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

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

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonGridGain  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.GridGain is an in-memory computing platform, built on Apache IgniteEmbeddable 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 storeColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Key-value storeDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.63
Rank#54  Overall
#9  Document stores
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitefirebase.google.com/­products/­firestorewww.gridgain.comgithub.com/­google/­leveldborigodb.comsplicemachine.com
Technical documentationfirebase.google.com/­docs/­firestorewww.gridgain.com/­docs/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdorigodb.com/­docssplicemachine.com/­how-it-works
DeveloperGoogleGridGain Systems, Inc.GoogleRobert Friberg et alSplice Machine
Initial release2017200720112009 infounder the name LiveDB2014
Current releaseGridGain 8.5.11.23, February 20213.1, March 2021
License infoCommercial or Open Sourcecommercialcommercial, open sourceOpen Source infoBSDOpen SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .Net, Python, REST, SQLC++C#Java
Server operating systemshostedLinux
OS X
Solaris
Windows
z/OS
Illumos
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoUser 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.noyesnono infocan be achieved using .NET
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnonoyes
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
HTTP API
LINQ
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
PHP
Python
Ruby
Scala
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 Functionsyes (compute grid and cache interceptors can be used instead)noyesyes infoJava
Triggersyes, with Cloud Functionsyes (cache interceptors and events)noyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning infoclient side managed; servers are not synchronizedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)noneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyes (compute grid and hadoop accelerator)nonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes 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.yesyesyes
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.Role-based access control
Security Hooks for custom implementations
noRole based authorizationAccess rights for users, groups and roles according to SQL-standard

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More resources
Google Cloud FirestoreGridGainLevelDBOrigoDBSplice Machine
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