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DBMS > Google Cloud Firestore vs. LevelDB vs. OrigoDB vs. Splice Machine

System Properties Comparison Google Cloud Firestore vs. LevelDB vs. OrigoDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonLevelDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonSplice Machine  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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA fully ACID in-memory object graph databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeKey-value storeDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitefirebase.google.com/­products/­firestoregithub.com/­google/­leveldborigodb.comsplicemachine.com
Technical documentationfirebase.google.com/­docs/­firestoregithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdorigodb.com/­docssplicemachine.com/­how-it-works
DeveloperGoogleGoogleRobert Friberg et alSplice Machine
Initial release201720112009 infounder the name LiveDB2014
Current release1.23, February 20213.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#Java
Server operating systemshostedIllumos
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoUser defined using .NET types and collectionsyes
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.nonono infocan be achieved using .NET
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
.NET Client API
HTTP API
LINQ
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.NetC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsnoyesyes infoJava
Triggersyes, with Cloud Functionsnoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoclient side managed; servers are not synchronizedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud DataflownonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
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.noRole based authorizationAccess rights for users, groups and roles according to SQL-standard

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More resources
Google Cloud FirestoreLevelDBOrigoDBSplice Machine
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