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DBMS > Firebolt vs. Geode vs. LMDB vs. PouchDB vs. SQLite

System Properties Comparison Firebolt vs. Geode vs. LMDB vs. PouchDB vs. SQLite

Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonGeode  Xexclude from comparisonLMDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA high performant, light-weight, embedded key-value database libraryJavaScript DBMS with an API inspired by CouchDBWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSKey-value storeKey-value storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score1.99
Rank#125  Overall
#21  Key-value stores
Score2.28
Rank#115  Overall
#21  Document stores
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitewww.firebolt.iogeode.apache.orgwww.symas.com/­symas-embedded-database-lmdbpouchdb.comwww.sqlite.org
Technical documentationdocs.firebolt.iogeode.apache.org/­docswww.lmdb.tech/­docpouchdb.com/­guideswww.sqlite.org/­docs.html
DeveloperFirebolt Analytics Inc.Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.SymasApache Software FoundationDwayne Richard Hipp
Initial release20202002201120122000
Current release1.1, February 20170.9.32, January 20247.1.1, June 20193.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen SourceOpen SourceOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaScriptC
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js)server-less
Data schemeyesschema-freeschema-freeschema-freeyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesnoyes infonot rigid because of 'dynamic typing' concept.
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 indexesyesnonoyes infovia viewsyes
SQL infoSupport of SQLyesSQL-like query language (OQL)nonoyes infoSQL-92 is not fully supported
APIs and other access methods.Net
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesGo
JavaScript (Node.js)
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
JavaScriptActionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnouser defined functionsnoView functions in JavaScriptno
Triggersnoyes infoCache Event Listenersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replicationnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess rights per client and object definablenonono

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