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DBMS > Google Cloud Firestore vs. Hypertable vs. LevelDB vs. PlanetScale

System Properties Comparison Google Cloud Firestore vs. Hypertable vs. LevelDB vs. PlanetScale

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonHypertable  Xexclude from comparisonLevelDB  Xexclude from comparisonPlanetScale  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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.An open source BigTable implementation based on distributed file systems such as HadoopEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelDocument storeWide column storeKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websitefirebase.google.com/­products/­firestoregithub.com/­google/­leveldbplanetscale.com
Technical documentationfirebase.google.com/­docs/­firestoregithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdplanetscale.com/­docs
DeveloperGoogleHypertable Inc.GooglePlanetScale
Initial release2017200920112020
Current release0.9.8.11, March 20161.23, February 2021
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Go
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
Illumos
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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 indexesyesrestricted infoonly exact value or prefix value scansnoyes
SQL infoSupport of SQLnononoyes infowith proprietary extensions
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
C++ API
Thrift
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
Perl
PHP
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsnonoyes infoproprietary syntax
Triggersyes, with Cloud Functionsnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor on file system levelnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
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.nonoUsers with fine-grained authorization concept infono user groups or roles

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More resources
Google Cloud FirestoreHypertableLevelDBPlanetScale
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