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DBMS > Elasticsearch vs. Faircom EDGE vs. Titan

System Properties Comparison Elasticsearch vs. Faircom EDGE vs. Titan

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
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 environmentsTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelSearch engineKey-value store
Relational DBMS
Graph DBMS
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
Websitewww.elastic.co/­elasticsearchwww.faircom.com/­products/­faircom-edgegithub.com/­thinkaurelius/­titan
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperElasticFairCom CorporationAurelius, owned by DataStax
Initial release201019792012
Current release8.6, January 2023V3, October 2020
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercial infoRestricted, free version availableOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaANSI C, C++Java
Server operating systemsAll OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Unix
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyes
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.noyes
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languageyes infoANSI SQL queriesno
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
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Clojure
Java
Python
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++yes
Triggersyes infoby using the 'percolation' featureyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning infoCustomizable business rules for partitioningyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyes infovia Faunus, a graph analytics engine
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 Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.User authentification and security via Rexster Graph Server

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More resources
ElasticsearchFaircom EDGE infoformerly c-treeEDGETitan
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