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DBMS > Elasticsearch vs. Firebird vs. Hypertable vs. Quasardb

System Properties Comparison Elasticsearch vs. Firebird vs. Hypertable vs. Quasardb

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFirebird  Xexclude from comparisonHypertable  Xexclude from comparisonQuasardb  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed 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 metricFirebird is an open source RDBMS forked from Borland's InterBaseAn open source BigTable implementation based on distributed file systems such as HadoopDistributed, high-performance timeseries database
Primary database modelSearch engineRelational DBMSWide column storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score134.78
Rank#7  Overall
#1  Search engines
Score21.06
Rank#31  Overall
#19  Relational DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitewww.elastic.co/­elasticsearchwww.firebirdsql.orgquasar.ai
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.firebirdsql.org/­en/­reference-manualsdoc.quasar.ai/­master
DeveloperElasticFirebird FoundationHypertable Inc.quasardb
Initial release20102000 infoAs fork of Borland's InterBase20092009
Current release8.6, January 20235.0.0, January 20240.9.8.11, March 20163.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoInitial Developer's Public LicenseOpen Source infoGNU version 3. Commercial license availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++C++
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 infoan inofficial Windows port is available
BSD
Linux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infointeger and binary
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 indexedyesrestricted infoonly exact value or prefix value scansyes infowith tags
SQL infoSupport of SQLSQL-like query languageyesnoSQL-like query language
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
C++ API
Thrift
HTTP 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
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesPSQLnono
Triggersyes infoby using the 'percolation' featureyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factor on file system levelSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyeswith Hadoop integration
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes infoTransient mode
User concepts infoAccess controlUsers with fine-grained authorization conceptnoCryptographically strong user authentication and audit trail

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More resources
ElasticsearchFirebirdHypertableQuasardb
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