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DBMS > Elasticsearch vs. Faircom EDGE vs. Hyprcubd vs. Ignite vs. Tkrzw

System Properties Comparison Elasticsearch vs. Faircom EDGE vs. Hyprcubd vs. Ignite vs. Tkrzw

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHyprcubd  Xexclude from comparisonIgnite  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
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 environmentsServerless Time Series DBMSApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelSearch engineKey-value store
Relational DBMS
Time Series DBMSKey-value store
Relational DBMS
Key-value 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
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.elastic.co/­elasticsearchwww.faircom.com/­products/­faircom-edgehyprcubd.com (offline)ignite.apache.orgdbmx.net/­tkrzw
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlapacheignite.readme.io/­docs
DeveloperElasticFairCom CorporationHyprcubd, Inc.Apache Software FoundationMikio Hirabayashi
Initial release2010197920152020
Current release8.6, January 2023V3, October 2020Apache Ignite 2.60.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercial infoRestricted, free version availablecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaANSI C, C++GoC++, Java, .NetC++
Server operating systemsAll OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
hostedLinux
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyes infotime, int, uint, float, stringyesno
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.noyesnoyesno
Secondary indexesyes infoAll search fields are automatically indexedyesnoyes
SQL infoSupport of SQLSQL-like query languageyes infoANSI SQL queriesSQL-like query languageANSI-99 for query and DML statements, subset of DDLno
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
gRPC (https)HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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++
Java
PHP
Python
Ruby
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++noyes (compute grid and cache interceptors can be used instead)no
Triggersyes infoby using the 'percolation' featureyesnoyes (cache interceptors and events)no
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 logsyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornonoyes (compute grid and hadoop accelerator)no
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLnoyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesnoyesyes infousing specific database classes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.token accessSecurity Hooks for custom implementationsno

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More resources
ElasticsearchFaircom EDGE infoformerly c-treeEDGEHyprcubdIgniteTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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