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DBMS > Google Cloud Firestore vs. LMDB vs. Sphinx vs. Tigris vs. Tkrzw

System Properties Comparison Google Cloud Firestore vs. LMDB vs. Sphinx vs. Tigris vs. Tkrzw

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonLMDB  Xexclude from comparisonSphinx  Xexclude from comparisonTigris  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A high performant, light-weight, embedded key-value database libraryOpen source search engine for searching in data from different sources, e.g. relational databasesA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructureA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument storeKey-value storeSearch engineDocument store
Key-value store
Search engine
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score1.99
Rank#125  Overall
#21  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitefirebase.google.com/­products/­firestorewww.symas.com/­symas-embedded-database-lmdbsphinxsearch.comwww.tigrisdata.comdbmx.net/­tkrzw
Technical documentationfirebase.google.com/­docs/­firestorewww.lmdb.tech/­docsphinxsearch.com/­docswww.tigrisdata.com/­docs
DeveloperGoogleSymasSphinx Technologies Inc.Tigris Data, Inc.Mikio Hirabayashi
Initial release20172011200120222020
Current release0.9.32, January 20243.5.1, February 20230.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++
Server operating systemshostedLinux
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
macOS
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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 indexesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSQL-like query language (SphinxQL)nono
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Proprietary protocolCLI Client
gRPC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.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
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Go
Java
JavaScript (Node.js)
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsnononono
Triggersyes, with Cloud Functionsnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnonenoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes, using FoundationDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.nonoAccess rights for users and rolesno

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More resources
Google Cloud FirestoreLMDBSphinxTigrisTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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