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DBMS > Elasticsearch vs. Firebase Realtime Database vs. Kinetica vs. Trafodion

System Properties Comparison Elasticsearch vs. Firebase Realtime Database vs. Kinetica vs. Trafodion

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonKinetica  Xexclude from comparisonTrafodion  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 metricCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Fully vectorized database across both GPUs and CPUsTransactional SQL-on-Hadoop DBMS
Primary database modelSearch engineDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score160.75
Rank#8  Overall
#1  Search engines
Score19.36
Rank#36  Overall
#5  Document stores
Score0.74
Rank#202  Overall
#97  Relational DBMS
Score0.45
Rank#245  Overall
#115  Relational DBMS
Websitewww.elastic.co/­elasticsearchfirebase.google.com/­products/­realtime-databasewww.kinetica.comtrafodion.apache.org
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlfirebase.google.com/­docs/­databasewww.kinetica.com/­docstrafodion.apache.org
DeveloperElasticGoogle infoacquired by Google 2014KineticaApache Software Foundation, originally developed by HP
Initial release2010201220122014
Current release7.8.0, June 20207.1, August 20212.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicensecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++C++, Java
Server operating systemsAll OS with a Java VMhostedLinuxLinux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statementsyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
JavaScript
Objective-C
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'user defined functionsJava Stored Procedures
Triggersyes infoby using the 'percolation' featureCallbacks are triggered when data changesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornonoyes infovia user defined functions and HBase
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, allEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 integrationyes infoGPU vRAM or System RAMno
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
ElasticsearchFirebase Realtime DatabaseKineticaTrafodion
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

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More resources
ElasticsearchFirebase Realtime DatabaseKineticaTrafodion
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