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DBMS > Elasticsearch vs. EventStoreDB vs. Firebird vs. Kinetica vs. Memcached

System Properties Comparison Elasticsearch vs. EventStoreDB vs. Firebird vs. Kinetica vs. Memcached

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonEventStoreDB  Xexclude from comparisonFirebird  Xexclude from comparisonKinetica  Xexclude from comparisonMemcached  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 metricIndustrial-strength, open-source database solution built from the ground up for event sourcing.Firebird is an open source RDBMS forked from Borland's InterBaseFully vectorized database across both GPUs and CPUsIn-memory key-value store, originally intended for caching
Primary database modelSearch engineEvent StoreRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score1.19
Rank#173  Overall
#1  Event Stores
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Websitewww.elastic.co/­elasticsearchwww.eventstore.comwww.firebirdsql.orgwww.kinetica.comwww.memcached.org
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldevelopers.eventstore.comwww.firebirdsql.org/­en/­reference-manualsdocs.kinetica.comgithub.com/­memcached/­memcached/­wiki
DeveloperElasticEvent Store LimitedFirebird FoundationKineticaDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release201020122000 infoAs fork of Borland's InterBase20122003
Current release8.6, January 202321.2, February 20215.0.0, January 20247.1, August 20211.6.27, May 2024
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen SourceOpen Source infoInitial Developer's Public LicensecommercialOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C, C++C
Server operating systemsAll OS with a Java VMLinux
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
LinuxFreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexedyesyesno
SQL infoSupport of SQLSQL-like query languageyesSQL-like DML and DDL statementsno
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
Proprietary protocol
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
JavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesPSQLuser defined functionsno
Triggersyes infoby using the 'percolation' featureyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationnone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornonono
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 or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
Durability infoSupport for making data persistentyesyesyesno
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 RAM
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users and roles on table levelyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
ElasticsearchEventStoreDBFirebirdKineticaMemcached
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