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DBMS > Google Cloud Firestore vs. GridGain vs. Memgraph vs. Snowflake vs. TerarkDB

System Properties Comparison Google Cloud Firestore vs. GridGain vs. Memgraph vs. Snowflake vs. TerarkDB

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonGridGain  Xexclude from comparisonMemgraph  Xexclude from comparisonSnowflake  Xexclude from comparisonTerarkDB  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 IgniteAn open source graph database built for real-time streaming and compatible with Neo4jCloud-based data warehousing service for structured and semi-structured dataA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument storeKey-value store
Relational DBMS
Graph DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.97
Rank#47  Overall
#8  Document stores
Score1.59
Rank#158  Overall
#26  Key-value stores
#73  Relational DBMS
Score3.09
Rank#105  Overall
#7  Graph DBMS
Score125.38
Rank#9  Overall
#6  Relational DBMS
Score0.06
Rank#377  Overall
#57  Key-value stores
Websitefirebase.google.com/­products/­firestorewww.gridgain.commemgraph.comwww.snowflake.comgithub.com/­bytedance/­terarkdb
Technical documentationfirebase.google.com/­docs/­firestorewww.gridgain.com/­docs/­index.htmlmemgraph.com/­docsdocs.snowflake.net/­manuals/­index.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperGoogleGridGain Systems, Inc.Memgraph LtdSnowflake Computing Inc.ByteDance, originally Terark
Initial release20172007201720142016
Current releaseGridGain 8.5.1
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree license availablecommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC and C++C++
Server operating systemshostedLinux
OS X
Solaris
Windows
Linuxhosted
Data schemeschema-freeyesschema-free and schema-optionalyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyesnoyesno
Secondary indexesyesyesno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoyesno
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
Bolt protocol
Cypher query language
CLI Client
JDBC
ODBC
C++ API
Java API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes (compute grid and cache interceptors can be used instead)user defined functionsno
Triggersyes, with Cloud Functionsyes (cache interceptors and events)no infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infodynamic graph partitioningyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)Multi-source replication using RAFTyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID infowith snapshot isolationACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
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.Security Hooks for custom implementationsUsers, roles and permissionsUsers with fine-grained authorization concept, user roles and pluggable authenticationno
More information provided by the system vendor
Google Cloud FirestoreGridGainMemgraphSnowflakeTerarkDB
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
Google Cloud FirestoreGridGainMemgraphSnowflakeTerarkDB
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