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DBMS > Elasticsearch vs. Firebird vs. KairosDB

System Properties Comparison Elasticsearch vs. Firebird vs. KairosDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFirebird  Xexclude from comparisonKairosDB  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 metricFirebird is an open source RDBMS forked from Borland's InterBaseDistributed Time Series DBMS based on Cassandra or H2
Primary database modelSearch engineRelational DBMSTime Series 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
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Websitewww.elastic.co/­elasticsearchwww.firebirdsql.orggithub.com/­kairosdb/­kairosdb
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.firebirdsql.org/­en/­reference-manualskairosdb.github.io
DeveloperElasticFirebird Foundation
Initial release20102000 infoAs fork of Borland's InterBase2013
Current release8.6, January 20235.0.0, January 20241.2.2, November 2018
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoInitial Developer's Public LicenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java
Server operating systemsAll OS with a Java VMAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyes infoAll search fields are automatically indexedyesno
SQL infoSupport of SQLSQL-like query languageyesno
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Graphite protocol
HTTP REST
Telnet API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesPSQLno
Triggersyes infoby using the 'percolation' featureyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
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 infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationno
User concepts infoAccess controlUsers with fine-grained authorization conceptsimple password-based access control

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More resources
ElasticsearchFirebirdKairosDB
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29 April 2024, InfoQ.com

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Elastic Reports 8x Speed and 32x Efficiency Gains for Elasticsearch and Lucene Vector Database
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