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DBMS > BoltDB vs. etcd vs. Google Cloud Firestore vs. GridGain vs. Netezza

System Properties Comparison BoltDB vs. etcd vs. Google Cloud Firestore vs. GridGain vs. Netezza

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGridGain  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionAn embedded key-value store for Go.A distributed reliable key-value storeCloud 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 IgniteData warehouse and analytics appliance part of IBM PureSystems
Primary database modelKey-value storeKey-value storeDocument storeKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score7.03
Rank#54  Overall
#5  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitegithub.com/­boltdb/­boltetcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­firestorewww.gridgain.comwww.ibm.com/­products/­netezza
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­firestorewww.gridgain.com/­docs/­index.html
DeveloperGoogleGridGain Systems, Inc.IBM
Initial release2013201720072000
Current release3.4, August 2019GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGoJava, C++, .Net
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
Windows infoexperimental
hostedLinux
OS X
Solaris
Windows
Linux infoincluded in appliance
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyesyesyes
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.nononoyes
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnononoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsgRPC
JSON over HTTP
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
JDBC
ODBC
OLE DB
Supported programming languagesGo.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnonoyes, Firebase Rules & Cloud Functionsyes (compute grid and cache interceptors can be used instead)yes
Triggersnoyes, watching key changesyes, with Cloud Functionsyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replicationyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowyes (compute grid and hadoop accelerator)yes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyes
User concepts infoAccess controlnonoAccess 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 with fine-grained authorization concept

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BoltDBetcdGoogle Cloud FirestoreGridGainNetezza infoAlso called PureData System for Analytics by IBM
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