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DBMS > FatDB vs. Google Cloud Firestore vs. GridGain vs. OpenTSDB vs. RisingWave

System Properties Comparison FatDB vs. Google Cloud Firestore vs. GridGain vs. OpenTSDB vs. RisingWave

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGridGain  Xexclude from comparisonOpenTSDB  Xexclude from comparisonRisingWave  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Cloud 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 IgniteScalable Time Series DBMS based on HBaseA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelDocument store
Key-value store
Document storeKey-value store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitefirebase.google.com/­products/­firestorewww.gridgain.comopentsdb.netwww.risingwave.com/­database
Technical documentationfirebase.google.com/­docs/­firestorewww.gridgain.com/­docs/­index.htmlopentsdb.net/­docs/­build/­html/­index.htmldocs.risingwave.com/­docs/­current/­intro
DeveloperFatCloudGoogleGridGain Systems, Inc.currently maintained by Yahoo and other contributorsRisingWave Labs
Initial release20122017200720112022
Current releaseGridGain 8.5.11.2, September 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoLGPLOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#Java, C++, .NetJavaRust
Server operating systemsWindowshostedLinux
OS X
Solaris
Windows
Linux
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnumeric data for metrics, strings for tagsStandard SQL-types and JSON
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
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServernoANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
Telnet API
JDBC
PostgreSQL wire protocol
Supported programming languagesC#Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Erlang
Go
Java
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infovia applicationsyes, Firebase Rules & Cloud Functionsyes (compute grid and cache interceptors can be used instead)noUDFs in Python or Java
Triggersyes infovia applicationsyes, with Cloud Functionsyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationyes (replicated cache)selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesUsing Cloud Dataflowyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess 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 implementationsnoUsers and Roles

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More resources
FatDBGoogle Cloud FirestoreGridGainOpenTSDBRisingWave
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