of Things use casesA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelSearch engineKey-value store
Relational DBMS
Event Store
Time Series DBMS
Document store
Secondary database modelsDocument store
Spatial DBMS
Vector 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
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitewww.elastic.co/­elasticsearchwww.faircom.com/­products/­faircom-edgewww.ibm.com/­products/­db2-event-storerealm.io
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.ibm.com/­docs/­en/­db2-event-storerealm.io/­docs
DeveloperElasticFairCom CorporationIBMRealm, acquired by MongoDB in May 2019
Initial release2010197920172014
Current release8.6, January 2023V3, October 20202.0
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercial infoRestricted, free version availablecommercial infofree developer edition availableOpen Source
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 and C++
Server operating systemsAll OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
Linux infoLinux, macOS, Windows for the developer additionAndroid
Backend: server-less
iOS
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesyes
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.noyesnono
Secondary indexesyes infoAll search fields are automatically indexedyesnoyes
SQL infoSupport of SQLSQL-like query languageyes infoANSI SQL queriesyes infothrough the embedded Spark runtimeno
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
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++yesno inforuns within the applications so server-side scripts are unnecessary
Triggersyes infoby using the 'percolation' featureyesnoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning infoCustomizable business rules for partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornonono
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
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLNo - written data is immutable
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyesyes infoIn-Memory realm
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standardyes

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More resources
ElasticsearchFaircom EDGE infoformerly c-treeEDGEIBM Db2 Event StoreRealm
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